Builds and maintains scalable data pipelines and infrastructure for business decisions, partnering with Analytics, Data Science, and Product teams. Requires 6+ years experience with Python, SQL, and modern data stack tools like Snowflake and Airflow.
180k – 225k/yr
Remote6+ YOEData Engineering
About the role
Responsibilities
Design, build, and maintain scalable data pipelines and infrastructure to support internal stakeholders and core business functions
Define, develop, and refine data governance, monitoring, and quality standards across the company
Partner with Product and Engineering to advocate for best practices in data engineering and ensure data needs are addressed early in the product lifecycle
Work cross-functionally with Analytics, Data Science, and Infrastructure to continuously evolve Headway’s data architecture
Own and drive technical decisions across the data platform, contributing to everything from performance optimization to infrastructure-as-code
Requirements
6+ years of experience as a data engineer, with a track record of building scalable systems and solving complex data problems in a fast-paced tech environment
Proficiency in Python and SQL
Experience with tools and services that encompass a modern data platform stack, such as Snowflake, dbt, Airflow, Fivetran, and Terraform
Familiarity with visualization tools like Metabase or Jupyter Notebooks is a plus
A pragmatic approach to building for both today’s needs and tomorrow’s scale
A strong sense of ownership and a bias toward action, especially in the face of ambiguity
Empathy for your teammates and stakeholders, and a collaborative mindset that values working across disciplines
Compensation and Benefits
Expected base pay range: $180,000 - $225,000, based on qualifications, experience, and location
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