Software / Data Engineer (1466) (Remote)

Zapata Technology•Augusta, GA

19h•Remote

About The Position

Zapata Technology is hiring a Software / Data Engineer to own and modernize a mission-critical data ecosystem. This is not a “run the pipeline” role — this is a build the next generation data platform role. You’ll take an environment currently powered by custom ASP.NET apps, Postgres stored procedures, and legacy VBA scripts and architect the transition to modern, scalable ETL and orchestration frameworks like Apache NiFi and Airflow. If you enjoy untangling complex data systems, designing clean pipelines, and turning “it works but no one knows how” into “it’s automated, documented, and scalable” — this role is for you.

Requirements

Strong experience building ETL/data pipelines without relying solely on ETL tools
Deep SQL and Postgres performance tuning experience
Experience writing data services in Python, C#, or ASP.NET
Experience modernizing legacy data environments
Comfort owning architecture decisions and working independently
Experience migrating systems to AWS
Shell scripting and automation experience
Experience working in Agile teams
4+ years of software or data engineering experience
Strong SQL and database design background
Experience building and maintaining ETL processes
Active Secret clearance with the ability to obtain TS/SCI

Nice To Haves

Familiarity with Spark, Databricks, or distributed processing is a plus

Responsibilities

Own the design and evolution of our ETL and data pipeline architecture
Replace fragile VBA and ad-hoc scripts with robust, testable data workflows
Design high-performance Postgres data models, queries, and stored procedures
Build ingestion and transformation services using Python, ASP.NET, and SQL
Lead the migration from custom ETL processes to modern tools (NiFi, Airflow)
Create data pipelines that power analytics, reporting, and operational systems
Improve data quality, observability, and governance across the platform
Partner with stakeholders to translate messy requirements into clean data solutions
Document and automate everything so the system scales beyond any one person