Architect and write software that solves complex business problems.
Own and serve as a Subject Matter Expert (SME) for large software systems.
Continuously monitor data pipelines in production and implement automated recovery systems.
Lead Engineering Design Reviews, providing well-articulated explanations for decisions.
Write software frameworks that can be extended by others on the team.
Translate business requirements into software solutions.
Know when and how to optimize complex code.
Collaborate cross-functionally including ML engineers.
Expert at scoping tasks.

Requirements

5+ years of professional software development experience.
Deep technical subject matter expertise in 3+ general areas of software development (e.g., Big Data Processing, Distributed Systems, Data Modeling).
3+ years of hands-on experience in Data Engineering with a focus on supporting analytics or data science teams.
Advanced proficiency in Python and SQL.
Proven ability to architect and write software that enables ML at scale—moving beyond simple ETL to building robust data platforms.
Strong background in modern data infrastructure relevant to AI (e.g., Spark, Airflow, Kafka, Vector Databases).
Experience with Data Lake/Lakehouse architectures (e.g., Databricks, Snowflake, Delta Lake).
Familiarity with MLOps concepts.
Proven ability to deploy and maintain data systems in production.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software architecturesoftware developmentdata engineeringPythonSQLBig Data ProcessingDistributed SystemsData ModelingMLOpsdata system deployment

Soft Skills

leadershipcollaborationtask scopingcommunicationproblem-solving