Associate Data Engineer

The Associate Data Engineer will contribute to the design, development, testing, and ongoing support of data integration solutions, including ETL/ELT processes and data pipelines. This role operates under guidance from senior team members and works alongside solution architects, business analysts, and senior data engineers in Agile delivery teams.

• Develop and maintain ETL/ELT jobs
  , workflows, and data pipelines
  .
• Perform data extraction, transformation, and loading from multiple source systems.
• Create and run 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
  .
• Conduct data cleansing
  , profiling
  , and validation activities.
• Build SQL queries
  , stored procedures
  , and scripts to support reporting and analytics
  .
• Assist in implementing data quality controls and data governance standards.
• Support cloud migration and modernization initiatives.
• Collaborate in Agile delivery teams with solution architects, business analysts, and senior data engineers.

• 2 years of experience in data engineering, software development, analytics, or a related technical role.
• 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.
• Bachelor’s degree in Computer Science
  , Information Technology
  , Engineering
  , Mathematics
  , or a related discipline.

• ETL/ELT, SQL, Python
• Snowflake, Azure Synapse, Databricks, Big Query, Redshift
• Azure, AWS, GCP
• Airflow, Data Factory, Informatica, Talend, SSIS
• Spark, Hadoop, Kafka
• Dev Ops, Data Ops

• Experience with Snowflake, Azure Synapse, Databricks, Big Query, Redshift, or similar platforms.
• Exposure to 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 Dev Ops and Data Ops practices.

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

• Paid time off based on employee grade (A-F), defined by policy:
  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 (for example, 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.

Onsite in Nashville, TN
.