AI Data Engineer
New
D
DscoutUX Research Technology
Dscout is proud to support a remote-first workforce and enable employees to work from almost anywhere. At this time, however, we are unable to hire in the following locations: Montana, Hawaii, Alaska, and Washington DC.Full-TimeSenior
SalaryA strong and competitive compensation package with a built-in bonus and equity program.
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonGCPSnowflakeAirflowData engineeringPostgresData modeling
Requirements
- 5+ years of experience in data engineering, with meaningful exposure to ML systems in production.
- Deep data engineering experience building and owning pipelines that move data from application sources into a warehouse at scale.
- Strong Python skills.
- Fluency across the data stack, including Snowflake and Postgres.
- Experience with orchestration tools like Airflow, Dagster, or similar.
- Experience working with cloud computing environments like GCP or AWS.
- A track record of working closely with analytics engineers or data analysts to build reliable, well-documented data models.
- Hands-on experience shipping AI or ML systems that real users depended on in production.
- A high-agency mindset to drive ambiguous problems to a working outcome.
- Comfort using AI coding tools like Cursor, Claude Code, or Copilot.
Responsibilities
- Design, build, and own the data pipelines that move and transform data from our application and third-party sources into relational databases.
- Partner with analytics engineering to build the data models and reporting that give researchers and teams real visibility into how their work is performing.
- Own data quality as a first-class concern across ingestion, modeling, and reporting.
- Build and ship production AI systems—the data infrastructure and services that ML features run on.
- Design and own evaluation systems, including eval harnesses, test datasets, and production monitoring.
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