Senior Data Engineer

Who you are

• 5+ years building production software, with at least 2 to 3 of those focused on data engineering
• Strong programming skills in Python and advanced proficiency in SQL
• Proven experience building ETL/ELT pipelines end to end, from ingestion through serving
• Hands-on experience with a cloud platform (AWS, GCP, or Azure) and a modern data warehouse (Snowflake, BigQuery, or Redshift)
• Experience with workflow orchestration tools like Airflow
• Experience supporting BI tools such as Looker or Tableau, and building semantic layers and dashboards
• Deep fluency across the full data lifecycle: ingestion, storage, processing, transformation, and serving
• Experience in early-stage or 0-to-1 environments
• Experience with streaming pipelines such as Kafka or Kinesis
• Exposure to ML/AI data pipelines, data analytics, or data science concepts
• Familiarity with Ruby and Rails

What the job involves

• You'll be our Senior Data Engineer, reporting to engineering leadership and taking ownership of a data platform that is still in its early stages
• This is a high-ownership, build-from-the-foundation seat: you'll shape the architecture, stand up reliable pipelines and trusted data models, and set the engineering standards that let our data scale with the company
• If you want real ownership over foundational infrastructure at a profitable, fast-growing company, rather than maintaining someone else's system at a larger one, this is that role
• Platform & Architecture:
• Design and scale our data platform across pipelines, models, and orchestration
• Define and implement systems for data ingestion, storage, processing, and transformation
• Optimize systems for performance, scalability, and cost from the start
• Pipelines & Engineering Practices:
• Build scalable ETL/ELT pipelines that ingest from APIs, databases, and event streams
• Apply software engineering principles such as testing, CI/CD, and modular design to data infrastructure
• Establish best practices for data modeling, testing, and quality
• Data Enablement & Partnership:
• Build the semantic layer and dashboards that make data usable across the company
• Partner with engineering, product, and business teams to shape data requirements
• Enable trusted, accessible data for BI and analytics decision-making

Benefits

• Competitive salary: We offer a competitive salary as part of a comprehensive benefit package including a 401k
• Equity: We're doubling year over year. This means if we keep executing, the company (and your equity) will be worth a lot
• Health insurance: 100% coverage of employee health & dental insurance plans and 50% for dependents
• Paid time off: Generous PTO policy, including parental leave, so you can rest and recharge
• Office setup: Company laptop + $500 to set up your home workstation
• Investment in you: We help fund your professional development by providing coaching and education
• Remote: The team is fully distributed (read: no office!)
• Extras!: In-person retreats, surprise food deliveries, and games to add zest to your work life