Senior Data Engineer
Remotesenior
Data EngineerData
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Quick Summary
Key Responsibilities
instrumentation and event tracking, data models for usage and adoption,
Technical Tools
Data EngineerData
Responsibilities
~1 min read- →Own data pipelines end to end - ingestion, transformation (dbt), warehousing (BigQuery), and delivery into reporting and BI (Omni)
- →Audit and map the existing data systems before rebuilding, then consolidate the stack toward a single source of truth
- →Build and maintain dbt models and transformation logic with tests, documentation, and clear contracts
- →Establish data quality, observability, and reliability practices so pipelines are maintained intentionally rather than reactively
- →Own product analytics: instrumentation and event tracking, data models for usage and adoption, and the metrics GTM and product teams rely on
- →Partner with GTM operations to consolidate reporting into a single tool and ensure we have the right data foundations for AI automation and tools.
- →Support research for external reports (e.g. the Engineering in the Age of AI benchmark report), partnering with marketing to source, validate, and pull the right data
- →Lay the groundwork for high-volume and streaming ingestion (e.g. telemetry / OpenTelemetry) as the product moves that way
Requirements
~1 min read- Bachelor's degree in Computer Science or related field, or equivalent practical experience
- 4+ years of hands-on data engineering experience building and owning production pipelines
- Proficiency with dbt, a cloud data warehouse (BigQuery or equivalent), and ETL/ELT tooling
- Strong SQL and proficiency in a general-purpose language (e.g. Python) for pipeline and transformation work
- Solid data modeling judgment with a focus on data quality, testing, and reliability
- A bias toward mapping and rationalizing a messy environment before adding to it
- Strong communication and collaboration skills, including with non-engineering stakeholders
- Fluent, critical use of AI in day-to-day engineering, reviewing AI output as carefully as a teammate's PR
- Experience with high-volume / streaming systems (ClickHouse, OpenTelemetry) or CDP / ETL tools (Segment, Hevo) is a plus
- Previous experience at a startup is a plus
What We Offer
~1 min read✓Starting Salary Range: $175,000.00 to $205,000.00
✓Competitive Equity Package
✓National medical, dental & vision insurance (we cover 100% for employees!)
✓Unlimited PTO & flexible working hours
✓401k plan
✓Gender-neutral parental leave
✓$1000 yearly Learning & Development stipend
✓$400 monthly perks stipend (use it on anything)
✓Pet Insurance
Location & Eligibility
Where is the job
Worldwide
Fully remote, anywhere in the world
Who can apply
US
About this job
- Pay per year
- $175,000–$205,000 a year
- 15% above the $165,000 median for Data Engineer jobs on Jobera (546 salaries).
- Who can apply
- United States
- Posted
- 69 days ago
Listing Details
- Posted
- August 7, 2026
- First seen
- August 7, 2026
- Last seen
- October 15, 2026
Posting Health
- Days active
- 68
- Repost count
- 0
- Trust Level
- 43%
- Scored at
- October 15, 2026
Signal breakdown
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