476 to 500 of 1,128 Data Engineering Jobs

by Intrum, Europe's biggest credit management service and have begun the next phase in our growth - expansion into 17 European markets over the next two years. The Role - Data Engineer We are looking for our first dedicated Data Engineering hire to join our small but high performing data team. You will be responsible for ensuring … the scalability and reliability of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark as our primary tools. In this role, you'll get to: Own business critical components and perform … meaningful work with an impact on our company and our customers Design , implement and deliver data pipelines and infrastructure to support our machine learning and analytics products Collaborate as part of a fast paced data team and help achieve the team's goals of delivering high impact data products at scale Work with a modern data More ❯

Prestigious opportunity for a Data Platform Engineer within a pioneering technology team based in Manchester. Following a period of significant growth, investment and a cloud transformation, we are inviting you to join our success story! As our Azure Data Platform Engineer, you will be responsible for:- Designing, building, and maintaining scalable data solutions on Microsoft Azure. Designing … and implementing scalable data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and other Azure services. Leading technical workstreams and supporting project delivery. Acting as the subject-matter expert for cloud-based data engineering. Ensure data governance, security, and compliance standards are met. Monitoring and troubleshooting data platform performance and issues. Automate data ingestion … transformation, and integration processes. Document technical solutions and maintain best practices. If you possess a combination of some of the following skills, then LETS TALK! Proven experience with Azure data services (SQL, Data Factory, Data Lake, Synapse, Databricks, Azure SQL and Cosmos DB). Strong proficiency in designing and operating scalable data solutions and pipelines. Familiar More ❯

Junior Software Engineer (Full Stack) Location: Merrifield, VA on site Type: Full Time Complete Data Solutions (CDS) is a leading data engineering and analytics company focused on providing our federal government clients with innovative solutions to complex data engineering and analytics problems. CDS is proud of the data engineering support we have provided … to the Law Enforcement and Intelligence Communities over our 25-year history. CDS provides data center, analytic, system design/development, and reporting support to our federal clients. CDS offers competitive salaries and a comprehensive benefits program including health insurance, 401k, competitive paid annual leave, tuition reimbursement, and a host of other benefits, which reflects our long-term commitment … project leadership in a secure government environment. Responsibilities: • Develop, test, and deploy web applications using modern JavaScript frameworks such as React, Vue, or Angular. • Build RESTful APIs for secure data integration across DEA systems. • Design and optimize data models with relational (SQL Server, PostgreSQL, MySQL) and NoSQL (MongoDB, Elasticsearch) databases. • Support the integration of AI/ML-powered More ❯

maintaining and enhancing existing reports and dashboards as well as working on prioritised projects. As a BI Developer you'll play a vital role in the execution of our Data Analytics Strategy in which the business will implement a modern, cloud-based analytics platform. Responsibilities include: Data Analysis and Reporting: Transform raw data into user-friendly and … insightful dashboards and reports. This will include designing and implementing automated reporting solutions in Power BI Support the operation of the business's applications which support the distribution of data to external customers Data Modelling: Extract, transform, and load data from a variety of sources into Power BI and develop and maintain data models which support … data analysis and reporting requirements Collaboration: Work closely with stakeholders to understand their data needs and provide analytical support such as in the design of appropriate metrics or in identifying opportunities to automate and streamline reporting processes that improve efficiency and accuracy Working with data engineering colleagues to ensure our analytics architecture aligns with reporting needs More ❯

reconnaissance, combat applications, battlespace awareness, command and control, multi-level security and mission programs. This next generation approach shall employ the latest advancements in geolocation and tagging, sensor and data fusion, unconventional/asymmetric warfare, situational awareness, cyberspace and spectrum warfare, large data analytics, data lake, jamming technologies, sensor technologies, geo-registration to deliver a cutting-edge … expertise in software factory principles, embedded software development, and secure coding practices. Experience with DevSecOps CI/CD pipelines is essential. Additionally, the candidate should be skilled at managing engineering design or system integration risks and providing continuous risk management oversight. The role involves taking on leadership responsibilities, mentoring junior engineers, leading technical discussions, and contributing significantly to the … ensure cohesive project execution. Create and maintain technical documentation. Mentor and manage junior engineers, providing guidance and support. Lead technical discussions and contribute to system-level design decisions. Integrate data engineering and data science techniques to enhance software capabilities. Support AI/ML initiatives to drive innovative solutions. Qualifications REQUIRED EDUCATION AND EXPERIENCE: Active Top Secret Clearance More ❯

