Data Engineer
RemotePosted July 28, 2026
About the role
Data Engineer (Remote) – United States
We are seeking a Data Engineer who can design, build, and maintain batch or real-time data pipelines in production. The candidate should have strong communication skills, a passion for solving business problems with data, and domain knowledge in Finance, Human Resources, and Customer Success. Hands-on experience with dbt, Snowflake, Airflow, and Fivetran, and a proven track record of driving best practices, building data models, and ETL loads is required.
Responsibilities
Qualifications:
- Design, build, and maintain batch or real-time data pipelines in production.
- Maintain and optimize the data infrastructure required to extract, transform, and load data from a wide variety of sources.
- Develop ETL processes to extract and manipulate data from multiple sources.
- Automate data workflows such as ingestion, aggregation, and ETL processing.
- Prepare raw data in data warehouses into consumable datasets for technical and non-technical stakeholders.
- Partner with data scientists and functional leaders in sales, marketing, and product to deploy machine learning models in production.
- Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (AWS, Azure, GCP).
- Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
- Monitor data systems performance and implement optimization strategies.
- Leverage data controls to maintain data privacy, security, compliance, and quality for owned areas.
- 3+ years of SQL skills and experience with relational da
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