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Data Engineer (Fully Remote)

10 hours, 42 minutes ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow AWS Dagster dbt PostgreSQL Python REST API Snowflake Terraform
Apply Now
PadSplit

PadSplit

PadSplit offers clean, modern furnished rooms for rent at an affordable weekly fee, including utilities, WiFi, laundry access, and 24/7 telemedicine service. They are disrupting the affordable housing industry by creating safe, attractive co-living env...

Family Services
51-250
$35M raised
View All Jobs 17

Description

  • Open and merge pull requests for Dagster jobs, assets, schedules, sensors, dbt models, tests, and documentation.
  • Build and debug Python pipelines for REST/API syncs, Postgres extracts, Parquet loads, and Snowflake COPY operations.
  • Configure and troubleshoot Airbyte connections for managed data synchronization.
  • Monitor production runs and investigate failures involving IAM, memory limits, Spot instances, or invalid watermarks.
  • Run backfills and incremental catch-ups while documenting data outcomes and rationale.
  • Partner with analytics and product teams on dimensional modeling, incremental strategies, and data quality.
  • Write occasional Terraform changes for secrets, environment variables, and job sizing.
  • Participate in code reviews, release preparation, and runbook documentation.

Requirements

  • Strong understanding of relational databases and warehouse patterns, including keys, grain, normalization, star schemas, and slowly changing dimensions.
  • Hands-on experience with Dagster or Airflow beyond writing SQL in a scheduler interface.
  • Professional experience building and maintaining dbt models, tests, and documentation.
  • Ability to write and troubleshoot Python data pipelines operating at scale.
  • Working knowledge of AWS S3, IAM, and ECS/Fargate for job troubleshooting.
  • Experience with Airbyte or a similar extract-and-load tool.
  • Ability to design full-refresh and incremental loads with reliable idempotency and backfill behavior.
  • Strong pull-request discipline, including writing reviewable changes and conducting rigorous code reviews.
  • Experience maintaining pipeline reliability and consistent data models without becoming a single point of failure.
  • Authorization to work in the United States and successful completion of the E-Verify process.

Benefits

  • Fully remote position.
  • Competitive compensation with equity incentives and a company-wide bonus opportunity.
  • Medical, dental, and vision insurance, plus company-provided life insurance.
  • Optional accident insurance, FSA, and DCFSA benefits.
  • Unlimited PTO and 11 company-observed holidays.
  • 401(k) plan.
  • 12 weeks of paid leave for birth and non-birth parents.

Interested in this position?

Apply directly on the company website

Apply Now

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