About Crystalloids Crystalloids was founded in 2006 and consists of qualified software and data specialists that help organizations innovate and grow their business by building data-driven solutions. We are a Premier Google Cloud partner. We believe that the foundation for a successful solution is based on three dimensions: the people, the processes, and the technology. At Crystalloids … an expert in developing scalable and maintainable software solutions on Google Cloud. You will work on projects that leverage serverless products and services, focusing on integrating high-quality software engineering practices into data-driven processes. Are you an experienced software developer passionate about creating efficient and secure solutions? Do you thrive in an environment that values collaboration, innovation … and tasks Develop (Cost) Efficient Solutions: Create efficient and scalable solutions within a defined architectural framework. Leverage serverless products and services to efficiently implement scalable and maintainable solutions. Create data engineering/integration solutions: Developing and implementing data engineering and integration solutions, including building data pipelines and performing data transformations based on specified designs. More ❯

Research Scientist at Odin Vision, you will implement and maintain state-of-the-art industry practices for efficient and reproducible machine learning processes. You will work alongside researchers and engineering teams to ensure that the processes are practicable and integrate well into existing structures. You must be able to work well in a multi-disciplinary team and have strong … is offered on a permanentbasis. What you'll do: Research and develop new AI technologies capable of positively impacting performance and efficiency Improving ML processes, such as experiment tracking, data versioning, model versioning Analytical techniques for extracting insight from a variety of data sources Training infrastructure planning and maintenance Monitoring of models in production Building, maintaining, and monitoring … data pipelines Supporting evaluation/comparison of ML models requirement Qualification: Graduated from a computer science, software engineering, or related degree program Experience: 5+ years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding More ❯

Business Intelligence Engineer , Amazon Last Mile Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the "magic" of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions … Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you'll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency … role. Responsibilities: Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities Define and govern key business metrics, build automated dashboards and analytic self-service capabilities More ❯

Benefits: Flexible working, Well-being coaching & Professional development support Start: ASAP The Client: One of Microsoft's Top 10 AI Partner in the UK, delivering cutting-edge GenAI and data-driven solutions across industries such as finance, reinsurance, retail, life sciences, logistics, and smart technology. This innovative digital consultancy builds scalable, secure, and impactful AI systems using the full … articulate technologist with strong stakeholder presence, experience in pre-sales, and the ability to define and deliver intelligent, scalable Azure-based AI architectures. Whether your background is in ML, data engineering, or cloud infrastructure, you're ready to own solution design and lead client-facing innovation. You're curious, commercially aware, and thrive in collaborative, agile environments. The … bases, and MCP integrations. Lead pre-sales engagements including PoCs, workshops, and stakeholder briefings. Collaborate with engineers, analysts, and scientists to guide delivery. Ensure best practice in responsible AI, data management, and security. Monitor performance and optimise ongoing AI solutions. Contribute to internal AI accelerators and communities of practice. Stay ahead of AI trends and emerging technologies. Mentor and More ❯

an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program. THE PROJECT The DarkStar Group's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We … develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support … Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer). THE ROLE The DevOps Engineer supports software and data engineering with DevOps tools, culture, and process changes to enable rapid and stable delivery of applications and technologies. Identifies, prototypes, engineers, and deploys emerging software engineering and More ❯

