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Sr. Data Engineer

9 hours, 37 minutes ago
United States
Full-time
Senior
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
51-200
$35M raised
View All Jobs 3

Description

  • Build and maintain ingestion and transformation pipelines using Dagster or Airflow, dbt, Snowflake, Python, Airbyte, and AWS.
  • Own critical daily Postgres-to-Snowflake-to-dbt data flows and third-party API loads.
  • Develop and debug Python ETL pipelines for API syncs, large Postgres extracts, Parquet loads, and Snowflake COPY operations.
  • Create and update Dagster jobs, assets, schedules, sensors, dbt models, tests, and documentation through reviewed pull requests.
  • Configure and troubleshoot Airbyte connections for managed data synchronization.
  • Monitor production pipeline runs and investigate failures involving IAM, memory limits, Spot instances, and watermarks.
  • Run backfills and incremental catch-ups, documenting what data was loaded and why.
  • Partner with analytics and product teams on dimensional models, incremental strategies, and data quality.
  • Write occasional Terraform changes for secrets, environment variables, and job sizing.
  • Participate in code reviews, release preparation, and runbook creation to support shared pipeline operations.

Requirements

  • Hands-on experience with Dagster or Airflow orchestration beyond scheduling SQL jobs.
  • Experience building and maintaining dbt models, tests, and documentation.
  • Strong understanding of relational databases, warehouse design, keys, grain, normalization, star schemas, and slowly changing dimensions.
  • Ability to design full-refresh and incremental loads with attention to idempotency, backfills, and data consistency.
  • Experience writing and maintaining Python data pipelines at scale across extract, transform, and load workflows.
  • Working knowledge of AWS S3, IAM, and ECS/Fargate for debugging data jobs.
  • Experience with Airbyte or similar extract-and-load tools.
  • Ability to build and troubleshoot REST/API syncs, Postgres extracts, Parquet loads, and Snowflake COPY operations.
  • Strong pull-request and code-review practices, including scoped changes, testing, and failure-mode analysis.
  • Authorization to work in the United States without current or future PadSplit visa sponsorship.

Benefits

  • Fully remote work environment.
  • Competitive compensation with an equity incentive plan and company-wide bonus opportunity.
  • Medical, dental, and vision health plans.
  • Company-provided life insurance, with optional accident insurance, FSA, and DCFSA benefits.
  • Unlimited PTO plus 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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