Remote Senior Data Engineer (Python) — DataOps ELT

United States Digital Space LLC; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first opportunities

Flexible schedules

Job summary

Proxify is seeking a Senior Data Engineer to architect and scale data foundations for client products. The ideal candidate is a Python expert who treats data infrastructure as software, implementing CI/CD, unit testing, and observability across the stack.

You will build scalable ELT/ETL pipelines, optimize costs, and collaborate with Data Scientists and Product Managers to shape data models. This role emphasizes DataOps and hands-on modern data tools in a remote setting.

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 (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.

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

Pandas

PySpark

Dask

SQL

dbt

Airflow

Prefect

Dagster

Snowflake

BigQuery

AWS Redshift

Dimensional Modeling

Data Vault 2.0

Git

Docker

CI/CD

Tools

CI/CD tooling

Cloud data warehouses

Job description

Proxify is seeking a Senior Data Engineer to architect and scale data foundations for client products. The ideal candidate is a Python expert who treats data infrastructure as software, implementing CI/CD, unit testing, and observability across the stack.

You will build scalable ELT/ETL pipelines, optimize costs, and collaborate with Data Scientists and Product Managers to shape data models. This role emphasizes DataOps and hands-on modern data tools in a remote setting.