Databricks & AWS Data Engineer
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Nov 18, 2025.
Overview
We are seeking a Data Engineer with hands-on experience in Databricks and AWS to build and maintain scalable data pipelines. This is a mid-level role for someone who can independently develop data pipelines from scratch and work closely with the Data Manager and junior Data Engineers.
Roles & Responsibilities
Design, develop, and maintain ETL/ELT data pipelines using Databricks and AWS.
Build data pipelines from scratch, including data ingestion, transformation, validation, and delivery.
Integrate data from databases, APIs, cloud storage, and other sources.
Develop data processing solutions using SQL, Python, and Databricks.
Monitor data quality, troubleshoot pipeline issues, and optimize performance.
Support data lake/data warehouse environments and prepare datasets for Power BI reporting.
Collaborate with the Data Manager and junior Data Engineers on data solutions and technical requirements.
Document pipelines and participate in testing and production deployment.
Required Qualifications
3-5+ years of experience in Data Engineering or ETL Development.
Hands-on experience with Databricks and AWS for data engineering.
Proven experience building data pipelines from scratch.
Strong SQL and Python skills.
Experience with ETL/ELT, data integration, and data transformation.
Knowledge of data lake/data warehouse concepts and data quality practices.
Preferred Qualifications
Experience with PySpark, Delta Lake, and Databricks Workflows.
Experience with AWS services such as S3, Glue, Lambda, or Redshift.
Experience with Git/GitHub and Power BI.
Retail, e-commerce, or health & wellness industry experience.