Remote Data Engineer

PadSplit is growing its analytics platform and needs a hands-on Data Engineer to work alongside our existing DE lead. This person will build and maintain ingestion and transformation pipelines across Dagster (or Airflow), dbt, and Snowflake, with supporting work in Python, Airbyte, and AWS. The role combines building new pipelines and data models with providing real coverage on critical paths — especially the daily Postgres → Snowflake → dbt flow and third-party API loads — all shipped through reviewed pull requests rather than one-off scripts. Theyre comfortable in complex Python data flows and have enough AWS literacy to reason about task roles, buckets, and cross-account access without needing to own all of platform engineering. PR-driven shipping: Opening and merging pull requests for new or updated Dagster jobs, assets, schedules, and sensors, plus dbt models, tests, and documentation. Writing occasional Terraform for secrets, environment variables, or job sizing when a pipeline needs it. Pipeline implementation: Building and debugging Python pipelines covering REST/API syncs, large Postgres extracts, Parquet loads, and Snowflake COPY operations. Production monitoring: Modeling partnership: Working with analytics and product on dim/fct/x_fct design, incremental strategies, and data quality. Participating in code review, release prep, and writing short runbooks so others can operate your pipelines when youre out. Solid grasp of relational databases and warehouse patterns — keys, grain, normalization vs. Practical, hands-on Dagster (or Airflow) experience — not just writing SQL inside a scheduler UI. 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: A track record of keeping pipelines healthy and modeling consistent across full refresh and incremental paths, without becoming a single point of failure. Your application will be reviewed for possible next steps by a real human being from the PeopleOps team. If you meet eligibility requirements, the next step would be a video interview with a member of the PeopleOps team for about thirty (30) minutes. If warranted, the next step would be a video interview with our Principal Data Scientist for forty-five (45) minutes. If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for one and a half (1.5) hours. If warranted, the next and final step would be a video interview with a key leader in the company for thirty (30) minutes. Fully remote position
- we swear ~ Competitive compensation package including an equity incentive plan and company-wide bonus opportunity ~ National medical, dental, and vision healthcare plans ~ Company provided life insurance policy ~ Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays ~The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis $In addition to salary, there is a variable compensation component based on performance. Although the job posting says its in Atlanta, Georgia, this is a fully remote position. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.   All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.