1,276 to 1,300 of 8,848 Python Jobs

Skills Advanced SQL: Highly proficient in writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory, decision trees, and hypothesis testing (p-values … confidence intervals, Bayesian testing etc.). Data Visualization: Hands‐on experience building interactive dashboards using tools like Power BI, Looker, or Python libraries. Experience: 3+ years of experience in a quantitative analytics or data science role in a fast‐paced environment. Business Acumen: Demonstrated track record of framing business problems ...

maintain CI/CD pipelines in GitLab, supporting automated build, test, and deployment workflows Write and maintain automation scripts and tooling using Bash and Python Manage and support API gateway and reverse Proxy tooling, including Kong (CE/EE) and Nginx Configure and maintain monitoring and alerting using Prometheus, Grafana … experience with Terraform and Ansible for infrastructure as code Experience building and maintaining CI/CD pipelines using GitLab Proficiency in Bash and Python Scripting for automation Experience with Kong (CE/EE) and/or Nginx for API gateway/reverse Proxy management Experience with Prometheus, Grafana, and Alert ...

supportable handoff. This is a hands-on data and software engineering role. You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role … What You'll Do Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls. ...

platform capabilities — including workspaces, clusters, policies, jobs, libraries, and integrations — to support production‐grade data workloads Build automation around platform provisioning and operations using Python or Java, reducing manual effort and improving consistency across environments Create and maintain CI/CD pipelines for infrastructure and platform deployments, including Terraform plan … CloudWatch, and load balancing Working experience with Databricks, including platform administration and/or building and supporting production workloads Proficiency in Python (preferred) or Java, with demonstrated ability to build automation, tooling, and platform integrations Experience with Git‐based workflows and CI/CD practices applied to infrastructure and platform ...

Strengthen cybersecurity through effective security controls, vulnerability management and endpoint protection. • Develop reporting, analytics and automation solutions using technologies such as Power BI, SQL, Python and PowerShell. • Provide 2nd and 3rd line technical support, resolving complex issues and minimising operational disruption. • Work closely with manufacturing and operational teams to ensure … principles, including MFA, endpoint security, identity governance, patch management and vulnerability remediation. • Experience developing business intelligence, automation or reporting solutions using SQL, Power BI, Python or PowerShell. • Experience supporting multi-site operational environments. • Strong troubleshooting, analytical and problem-solving skills. • Excellent communication and stakeholder management skills. • Experience working with third ...

enterprise-wide engineering strategy and lead the delivery of complex, business-critical data solutions. Working across multiple teams and technologies, including Databricks, dbt, Azure, Python, and SQL, you will drive the modernisation, simplification, and automation of our data landscape while ensuring solutions are secure, resilient, scalable, and aligned to business … Azure, together with a proven track record of designing and delivering large‐scale, production‐grade data solutions. You will possess strong technical expertise in Python, SQL, software engineering, DevOps, and CI/CD practices, alongside a deep understanding of data architecture, modelling, governance, security, resilience, and risk controls. Experience operating ...

enterprise-wide engineering strategy and lead the delivery of complex, business-critical data solutions. Working across multiple teams and technologies, including Databricks, dbt, Azure, Python, and SQL, you will drive the modernisation, simplification, and automation of our data landscape while ensuring solutions are secure, resilient, scalable, and aligned to business … Azure, together with a proven track record of designing and delivering large‐scale, production‐grade data solutions. You will possess strong technical expertise in Python, SQL, software engineering, DevOps, and CI/CD practices, alongside a deep understanding of data architecture, modelling, governance, security, resilience, and risk controls. Experience operating ...

discussions Understand customer pain and translate it into high-impact technical solutions tied to business value Build and deliver tailored demos and POCs using Python, Airflow, and related tools Guide customers through modern DataOps strategies - from orchestration to observability and automation Influence product feedback loops, collaborate cross-functionally, and contribute … teams. We’re not looking for a perfect checklist match - but here’s what a strong candidate would possess: Business level French language skills Python fluency, CLI comfort, and experience building with tools like Docker Familiarity with cloud-native data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows ...

