Data Engineer

Posted 7ds ago

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Job Description

Data Engineer responsible for building and maintaining data platforms at Expression. Collaborating with senior engineers and stakeholders to implement data quality and governance measures.

Responsibilities:

  • 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

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