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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Data Engineer - **Company:** Capgemini - **Location:** United States - **Experience:** Experienced - **Salary:** $75,000.0 - $95,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Unit Testing, Microsoft Azure, BigQuery, Cloud Computing, Profiling, Data Validation, Data Cleansing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mining, Data Warehousing, Relational Databases, Database Development, DevOps, Apache Hadoop, Python (Programming Language), Query Optimization, Cloud Services, DataOps, Software Engineering, SQL Stored Procedures, SQL Databases, SQL Server Integration Services, Talend, Data Processing, Scripting, Informatica Powercenter, Snowflake, Apache Spark, Integration Tests, Information Technology, Apache Kafka, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks - **Published:** August 29, 2026 - **Apply:** https://www.capgemini.com/jobs/541133-en_US_SAPBTP/x/ ## About the Role * 2 years of experience in data engineering, software development, analytics, or related technical roles. * SQL development and query optimization. * Basic Python programming and scripting. * Understanding of relational databases. * Familiarity with ETL/ELT concepts. * Basic understanding of data warehousing concepts. * Knowledge of data quality and validation techniques. * Understanding of Agile development methodologies. * Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, or similar platforms. * Cloud platforms such as Azure, AWS, or GCP. * Airflow, Data Factory, Informatica, Talend, SSIS, or equivalent data integration tools. * Exposure to Spark, Hadoop, or Kafka. * Knowledge of DevOps and DataOps practices. * Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related discipline. ## Description The Associate Data Engineer supports the design, development, testing, and maintenance of data integration solutions that enable reliable, scalable, and secure movement of data across enterprise platforms. Working under guidance from senior team members, the Associate Data Engineer develops ETL/ELT processes, data pipelines, and workflows while ensuring adherence to data quality, security, and governance standards. This role provides an excellent foundation for building expertise in cloud data platforms, analytics, and modern data engineering practices. Your role * Develop and maintain ETL/ELT jobs, workflows, and data pipelines. * Perform data extraction, transformation, and loading from multiple source systems. * Create and execute unit tests, integration tests, and data validation scripts. * Support User Acceptance Testing (UAT) and assist in issue resolution. * Monitor data pipelines and troubleshoot data processing issues. * Perform data cleansing, profiling, and validation activities. * Develop SQL queries, stored procedures, and scripts to support reporting and analytics. * Assist in implementing data quality controls and governance standards. * Support cloud migration and modernization initiatives. * Collaborate with solution architects, business analysts, and senior data engineers in Agile delivery teams. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)