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Job Description

The Associate Data Engineer will help build and support data integration capabilities across enterprise platforms, working alongside senior team members within Agile delivery teams. The position emphasizes ETL/ELT development, pipeline reliability, and validated movement of data for downstream analytics and reporting.

Role Overview

This role supports the design, development, testing, and maintenance of data integration solutions, including ETL/ELT processes and data pipelines. Work is performed under guidance from senior team members, with collaboration across 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 in resolving issues.
  • Monitor data pipelines and troubleshoot data processing issues.
  • Conduct data cleansing, profiling, and validation activities.
  • Develop SQL queries, stored procedures, and scripts for reporting and analytics support.
  • 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 teams.

Required Qualifications

  • At least 2 years of experience in data engineering, software development, analytics, or related technical roles.
  • SQL development and query optimization skills.
  • 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.

Technologies

ETL/ELT, SQL, Python, Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, Azure, AWS, GCP, Airflow, Data Factory, Informatica, Talend, SSIS, Spark, Hadoop, Kafka, DevOps, DataOps.

Preferred Skills

  • Experience with Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, or similar platforms.
  • Exposure to cloud platforms such as Azure, AWS, or GCP.
  • Familiarity 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 USD 54,380 - 99,650 per year.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation 12-25 days depending on grade, company-paid holidays, Personal Days, Sick Leave.
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
  • Life and disability insurance.
  • Employee assistance programs.
  • Other benefits as provided by local policy and eligibility.

Job Location

Onsite in Nashville, TN.

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