Sr. Data Engineer
- Type
- Job
- Organization
- PadSplit
- Location
- USA
- Deadline
- Rolling or not stated
- Remote
- Yes
- Who can apply
- People living in United States
- Posted
- 30 October 2026
- Visa sponsorship
- The listing says no
- Skills mentioned
- Airflow, dbt, Snowflake, Python, AWS, PostgreSQL, Terraform, SQL
About this Opportunity
The Role We Need PadSplit is growing its analytics platform and needs a hands-on Sr. Data Engineer to work alongside our existing DE lead.
Eligibility
- Practical, hands-on Dagster (or Airflow) experience — not just writing SQL inside a scheduler UI. dbt proficiency: Real experience building and maintaining models, tests, and documentation in dbt.
- Python at scale: Comfort reading and writing Python that moves data at scale across extract, transform, and load steps.
- AWS working knowledge: Practical familiarity with S3, IAM, and ECS/Fargate at a "debug my job" level.
- EL tool familiarity: Experience with Airbyte or similar extract-and-load tools.
- PR discipline: The discipline to write pull requests others can easily review, and to give equally rigorous reviews in return.
- Reliability mindset: A track record of keeping pipelines healthy and modeling consistent across full refresh and incremental paths, without becoming a single point of failure
Documents you may need
- Updated CV / Resume
- Cover Letter (tailored to this role)
How to apply
- Click the "Apply — via Jobicy" button to go to the source page.
- Read the full description and confirm you meet the requirements.
- Prepare your CV and cover letter tailored to this role.
- Submit your application through the official portal.
- Follow up within 1–2 weeks if you do not hear back.