Data Engineer – AI-Driven Analytics & Pipelines

United States Digital Space LLC; Reynoldsburg (OH); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Employee referral bonus

Relocation assistance

Job summary

The PIIM Data Engineer role at United States Digital Space LLC supports a data-centric delivery model by designing, building, and maintaining the project's analytics data environment. You will develop scalable data pipelines, integrate data across systems, and create trusted datasets for reporting, automation, and AI capabilities.

This position requires strong SQL, data modeling, Python coding, and experience with data lakes, Power BI, and cloud platforms; collaboration with multiple teams is

Qualifications

• Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience.
• Strong SQL and data modeling experience in relational databases; ETL/ELT development; data pipeline construction.
• Experience with Python for data transformation; knowledge of data lake architectures; Power BI reporting experience.

Responsibilities

• Develop and maintain scalable data pipelines and workflows to ingest, transform, and provision data into the project analytics data lake.
• Collaborate with teams to onboard data sources, implement data governance, and optimize data models and performance.
• Support reporting platforms with performant datasets for Power BI and analytics tools; enable AI/ML data support.

Skills

SQL

Data modeling

ETL/ELT

Python

Power BI

Azure Databricks

Delta Lake

APIs & Data exchange

Data governance

Education

Bachelor's degree or international equivalent

Tools

Power BI

Azure Databricks

Delta Lake

Job description

The PIIM Data Engineer role at United States Digital Space LLC supports a data-centric delivery model by designing, building, and maintaining the project's analytics data environment. You will develop scalable data pipelines, integrate data across systems, and create trusted datasets for reporting, automation, and AI capabilities.

This position requires strong SQL, data modeling, Python coding, and experience with data lakes, Power BI, and cloud platforms; collaboration with multiple teams is