teams, business leaders, mission stakeholders, and technologists and the broader AI community, to shape how AI transforms industries in support of national defense priorities. Responsibilities/Duties: • Collaborate with engineering and product teams to translate complex AI concepts into accessible, real-world value stories • Educate internal stakeholders, partners, and clients about AI capabilities, limitations, and ethical considerations • Build and … demos, and content showcasing our AI initiatives • Stay current with AI research, tools, and industry trends; provide insights and thought leadership to influence our roadmap • Document and understand organization Data Science (DS) and Artificial Intelligence (AI) training programs • Identify Digital Services training gaps, offer trainings to fill those respective gaps • Standardize processes for training on tools developed. • Leverage quantitative … and qualitative data to influence design decisions • Provide ongoing tailored and on demand training to organization personnel on the technology stacks • Collaborate with individual organization and stakeholders to gather documentation on local hosting and data architecture relative to AI requirements • Conduct research to identify policies, directorates, stakeholders to design resources to develop feasible, viable and desirable solution through More ❯

vision insurance coverage, 401K with company match, PTO & paid holidays, and annual tuition/training assistance. For more information, please visit our website . Responsibilities/Duties: • Collaborate with engineering and product teams to translate complex AI concepts into accessible, real-world value stories • Educate internal stakeholders, partners, and clients about AI capabilities, limitations, and ethical considerations • Build and … demos, and content showcasing our AI initiatives • Stay current with AI research, tools, and industry trends; provide insights and thought leadership to influence our roadmap • Document and understand organization Data Science (DS) and Artificial Intelligence (AI) training programs • Identify Digital Services training gaps, offer trainings to fill those respective gaps • Standardize processes for training on tools developed. • Leverage quantitative … and qualitative data to influence design decisions • Provide ongoing tailored and on demand training to organization personnel on the technology stacks • Collaborate with individual organization and stakeholders to gather documentation on local hosting and data architecture relative to AI requirements • Conduct research to identify policies, directorates, stakeholders to design resources to develop feasible, viable and desirable solution through More ❯

NS2 Mission is seeking a highly skilled Systems Engineer with a strong background in DevOps and Data Engineering to join our dynamic team. The ideal candidate will bring extensive experience in AWS cloud services and automation tools, with particular expertise in NiFi and Elasticsearch, which are core to this role. You'll be responsible for designing, implementing, and … maintaining scalable data pipelines and cloud infrastructure supporting mission-critical systems. Key Responsibilities: Design, develop, and maintain automated data pipelines using Apache NiFi and related tools. Deploy and manage scalable infrastructure in AWS using CloudFormation, Ansible, Jenkins, and Git. Optimize and maintain Elasticsearch clusters for data indexing, search, and analytics. Collaborate with software engineers and data scientists to support development and integration of data systems. Develop infrastructure-as-code and scripting solutions using tools like Bash. Implement monitoring, logging, and alerting systems to ensure system availability and performance. Maintain secure and compliant cloud environments following industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or related field 6+ years of experience in More ❯

careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni - and counting. In addition to … or more of these skills then we would love to work with you! AI/ML Solution Architecture: Designing and deploying machine learning models and AI solutions tailored to engineering and data team workflows. Agentic AI Design: Expertise in building autonomous AI agents capable of decision-making, using frameworks like LangChain. LLM Integration & Customization: Proficiency in integrating large … language models (LLMs) into applications, including fine-tuning and prompt engineering for business-specific use cases. AI for Data Engineering: Implementing AI-powered data pipelines, ETL automation, and leveraging AI for data quality and governance. AI Infrastructure & MLOps: Experience with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps More ❯

learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data … e.g. Python Java C R is a plus Qualifications 10 years experience deploying machine learning algorithms is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required. 7 additional years machine learning experience with a relevant Bachelor's degree may be substituted … for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. This position requires in-scope poly, within 7 years. Pay & Benefit Highlights Compensation Above market fixed salary or hourly pay. Up to $10,000 bonus for each referral. Additional bonuses for exceptional performance, assisting with business development and company growth. Health More ❯

