Build and maintain data pipelines that support ingest, logging, validation, transformation, and secure data access.
Contribute to the development and improvement of scalable ETL/ELT processes under guidance from senior engineers.
Implement and evolve data models and storage patterns that support analytics and operational use cases.
Apply data quality checks, monitoring, and documentation to ensure data is accurate, reliable, and well understood.
Collaborate with internal teams and clients to understand data requirements and support analytics use cases.
Contribute to the ongoing development of Expression’s VOR Data Platform, including tooling, standards, and automation.
Participate in research, prototypes, and proof-of-concept work to evaluate new data and analytics technologies, including emerging AI-driven tools.
Follow established engineering practices and contribute ideas to improve reliability, performance, and developer experience.

Requirements

4–7 years of combined experience and education in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related field.
Hands-on experience building and maintaining ETL/ELT data pipelines and working with data warehouses, data lakes, or analytics platforms.
Experience working with SQL and familiarity with performance tuning and optimization concepts.
Exposure to data visualization or BI tools such as Tableau, Power BI, Superset, or similar.
Strong Python development experience
Familiarity with modern data tooling and workflows; experience using AI-assisted development tools is a plus.
Strong written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Ability to work effectively in a collaborative, remote-first environment.

Benefits

401k matching
PPO and HDHP medical/dental/vision insurance
Education reimbursement up to $10,000/yr
Complimentary life insurance
Generous rollover PTO and 11 days of holiday leave
Onsite gym facility and trainer
Commuter Benefits Plan
In-office Cold Brew Coffee

Applicant Tracking System Keywords

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

Hard skills

ETLELTdata pipelinesdata modelingSQLPythondata quality checksperformance tuningdata visualizationanalytics

Soft skills

communicationcollaborationproblem-solvingdocumentationadaptabilityteamworktechnical explanationreliability improvementperformance improvementdeveloper experience