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Tier-one employer, common Data Engineer title, mid-level experience, and metro location increase applicant competition.
Data engineering skills transfer across industries but require specific tooling and platform knowledge.
Explicit 2+ years requirement plus mandatory Databricks, ETL and SQL skills enforce moderate filtering.
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Manage and review data engineering tasks and projects ensuring timely and accurate delivery for internal and external clients.
Design, build, and maintain scalable data pipelines and data models to support analytics, business intelligence, and downstream consumption using tools like DataBricks.
Prepare reports and dashboards (e.g., PowerBI) to track KPIs and support leadership decision-making on program performance, financials, and operations.
Bachelor's degree in a technical discipline (science, technology, engineering, mathematics).
Minimum 2 years of experience in data engineering or related role.
Proficiency in data warehousing tools and technologies (ETL, SQL, data integration) and understanding of database management systems.
Experience with DataBricks, data modeling, and data visualization tools like PowerBI.
Experienced in generating actionable insights through KPI tracking and advanced data visualization to guide program and financial decisions.
Comfortable leading and mentoring a team, overseeing task execution, and driving operational process automation for efficiency.
Capable of handling end-to-end data engineering responsibilities within complex, multi-stakeholder environments involving engineering, product operations, and project management.