Senior Data Systems Engineer, Pipelines & Platforms

Atlas; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible PTO

Parental Leave Program

Growth and development opportunities

Diversity and inclusive environment

Job summary

Atlas HXM seeks a Senior Engineer who will design and build its core data systems, pipelines, and internal platforms powering production services. You will own data processing, schemas, and efficient storage, while emphasizing clean code, performance, and cost efficiency.

You will collaborate with product and backend teams, implement automated data testing and monitoring, and leverage AI-assisted tooling to accelerate delivery without compromising quality.

Qualifications

• 5+ years of professional software development in production.
• Deep understanding of relational DB internals and indexing.
• Experience with serverless streaming ingestions and Iceberg/Parquet sinks.
• Experience building AI/LLM-backed data use cases and retrieval pipelines.

Responsibilities

• Design, build, and maintain data processing pipelines.
• Collaborate to design operational DB schemas and analytical models.
• Write clean, tested code (SQL, Python, TypeScript).
• Audit queries and optimize storage and indexes.
• Enforce CI/CD across all data systems.
• Set up automated data testing, alerting, and monitoring.

Skills

SQL databases

Data pipelines

Python

TypeScript

CI/CD

AI/LLM tooling

Cloud storage/Parquet

Tools

Cloudflare Pipelines

Parquet

Iceberg

Snowflake

Databricks

DuckDB

Job description

Atlas HXM seeks a Senior Engineer who will design and build its core data systems, pipelines, and internal platforms powering production services. You will own data processing, schemas, and efficient storage, while emphasizing clean code, performance, and cost efficiency.

You will collaborate with product and backend teams, implement automated data testing and monitoring, and leverage AI-assisted tooling to accelerate delivery without compromising quality.