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Senior Data Engineer (Python

Remote / Online - Candidates ideally in
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
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Engineer (Python)

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.
Nice‑to‑Have:
  • 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.
Responsibilities:
  • 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.
What we offer:
  • 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.
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Position Requirements
10+ Years work experience
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