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The Heritage Foundation is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure that support analytics and decision-making. You will collaborate with analysts, engineers, and business stakeholders to deliver scalable solutions.
Responsibilities include implementing data quality processes, supporting data warehouses and lakes, and ensuring reliable data flow across systems. The role demands strong SQL, Python/Java/Scala, and familiarity with big data tools.
Reports to: Director, Information Technology
Job Summary : The Data Engineer is responsible for designing, building, and maintaining data pipelines and infrastructure to ensure data is reliable, accessible, and optimized for analytics and decision-making. The Data Engineer collaborates with cross-functional teams, including analysts, engineers, and business stakeholders, to deliver scalable data solutions that support organizational goals.
Job Duties:
Data Quality & Reliability
Stakeholder Support & Coordination
Qualifications:
Education: Bachelor’s degree or equivalent work experience
Technology: Microsoft Suite; proficiency in SQL, Python, Java, or Scala and experience with big data tools like Hadoop, Spark, or Kafka; strong familiarity with data management frameworks, data lakes, data warehouses, databases, and workflow orchestration tools; knowledge of data governance and data security practices; familiarity with BI tools
Other Requirements:
Benefits and Salary:
The Heritage Foundation offers a highly competitive benefits package that includes, but is not limited to, best-in-class health care, vision, and dental insurance, employer-sponsored retirement funding, “take what you need” PTO and sick leave, 14 weeks of paid leave for new moms and 6 weeks of paid leave for new dads, among other programs.
The salary range for this role is $105,000 - $130,000 annually. This is a good‑faith estimate, and the final salary offered to a selected candidate depends on a variety of factors including, but not limited to, the candidate’s experience, education, and other qualifications; internal and external market pay for comparable jobs; and level of hire based on aforementioned qualifications.