Data Engineer

About the Role

We’re looking for a Senior Data Engineer to design and build scalable data systems that power analytics and decision-making. You’ll define how data is captured, build reliable pipelines, and ensure data is accurate, accessible, and ready to use.

What We’re Looking For

Day-to-Day Responsibilities

• Design and maintain scalable data models and warehouse/lakehouse architectures
• Define standards for data capture, storage, quality, and governance
• Partner with software engineers to establish event tracking, data contracts, and logging patterns
• Build and operate ETL/ELT pipelines to centralize data from multiple sources (DBs, APIs, third-party tools)
• Orchestrate workflows and ensure reliable, timely delivery of clean data
• Monitor pipeline health, implement data quality checks, lineage, and alerting
• Create curated datasets and semantic layers that power dashboards and reporting
• Work with stakeholders to translate business needs into clear, usable data structures

Required Skills & Experience

• 10+ years of experience building production-grade data systems at scale
• Strong SQL and experience with modern data warehouses (Snowflake, BigQuery, Redshift, or Databricks)
• Proficiency in Python for data processing and pipeline development
• Experience building and maintaining ETL/ELT pipelines in production environments
• Hands-on experience with workflow orchestration tools (Airflow, Prefect, Dagster, or similar)
• Solid understanding of data modeling (dimensional modeling, schema design, data contracts)
• Experience with BI tools (Looker, Tableau, Metabase, Superset)
• Experience in defining and enforcing data quality, reliability, and governance practices
• Ability to work cross-functionally and translate business requirements into data solutions
• Strong ownership, comfortable driving ambiguous problems end-to-end

Nice to Have

• Experience with distributed processing tools like Spark / Databricks
• Familiarity with streaming systems (Kafka, Kinesis)
• Cloud and infrastructure experience (AWS, GCP, Terraform)
• Experience with event tracking tools (Segment, Amplitude, Mixpanel)
• Exposure to AI/ML data pipelines or model-supporting infrastructure