Associate Data Engineer

Capgemini•Nashville, TN
•$54,380 - $99,650•Onsite

About The Position

The Associate Data Engineer supports the design, development, testing, and maintenance of data integration solutions that enable reliable, scalable, and secure data movement across enterprise platforms. Working under the guidance of senior team members, the role develops ETL/ELT processes, data pipelines, and workflows while following data quality, security, and governance standards. It provides a foundation for developing expertise in cloud data platforms, analytics, and modern data engineering practices. This is an onsite role based in Nashville, Tennessee.

Requirements

  • Two years of experience in data engineering, software development, analytics, or related technical roles.
  • SQL development and query optimization skills.
  • Basic Python programming and scripting skills.
  • 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.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related discipline.

Nice To Haves

  • Experience with Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, or similar platforms.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Experience with Airflow, Data Factory, Informatica, Talend, SSIS, or equivalent data integration tools.
  • Exposure to Spark, Hadoop, or Kafka.
  • Knowledge of DevOps and DataOps practices.

Responsibilities

  • Develop and maintain ETL/ELT jobs, workflows, and data pipelines.
  • Extract, transform, and load data from multiple source systems.
  • Create and execute unit tests, integration tests, and data validation scripts.
  • Support User Acceptance Testing (UAT) and assist with issue resolution.
  • Monitor data pipelines and troubleshoot data processing issues.
  • Perform data cleansing, profiling, and validation activities.
  • Develop SQL queries, stored procedures, and scripts for reporting and analytics.
  • Assist with 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.

Benefits

  • Paid time off based on employee grade, including 12–25 vacation days depending on grade, company-paid holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
  • Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
  • Life and disability insurance.
  • Employee assistance programs.
  • Other benefits as provided by local policy and eligibility.
  • The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.
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