Senior Data Engineer (Python)

Proxify; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Predictable monthly payments

Flexible withdrawal options

Remote-first culture

Career growth in cutting-edge teams

Job summary

Proxify is seeking a Senior Data Engineer to architect and scale data foundations for a high-growth client product. The ideal candidate writes Python-based data infrastructure as code, implements CI/CD, and ensures observability across the modern data stack.

The role emphasizes growth mindset, hands-on data engineering, and collaboration with data scientists and product managers to deliver reliable ELT/ETL solutions and thoughtful data models.

Qualifications

• 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 for managing 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.

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.

Skills

Python

SQL

dbt

Airflow

Snowflake

BigQuery

Redshift

Dimensional Modeling

Git

Docker

CI/CD

Tools

DBT

Airflow

Dagster

Prefect

Snowflake

BigQuery

Redshift

Job description

About us

Talent has no borders. the company'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, the company's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust the company and its network to fulfill their dreams and objectives. the company 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 the company


• 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 the company