Lindy
Data Engineer
San Francisco · Exec
H1B sponsorship available$150k-$185kDetected 93 days ago
JavaScriptPythonSQLBigQuerySnowflakeMachine LearningdbtData AnalysisData EngineeringData ScienceData VisualizationStatisticsA/B TestingLeadershipCollaboration
About the role
- Lindy Assistant lives in iMessage, handles email, calendar, and meetings, and takes two minutes to set up.
- You'll also be in the driver's seat of our data infrastructure, iterating on Lindy's ETL pipelines, transformed tables, and other fundamental data engineering infrastructure.
- You'll be collaborating closely with Lindy's Head of Engineering and Director of Ops & Analytics in this capacity.
Responsibilities
- Design and implement scalable ETL pipelines that handle product analytics, customer usage data, and business metrics
- Build reliable data warehousing solutions that support both real-time and batch processing needs
- Create automated data quality monitoring and alerting systems
- Develop comprehensive dashboards and reporting systems that track key business and product metrics
- Identify opportunities to improve lagging metrics across customer acquisition, retention, product adoption, and revenue. Design and implement initiatives to address them
- Partner with product and engineering teams to instrument new features with proper analytics tracking
- Build self-service analytics capabilities that empower non-technical teams
- 2+ years of data engineering or data analytics experience (building production data pipelines and analytics infrastructure)
- The technical skills of a data-oriented engineer who can build and maintain data infrastructure
- The fun of working at a no-nonsense 30-person startup that just wants to build an amazing product and business
Requirements
- Expert-level SQL skills and experience with modern data warehouses (Snowflake, BigQuery, or similar)
- Hands-on experience with ETL tools (Fivetran, Airbyte, or custom solutions) and data transformation frameworks (dbt)
- Proficiency with BI tools (Tableau, Looker, or similar) and advanced spreadsheet analysis
- Track record of working independently and delivering high-impact projects with minimal oversight
Nice to have
- Experience with product analytics tools (PostHog, Mixpanel, Amplitude)
- Python/JavaScript proficiency for custom analysis and automation
- Previous experience at high-growth B2B SaaS companies
- Familiarity with AI/ML product metrics and experimentation
- $20K relocation assistance and visa sponsorship
- High autonomy and direct collaboration with leadership
Benefits
- Base Salary Range $150K-$185K + equity
- Comprehensive health coverage
- Collaborate closely with the founder/CEO, PMs, and engineering team to understand customer behavior, product performance, and business health
Visa & Work Authorization
- $20K relocation assistance and visa sponsorship
This listing is sourced directly from Lindy's careers page and normalized into a canonical job model.