Data Engineer (Snowflake)

Location: Fully remote position in the United States; Atlanta, Georgia is listed for posting-system purposes only.

Company

hirify.global operates a platform focused on solving the affordable housing crisis.

What you will do

• Build and maintain Dagster or Airflow jobs, assets, schedules, sensors, dbt models, tests, and documentation through reviewed pull requests.
• Implement and debug Python pipelines for REST/API synchronization, large PostgreSQL extracts, Parquet loads, and Snowflake COPY operations.
• Configure and troubleshoot Airbyte connections and make occasional Terraform updates for secrets, environment variables, and job sizing.
• Monitor production runs and investigate failures involving IAM, out-of-memory conditions, Spot instances, and incorrect watermarks.
• Run backfills and incremental catch-ups while documenting data outcomes and rationale.
• Partner with analytics and product teams on dimensional modeling, incremental strategies, data quality, code reviews, and operational runbooks.

Requirements

• Strong understanding of relational databases, warehouse patterns, keys, grain, normalization, star schemas, and slowly changing dimensions.
• Hands-on experience with Dagster or Airflow and dbt models, tests, and documentation.
• Ability to write and maintain Python data pipelines operating at scale across extract, transform, and load stages.
• Practical working knowledge of AWS S3, IAM, and ECS/Fargate for job-level troubleshooting.
• Experience with Airbyte or similar extract-and-load tools, plus disciplined pull-request practices and rigorous code review.
• Ability to work fully remotely from the United States.

Culture & Benefits

• Fully remote work arrangement.
• Equity incentive plan and company-wide bonus opportunity.
• National medical, dental, and vision plans, plus company-provided life insurance.
• Optional accidental insurance, FSA, and DCFSA benefits.
• Unlimited paid time off, eleven company-observed holidays, and twelve weeks of paid leave for birth and non-birth parents.
• 401(k) plan.

Hiring process

• Application review by the PeopleOps team.
• Video interviews with PeopleOps, the Principal Data Scientist, key stakeholders, and a company leader.
• The process concludes with an offer when appropriate.