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Job Description

As an Associate Data Engineer, you will help build and support data integration solutions that move information reliably and securely across enterprise platforms. The role contributes to ETL/ELT development, data pipeline operations, and testing activities within Agile delivery teams.

Responsibilities

  • 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 with issue resolution.
  • Monitor data pipelines and troubleshoot data processing issues.
  • Carry out data cleansing, profiling, and validation activities.
  • Develop SQL queries, stored procedures, and scripts to support 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.

Requirements

  • 2 years of experience in data engineering, software development, analytics, or a related technical role.
  • SQL development and query optimization skills.
  • Basic Python programming and scripting experience.
  • 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.

Technologies

Work may involve ETL/ELT, SQL, Python, Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, and cloud platforms including Azure, AWS, and GCP. Data pipeline and integration tooling may include Airflow, Data Factory, Informatica, Talend, SSIS, Spark, Hadoop, and Kafka. The role may also interface with DevOps and DataOps practices.

Benefits

  • Paid time off based on employee grade (A-F), including Vacation (12-25 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 an RRSP in Canada.
  • Life and disability insurance.
  • Employee assistance programs.
  • Other benefits as provided by local policy and eligibility.

Job Location

This is an onsite role based in Nashville, TN.

Preferred Qualifications

  • Experience with Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, or similar platforms.
  • Cloud platform exposure 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.

Compensation

The base compensation range for this role in the posted location is $54,380 - $99.650 per year.

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