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Senior Data Engineer (Python
Remote / Online - Candidates ideally in
Columbus, Franklin County, Ohio, 43224, USA
Listed on 2026-08-02
Columbus, Franklin County, Ohio, 43224, USA
Listing for:
Proxify AB
Full Time, Per diem, Remote/Work from Home
position Listed on 2026-08-02
Job specializations:
-
Software Development
SQL Developer, Python, Data Engineering, AWS
Job Description & How to Apply Below
Headquarters:
Sweden URL: (Use the "Apply for this Job" box below)..io
The Role:
We are looking for a Senior Data Engineer to architect and scale the data foundations for one of our high‑growth client products.
The ideal candidate is a Python expert who treats data infrastructure as software, implementing CI/CD, unit testing, and observability into every layer of the modern data stack.
You are a perfect candidate if you are growth‑oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.
What we’re looking for:- 5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask).
- Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses.
- Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing.
- Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs.
- Hands‑on experience with Snowflake, Big Query, or AWS Redshift.
- Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0.
- Experience with Git, Docker, and implementing CI/CD for data pipelines.
- Experience building Real‑time Pipelines using Kafka or Flink.
- Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo).
- Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications.
- Infrastructure as Code (Terraform) experience.
- Build and maintain scalable, automated ELT/ETL pipelines that provide a 'single source of truth' for the organization.
- Implement rigorous automated testing and monitoring to ensure data integrity and reliability.
- Optimize warehouse storage and compute costs while reducing pipeline latency.
- Partner with Data Scientists and Product Managers to translate business requirements into technical data models.
- Promote a 'Data Ops' culture within the team, conducting code reviews and sharing best practices.
- Get paid, not played
- No more unreliable clients.
- Enjoy on‑time monthly payments with flexible withdrawal options.
- Predictable project hours
- Enjoy a harmonious work‑life balance with consistent 8‑hour working days with clients.
- Flex days, so you can recharge
- Enjoy up to 24 flex days off per year without losing pay, for full‑time positions found through Proxify.
- Career‑accelerating positions at cutting‑edge companies
- Discover exclusive long‑term remote positions at the world's most exciting companies.
- Hand‑picked opportunities just for you
- Skip the typical recruitment roadblocks and biases with personally matched positions.
- One seamless process, multiple opportunities
- A one‑time contracting process for endless opportunities, with no extra assessments.
- Compensation
- Enjoy the same pay, every month with positions landed through Proxify.
Position Requirements
10+ Years
work experience
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