Remote Senior Data Engineer - Python & ELT

United States Digital Space LLC; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Timely payments

Remote-friendly

Flexible withdrawal options

Work-life balance

Flexible days off

Job summary

United States Digital Space LLC is seeking a Senior Data Engineer to architect and scale data foundations for client products. You will build automated ELT/ETL pipelines, implement testing and observability, and partner with data scientists to model data for complex analyses.

Ideal candidates have 5+ years with Python and SQL, expertise in dbt and Airflow-like tools, and hands-on experience with modern cloud data warehouses.

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 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

Advanced SQL

Dimensional Modeling

Data Vault 2.0

CI/CD for data pipelines

Tools

dbt

Airflow/Prefect/Dagster

Snowflake/BigQuery/Redshift

Git

Docker

Job description

United States Digital Space LLC is seeking a Senior Data Engineer to architect and scale data foundations for client products. You will build automated ELT/ETL pipelines, implement testing and observability, and partner with data scientists to model data for complex analyses.

Ideal candidates have 5+ years with Python and SQL, expertise in dbt and Airflow-like tools, and hands-on experience with modern cloud data warehouses.