Response: Implement AWS CloudWatch, AWS Security Hub, GuardDuty, Splunk, or ELK for proactive monitoring, logging, and compliance reporting. Automation & Scripting: Develop automation scripts using Python, Bash, or PowerShell to improve deployment efficiency and security enforcement. Collaboration & Knowledge Sharing: Work closely with software developers, cybersecurity teams, and cloud engineers to integrate … NIST 800-171/53, STIGs, ZeroTrust). Experience implementing automated security testing (SAST, DAST, vulnerability scanning, SBOM management). Proficiency in scripting (Python, Bash, PowerShell) for automation and security enforcement. Salary Range: $150,000 - $180,000 annually. Actual compensation will be determined based on the selected candidate's experience ...

while partnering directly with customers in manufacturing, retail, security, robotics, and beyond. This is a hands‐on role for an engineer who enjoys writing Python, training and optimizing models, deploying across cloud and edge, and owning outcomes throughout the customer lifecycle. If you thrive on ambiguous problems, direct customer contact … design training, inference, and deployment strategies. Lead technical qualification and solution design alongside Account Executives and Customer Success Managers. Prototyping and deployment Build Python prototypes with YOLO, OpenCV, PyTorch, and Docker. Create benchmarks, integrations, and production‐ready training and deployment workflows. Deploy solutions across Linux, macOS, Windows, cloud, and edge ...

integration solutions within the healthcare industry. The ideal candidate will build ETL/ELT processes to support enterprise analytics, working with large datasets using Python, SQL, and distributed computing technologies like Spark on the AWS platform. Key Responsibilities: Design, develop, and maintain scalable cloud-based data pipelines and integration solutions … Agile ceremonies and collaborate with cross-functional teams throughout the software development lifecycle Primary Requirements: 5+ years of professional data engineering experience Strong Python and SQL skills with experience developing scalable ETL/ELT pipelines Experience processing large datasets using Spark, PySpark, Spark SQL, or similar distributed processing technologies Experience ...

Sr. Software Engineer - Calfus Inc., Pleasanton, CA. Architect, develop & manage cloud-native SaaS apps (React/Next.js, Python, Node.js/NestJS, microservices); design & implement AI systems incl. LLM integration, RAG pipelines, vector DBs & multi-agent workflows (LangChain/LangGraph); build event-driven backend systems on AWS/Azure/ ...

risk across your area of responsibility What you will need Strong expertise across data engineering tooling and platforms: pipelines, cloud data services, SQL and Python, with machine learning pipelines and AI driven analytics, built for reliability and scale A solid grounding in data governance, data quality, security and lineage within … regulatory reporting, management information and operational resilience Demonstrable success building and maintaining pipelines and platforms in demanding, complex business environments Fluency in SQL, Python and modern data engineering methods at enterprise level Time served supporting reporting, analytics, management information or operational data services Comfort working to defined data governance, security ...

mitigation trade-offs A proactive mindset — you don't wait to be asked; you spot something unusual and you dig in Some exposure to Python or scripting for data manipulation and analysis Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative) Strong stakeholder management skills … bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field Experience with the following would be a plus Data governance Python or any other scripting language Git or any other version control tool What we can offer you Culture - We put our people first and prioritise ...

customer‐facing or field roles. Proven success building and deploying AI/ML or data‐intensive applications in production. Deep full‐stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems … REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI). Knowledge of SLM Finetuning and Distillation is big advantage. Experience and knowledge of Agentic development platforms ...

when you need support. What will you be working on? Data Engineering → Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management. Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across … Insights: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation. Qualifications Technical Expectations: Proficient in Python, with experience in automation and building data pipelines. Strong expertise in working with tools like DBT and Airflow for ETL processes. Skilled in using REST ...

disciplines, including: Artificial Intelligence and machine learning AI systems engineering and integration Natural Language Processing Computer vision and image processing Quantum technologies C++ and Python development Modern web technologies Cloud-native engineering Distributed systems and architecture Network protocols and communications Observability and monitoring platforms Message brokers and event-driven architectures … broader interest in technology and solution design. You'll ideally bring: Strong software engineering experience in one or more languages such as C++, Python, Java, JavaScript, Rust or similar . Experience developing or evaluating technical solutions across multiple technology domains. An understanding of modern distributed systems and software architecture. Experience ...

