Senior Data Engineer, Remote

Job overview

The Senior Data Engineer role is fully remote. Compensation is not specified. The posting describes remote work and a contract-to-hire arrangement, with a bachelor's degree in a computer-related field and five or more years of data engineering experience required. The engineer builds and operates scalable enterprise data platforms, maintaining secure, reliable data flows across data lakes, warehouses, and pipelines. The work supports accurate, governed, and efficient data use through cloud engineering, automation, monitoring, and collaboration with product, architecture, and business stakeholders.

What you'll do

• Manage and enhance the enterprise data lake and warehouse
• design and maintain AWS data pipelines
• develop ETL/ELT workflows using Python and PySpark
• implement incremental processing, recovery, data quality, reconciliation, schema, and lineage controls
• optimize Glue/Spark, Athena, Redshift, and S3 workloads
• create event-driven pipelines using Kinesis/Kafka
• implement AWS security and governance
• monitor pipelines and resolve production incidents
• maintain version control, code review, testing, and CI/CD practices
• collaborate with stakeholders and document pipelines and procedures.

What we're looking for

Skills & competencies

senior data engineer

remote

aws

data pipelines

etl/elt

python

pyspark

redshift

data lake

data warehouse

cloudwatch

contract-to-hire

Work arrangement

• Weekend coverage required

Why this role

Requires a computer-related bachelor's degree and five or more years of data engineering experience; experience in regulated healthcare or life sciences environments is preferred.

About the employer

GEE Group, Inc is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.