organization. Key Responsibilities Define and drive the AI architecture strategy aligned with business goals Design scalable AI and ML systems, leveraging cloud platforms (Azure, AWS, or GCP) Collaborate with data scientists, ML engineers, and business stakeholders Select and evaluate AI/ML frameworks, tools, and platforms Ensure AI models are production-ready, ethical, and explainable Define data requirements … MLOps best practices Hands-on experience with cloud services (Azure ML, AWS SageMaker, GCP Vertex AI) Proficient in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn) Familiarity with data engineering workflows and tools (Spark, Airflow, Databricks, etc.) Experience with GenAI, LLMs, or NLP is a strong plus Solid understanding of model governance, compliance, and responsible AI principles … Excellent communication skills and stakeholder management abilities Bachelor's or Master's degree in Computer Science, AI, Data Science, or similar Nice to Have Experience with vector databases and RAG (Retrieval-Augmented Generation) Familiarity with Kubernetes and containerized ML workloads Prior experience working in a consulting or freelance setup Knowledge of European data privacy regulations (e.g., GDPR More ❯

Overview: Arm is scaling for the age of AI, and data is key for that journey! We're building a robust internal data platform to empower engineers and enable innovation across the business. To support that mission, we're growing our Data Engineering Platform team and investing deeply in modern, reliable infrastructure. We're seeking a …/Scala, TypeScript, Python). Validated experience operating distributed systems at scale in production. Cloud AWS (primary), Kubernetes (future), Docker (current), Terraform. Excellent debugging skills across network, systems, and data stack. Observability tooling, e.g. custom metrics pipelines, OpenTelemetry tracing, or integrations across telemetry stacks. Security engineering and practical understanding of IAM hardening, zero-trust network principles, and secrets … management in data-heavy systems. Passion for building reliable, secure, and user-friendly platforms and products. "Nice To Have": Exposure to Azure or GCP environments. Experience migrating to Kubernetes (especially from legacy orchestrators!) Data platform expertise, knowledge of lakehouse architectures, Delta Lake, or real-time data processing patterns. Experience working in hybrid environments with asynchronous teamwork. Tuning More ❯

Candidate MUST possess a TS/SCI clearance with Intel Polygraph Overview: Looking for a Data Engineer to assist with strategic planning and oversee implementation of the Sponsor's cloud-based data environment Systems EngineerThe Sponsor supports analysts through the provision of large datasets, methodologies, and data visualizations to address pressing intelligence questions. The Sponsor requires support … developing and maintaining a cloud-based data environment to transport, store, extract, transform, and load (ETL), and disseminate data solutions. The Sponsor needs experienced support in data engineering, cloud architecture, and application development. The work includes engaging regularly with data scientists, analysts, and managers. The Data Engineer will assist with strategic planning and oversee … implementation of the Sponsor's cloud-based data environment, to include mapping of data sources and access controls. They will develop code, data models, and documentation to Sponsor standards; provide systems administration and programming support for ETL processes and data infrastructure efforts; and train and conduct knowledge transfer to team members on issues and technologies related More ❯

learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data … skills. Expert knowledge of multiple programming languages, e.g. Requirements: 10 years experience deploying machine learning algorithms is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required. 7 additional years machine learning experience with a relevant Bachelor's degree may be substituted … for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. Python Java C Desired Skills: R, a plus. Benefits: Health Insurance - Three-tiered Health Plan, 75% employer paid Health Savings Account (HSA) - Company-paid portion contribution Flexible Spending Accounts (FSA) - Annual pretax salary deferrals Dependent Care Flexible Spending Account (DCAP) - Annual More ❯

the United States without the need for current or future sponsorship. Essential Duties and Responsibilities: Evaluate, design, and implement robust security systems. Shield our information assets (devices, networks, applications, data, users) from cyber threats and continuously fortify our security posture. Focus on reducing our attack surface and continuously improve our company security posture. Develop, modify, and implement security controls … aligned with company policies and procedures that affect cybersecurity operations. Ensure compliance with applicable industry standards, frameworks, and regulations. Work hand-in-glove with Data Engineering, Analytics, and IT Operations to weave security and data governance best practices seamlessly into the software development life cycle. Evaluate company and vendor technology infrastructure security. Participate in disaster recovery and … skills and take swift action in resolving security alerts or breaches, safeguarding our digital borders. Conduct penetration testing and vulnerability scanning on all company networks and applications. Collaborate with engineering stakeholders to prioritize and remediate vulnerabilities based on severity and impact. Research emerging products, technologies, and best practices to improve security posture for the company. Provides recommendations to security More ❯

