Remote Data Engineer: Pipelines, Snowflake & dbt

PadSplit; Atlanta (GA); Remote; USD 150,000 - 165,000; Full time

Benefits offered by this job

Fully remote position

Equity incentive plan

Company-wide bonus opportunity

National medical, dental, and vision

Life insurance

FSA/DCFSA benefits

Unlimited PTO + 11 holidays

401(k) plan

12 weeks parental leave

Job summary

PadSplit is seeking a hands-on Data Engineer to expand our analytics platform. You will own ingestion and transformations across Dagster (or Airflow), dbt, and Snowflake, with Python, Airbyte, and AWS in play.

You’ll ship changes via PRs, build pipelines, and support critical data flows daily. You will collaborate on dim/fct design, maintain data quality, and ensure idempotent backfills with incremental loads, while reviewing runbooks and code.

Qualifications

• Solid grasp of relational databases and warehouse patterns (keys, grain, normalization, star schema).
• Hands-on Dagster or Airflow experience beyond SQL in schedulers.
• Real experience building dbt models, tests, and docs.
• Python that moves data at scale across ETL steps.
• AWS familiarity with S3, IAM, and ECS/Fargate at a debugging level.
• Experience with Airbyte or similar EL tools.

Responsibilities

• Open and merge PRs for Dagster jobs, dbt models, tests and docs.
• Write Terraform for secrets or environment vars when pipelines require it.
• Build and debug Python pipelines for REST/API syncs, large Postgres extracts, Parquet loads, Snowflake COPY.
• Configure or troubleshoot Airbyte connections where appropriate.
• Monitor production runs and investigate IAM, OOM, Spot issues, or data watermarks.
• Run backfills and incremental catch-ups with clear landing rationale.
• Collaborate on dim/fct/x_fct design and data quality with analytics/product teams.
• Participate in code reviews, release prep, and write runbooks.

Skills

Orchestration experience

dbt proficiency

Python at scale

AWS working knowledge

Airbyte familiarity

PR discipline

Reliability mindset

Warehouse fundamentals

Tools

Dagster

Airflow

Airbyte

Terraform

Snowflake

PostgreSQL

Job description

PadSplit is seeking a hands-on Data Engineer to expand our analytics platform. You will own ingestion and transformations across Dagster (or Airflow), dbt, and Snowflake, with Python, Airbyte, and AWS in play.

You’ll ship changes via PRs, build pipelines, and support critical data flows daily. You will collaborate on dim/fct design, maintain data quality, and ensure idempotent backfills with incremental loads, while reviewing runbooks and code.