Senior Data Engineer (Python)

About us: Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂 Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives. Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success. 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, BigQuery, 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 "DataOps" 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.