Senior Data Engineer

Remote (United States)

Compensation

Base salary range: $170,000 - $190,000 per year.

Additional compensation: Equity.

Final compensation is determined based on experience, skills, scope of responsibility, interview performance, and work location within the United States.

Employment Type

Full-Time

About the Role

This opportunity is for a Senior Data Engineer to take ownership of an early-stage data platform and build foundational data infrastructure from the ground up. The role focuses on shaping architecture, creating reliable pipelines, building trusted data models, and establishing engineering standards that allow data systems to scale with the business.

This is a high-ownership role for someone who wants to build core infrastructure rather than maintain an already mature system. The position reports to engineering leadership and works across engineering, product, and business teams to make data more accessible, reliable, and actionable.

What You’ll Do

Platform & Architecture

• Design and scale the 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 beginning.

Pipelines & Engineering Practices

• Build scalable ETL and ELT pipelines that ingest data from APIs, databases, and event streams.
• Apply software engineering principles, including testing, CI/CD, and modular design, to data infrastructure.
• Establish best practices for data modeling, testing, and data quality.

Data Enablement & Partnership

• Build semantic layers and dashboards that make data accessible and useful across the organization.
• Partner with engineering, product, and business teams to define and refine data requirements.
• Enable trusted, reliable data for business intelligence, analytics, and informed decision-making.

Qualifications

• 5+ years of experience building production software, including at least 2 to 3 years focused on data engineering.
• Strong programming skills in Python.
• Advanced proficiency in SQL.
• Proven experience building ETL and ELT pipelines end to end, from ingestion through serving.
• Hands-on experience with a cloud platform such as AWS, GCP, or Azure.
• Hands-on experience with a modern data warehouse such as Snowflake, BigQuery, or Redshift.

Nice to Have

• Experience with workflow orchestration tools such as Airflow.
• Experience supporting BI tools such as Looker or Tableau.
• Experience building semantic layers and dashboards.
• Strong understanding of the full data lifecycle, including 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.

Benefits

• 100% covered health, dental, and vision insurance for employees.
• 50% covered health, dental, and vision insurance for dependents.
• Generous paid time off, including parental leave.
• 401(k).
• Company laptop.
• Home office stipend.
• Bi-annual company retreats.