1 to 25 of 485 Remote ETL Jobs

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 … support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer). THE ROLE The Data Engineer supports enterprise Extract, Transform, and Load (ETL) activities to deliver data to both humans and systems. Move structured and unstructured data using approved methods. Execute data ingestion activities … tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models. Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards. Develop and deliver documentation for each project including ETL mappings More ❯

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 … support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer). THE ROLE The Data Engineer supports enterprise Extract, Transform, and Load (ETL) activities to deliver data to both humans and systems. Move structured and unstructured data using approved methods. Execute data ingestion activities … tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models. Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards. Develop and deliver documentation for each project including ETL mappings More ❯

GIS stack solutions. - Develop and maintain REST endpoints for geospatial services and integrate them into various applications. - Automate GIS workflows through Python scripting and implement Extract, Transform, and Load (ETL) processes for geospatial data. - Implement containerized GIS services using Docker and Kubernetes, ensuring high availability and scalability. - Set up, manage … for containerization. - Experience with ElasticSearch for geospatial data indexing. - Strong knowledge of data formats such as MBTiles, GeoJSON, and Cloud Optimized GeoTIFF. - Experience with Extract, Transform, and Load (ETL) operations for geospatial data. - Experienced with AI/ML operations for Object Detection such as data labeling, annotation, inferencing, and model More ❯

members to support data workflows for bronze, silver, and gold data tables. Help identify recurring issues and suggest improvements for operational efficiency. Support basic ETL (Extract, Transform, Load) processes to maintain data pipelines. Execute simple data quality checks to ensure the accuracy and consistency of data. Assist in troubleshooting database … protocols and compliance requirements in database operations. Assist in Data Migration and Integration Efforts - Support the transition of data between systems by helping with Extract, Transform, Load (ETL) processes and ensuring data consistency across different platforms. Monitor and Troubleshoot Database Performance Issues - Identify potential bottlenecks, perform root cause analysis, and More ❯

years+) in a data engineering or similar role Strong proficiency in SQL and database technologies (e.g. MS SQL, Snowflake) Hands-on experience with ETL/ELT tools (Azure Data factory, DBT, AWS Glue, etc) Strong Proficiency in Power BI and Advanced Analytics. Good proficiency in Python for data processing, scripting More ❯

Spark, Flume, Hive, Impala, etc. Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, AutoScaling is a plus Experience developing and deploying ETL solutions on Azure Strong in Power BI, Java, C , Spark, PySpark, Unix shell/Perl scripting Familiarity with the technology stack available in the industry More ❯

ensuring timely and high-quality deliverables. Experience with cloud platforms (AWS, Azure, or GCP), including infrastructure provisioning, configuration, and cost optimization. Solid understanding of ETL/ELT processes and tools, with a track record of designing and managing reliable data pipelines. Expertise in CI/CD tools (e.g., Jenkins, GitLab More ❯

considered for a strong candidate): ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, DevOps. Hands-on experience with ETL/ELT processes and data warehousing. Solid understanding of data security and compliance standards. Experience with DevOps practices and tools (e.g., CI/CD pipelines More ❯

the team on a long term programme of work. Key Responsibilities: * ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality. * Monitor and troubleshoot production data pipelines, ensuring their performance and reliability. * Mentor junior engineers and lead … scalable data solutions. * Continuous Improvement: Proactively look for ways to improve data systems, processes, and tools, ensuring efficiency and scalability. Key Skills/Experience: * ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python More ❯

Factory Azure Data Lake Familiarity with continuous integration, continuous delivery, agile methodologies, and Azure DevOps. Familiarity with optimizing strategies, pipeline architectures, data sets, and ETL/ELT processes. You will likely be Passionate about technology, including the Hymans chosen technology stack (Microsoft development stack, Azure Cloud computing, Data Science technologies More ❯

clean, efficient code in Python and SQL with knowledge on building and optimizing data pipelines or analytics solutions. Foundational understanding of data pipelines and ETL/ELT processes, including data ingestion and transformation concepts. Basic knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) with a willingness to learn More ❯

Data Engineer - FinTech Company - Newcastle (Tech Stack: Data Engineer, Databricks, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) I’m working with a leading Software House in the FinTech industry, based in Newcastle, who are looking to hire a talented Data Engineer . This is a fantastic More ❯

platforms (AWS, Azure, GCP); You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog); You have extensive experience in ETL/ELT development and data pipeline orchestration (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions); You're proficient in SQL and Python , using More ❯

scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApp More ❯

accessibility across the organisation. Key Skills & Experience: Strong hands-on experience with Azure Data Platform technologies (Synapse, Data Lakes, ADF) Expertise in data modelling, ETL/ELT pipeline development, and data integration Proficient in SQL and Python (ideally PySpark) Knowledge of tools such as Power BI, Microsoft Fabric, and DevOps More ❯

with machine learning and predictive analytics. Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. Familiarity with data warehousing and ETL processes. Experience in a business or financial analysis environment. If you are passionate about data-driven decision-making and want to make an impact, we More ❯

fit-for-purpose data modelling solutions to address multiple business cases • Root cause analysis and pro-active investigation to identify potential issues and optimize ETL pipelines, notify end-users and propose adequate solutions • Prepare documentation for further reference General Skills Software Knowledge • Demonstratable delivery experience using Azure Databricks • Solid delivery More ❯

beneficial skills (not essential): Experience with Power BI, Python, C#, Angular, Power Automate, or data science practices. Knowledge of optimizing data pipelines, architectures, and ETL/ELT processes. Experience provisioning APIs for data consumption. A detailed list of requirements is available upon request. What we offer: A competitive salary and More ❯

like Spark, EMR, Hadoop etc. Hands on experience on data profiling, data modeling and data engineering using relational databases like Snowflake, Oracle, SQL Server; ETL tools like Informatica IICS; scripting using Python, R, or Scala; workflow management tools like Autosys Experience with stream processing systems like Kafka, Spark streaming etc More ❯

infrastructure as code (e.g., Terraform) Understanding of network protocols, security frameworks, and best practices for secure system architecture Familiarity with data engineering concepts, including ETL/ELT pipelines, big data tools, and AI/ML workflows Ability to troubleshoot complex system issues, perform root-cause analysis, and implement effective solutions More ❯

deliver solutions. Be willing to engage and assist in pre-sales activities, bids, proposals etc. Use key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. Consistently utilise key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs More ❯

Private Endpoints, Virtual networks, Firewall, multi-region network, Aware of best-practices in data modeling, data warehousing, data lake and lake house concepts and ETL-implementation processes CI/CD concepts You are recognized for Understanding the needs of stakeholders and customers to deliver successful and impactful solutions Strong collaboration More ❯

with relational SQL databases either on premises or in the cloud. Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps More ❯

organization to address their data needs, craft agile solutions, and continuously improve the data environment. What will you be doing? Design and implement efficient ETL processes for data extraction, transformation, and loading. Build real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing More ❯

data mining, statistical computing, and machine learning methods (e.g., LLMs, neural networks, NLP, clustering, and predictive analytics). • Experience working with large data sets, ETL processes, and data visualization tools such as Power BI, Tableau, or Qlik. • Expertise in DAX, Power Query (M), SQL, and scripting in Python or R More ❯