Remote Senior Data Engineer (Python) — ELT & DataOps Expert

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

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.