commercial and operational decisions. Applying statistical and machine learning techniques to build predictive and prescriptive models, test hypotheses and solve real business problems. Using Python, PySpark and SQL to analyse data and develop high-quality, maintainable solutions. Creating and maintaining data pipelines and automated workflows, following agreed ETL and data … domain. Proven expertise in using data, statistical analysis and machine learning to solve business challenges and generate actionable insight. Strong technical capability across Python, PySpark and SQL, with experience working with complex datasets. Strong knowledge of machine learning algorithms, including classification, regression, supervised learning and unsupervised learning. Proven expertise ...

time on manual operations. Run our blockchain nodes across the networks we support, and keep them healthy and available. Write and maintain services in Python for infrastructure management and wallet operations. Own the integrations with third-party custodians. Build out Kubernetes and Docker deployments as we containerize more … Hands-on experience with Ansible, Terraform, or similar configuration management and Infrastructure as Code tooling. Experience running containerized workloads on Kubernetes and Docker. Solid Python and/or Go skills, with real production experience. A strong security focus - you've worked on systems where key management and access control ...

across our technology estate Our Data Technology Stack Cloud: Microsoft Azure Data platforms: Azure Databricks, SQL Server, Cosmos DB and Blob Storage Data processing: Python, Spark and SQL Messaging: Azure Service Bus and Event Hubs DevOps and infrastructure: Azure DevOps, GitHub Actions and Terraform You don’t need to have … scalable production data pipelines Strong understanding of ETL and ELT architectures and patterns Strong programming and data transformation skills, particularly using technologies such as Python, Spark and SQL Experience working with cloud-based data platforms Experience designing systems for reliability, observability, performance and data quality Strong understanding of data modelling ...

supportable handoff. This is a hands-on data and software engineering role. You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you\'re looking for a purely declarative configuration role … What You\'ll Do Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls. ...

projects while exploring how Agentic AI is transforming data engineering. What we're looking for: 24 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such ...

teams on complex technical programmes. Required Skills Mechanical engineering, simulation, or computational modelling background. Experience with FEA, CFD, and/or multiphysics simulation. Strong Python development skills. Experience applying AI/ML techniques to engineering and simulation problems. Experience developing surrogate models, reduced‐order models, or Physics‐Informed Neural Networks … MBSE). Experience with SysML and tools such as: Cameo Capella Enterprise Architect Experience integrating simulation environments with system‐level engineering processes. Software & Cloud Python development. API development and integration. Azure (preferred), AWS, or GCP. Docker and Kubernetes/AKS. Microservices and distributed architectures. Required Qualifications A Bachelor ...

years in SRE and-or DevTools support roles. \n Beginner level programming and-or scripting in 2 or more of the following: Python, Java, Go, PowerShell, JavaScript, Terraform, Ansible, Helm, Chef, Cloud Formation. \n Basic understanding of YAML, JSON, HTML, XML. \n Hands on experience in Linux and -or Windows … Solid knowledge of Linux systems, networking, and containerization (Docker-Kubernetes). \n Hands-on experience with cloud platforms. \n Programming-Scripting: Proficiency in Python, Ansible, or similar languages. \n Mindset: Strong problem-solving skills, systems thinking, self-starter, and a passion for reliability. \n \n \n Visa ...

optimise cloud infrastructure s for our clients. The successful candidate will have strong hands‐on experience with AWS, Terraform, Docker, Kubernetes, Linux, and Python scripting to support modern CI/CD and deployment practices across our environments. What You’ll Do Report to the Head of Development, providing key operational … CloudWatch). Proven knowledge of Terraform for infrastructure provisioning. Proficiency with Linux system administration. Hands‐on experience with Docker and Kubernetes in production. Python scripting for automation and DevOps tooling. Understanding of CI/CD workflows and version control systems (e.g., GitHub, GitLab). Nice to Haves Exposure to Microsoft ...