* Role: Data Engineer
* Location: Remote
* Employment Type: Full-time
Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $105,000 – $170,000 (USD equivalent), plus benefits.
Role Overview
We are hiring a Data Engineer to build the pipelines and infrastructure that power analytics, machine learning, and product features. The role designs systems that move data reliably at scale and make it usable for everyone who depends on it.
Key Responsibilities
- Design, build, and maintain ETL/ELT pipelines moving data into the warehouse
- Model and document datasets that downstream teams can trust
- Maintain the data warehouse and orchestration tooling
- Partner with analytics and ML teams on data needs
- Monitor pipeline health and resolve production issues
- Improve data quality, lineage, and governance over time
Required Skills and Qualifications
- 3+ years in a data engineering role
- Strong SQL and Python skills
- Experience with modern warehouses (Snowflake, BigQuery, Redshift, Databricks)
- Experience with orchestration tools (Airflow, Dagster, Prefect, dbt)
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Comfort with data modeling, dimensional design, and performance tuning
What You'll Bring
- Curiosity to dig into systems and turn findings into shipped improvements
- Strong written communication and ability to explain technical decisions
- A test-and-learn mindset; you ship fast, measure, and iterate
- Comfort working asynchronously across time zones
What We Offer
- Fully remote, flexible work hours
- Performance-based bonus structure
- Annual learning & development stipend
- Health and wellness benefits (varies by location)
- Opportunity to work on high-scale, real-world impact projects
Equal Opportunity Statement
This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.