The Opportunity: CACI is seeking a software engineer to develop, maintain, and enhance complex and diverse software systems (e.g., processing intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements. You will work individually or as part of a team. You will review and test software … development, and requirements analysis and synthesis from system level to individual software components. You will be part of an overall effort to provide life cycle services that include systems engineering, integration, software development, testing, configuration management and training development in the following functional areas: Analytics, Knowledge Management, Information Sharing & Malware Analysis. Be part of a department with an expanding … development process standards Design and code new software or modify existing software to add new features Integrate existing software into new or modified systems or operating environments Develop simple data queries for existing or proposed databases or data repositories Write or review software and system documentation Serve as team lead at the level appropriate to the software development More ❯

Information Technology department your primary responsibilities will include: Manage and support the Fenergo application, ensuring it meets business requirements and operates efficiently. Support the design, development and implementation of Data Management strategies for Fenergo. Provide ongoing system administration, troubleshooting, and issue resolution. Conduct regular system maintenance, including updates, patches, and system health checks. Develop and maintain documentation related to … system configurations, user guides, and troubleshooting procedures. Support integration efforts between Fenergo and other enterprise applications, ensuring data accuracy and consistency across systems. Support testing of new features and enhancements, ensuring minimal disruption to daily operations. Identify opportunities for process improvements and automation within the Fenergo platform and collaborate with stakeholders to implement solutions. Assist in preparing reports and … data extraction from Fenergo for analysis, audits, and decision-making. The ideal background for this role: Bachelor's or Master's degree (or equivalent higher education) in Information Technology, Data Engineering, or a related field. Proven experience working with Fenergo or similar AML/KYC management software (minimum of 3 years). Experience in system configuration, customization More ❯

focused digital transformation consultancy. We blend the agility of a local business with the resources of a global enterprise, specialising in Azure to simplify how businesses modernise their IT, data, and analytics. Our strapline "modernisation, simplified " highlights our mission to make cloud journeys straightforward and effective. Role Overview: As a Graduate Azure Integration & Data Cloud Consultant, you will … specialise in Azure Integration Services, Data Engineering in Fabric, and DevOps. You will work directly with leading Azure tools including Azure Data Factory, Logic Apps, Fabric, Power BI, Databricks, Azure DevOps, OpenAI, and more. Your role will involve creating robust, scalable cloud-native solutions, automating deployments, and ensuring seamless integrations. Our culture is collaborative, fast-paced, and … using Azure Logic Apps, Service Bus, and related tools - connecting systems, connecting people. Automate cloud infrastructure using ARM/Bicep or Terraform with Azure DevOps. Design and develop Azure Data Factory pipelines. Participate in stand-ups, sprint planning, and retrospectives. Document solutions clearly for internal and client use. Engage closely with colleagues and clients, participating in pair programming, requirements More ❯

of geographically diversified software engineers responsible to develop scalable solutions by working directly with product development team. Our team culture is oriented towards equality in the realm of software engineering irrespective of hierarchy promoting innovation. One should feel empowered to iterate over ideas and experimentation without being afraid of failure. Responsibilities and Impact: You will enable S&P ratings … business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web applications, data pipelines, big data … in DevOps development and deployment using docker and containers. Domain knowledge in Financial Industry and Capital Markets is a plus. Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable More ❯

/ML Model Development: Design, develop, and deploy AI/ML models from concept to production Technology Exploration: Research and evaluate emerging AI/ML technologies for practical application Data Engineering: Build and maintain scalable data pipelines for AI/ML model development Infrastructure Optimization: Contribute to optimizing our AI infrastructure for scalability and efficiency Collaboration: Work More ❯