Data Engineer: End-to-End Analytics & Power BI

SmartRecruiters, Inc.; Washington (District of Columbia); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Derex Technologies Inc in the DC metro area is seeking a data engineer who can own end-to-end analytics from ingestion to production reporting. You will build pipelines, design semantic data models, and develop Power BI reports that enable business stakeholders to act on insights.

The role emphasizes collaboration with stakeholders, data governance, and hands-on work with Azure Data Factory, Synapse, Databricks, and Snowflake, aiming for scalable, high‑quality analytics solutions.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/IS/Engineering.
• Eight years of professional data engineering or analytics experience.
• Significant Power BI experience including semantic modeling and performance tuning.
• Experience delivering end-to-end analytics from ingestion to production reporting.
• Experience with engaging business stakeholders to define reporting requirements.
• Must physically reside in the United States and be authorized to work in the United States.

Responsibilities

• Build and operate the pipelines behind the analytics.
• Design analytics data models, including dimensional models and slowly changing dimensions.
• Develop Power BI reports and dashboards that answer stakeholder questions.
• Administer the Power BI environment, including workspaces and deployment pipelines.
• Define and document metric definitions so numbers are consistent everywhere.

Skills

SQL

Power BI

Python

CI/CD

Stakeholder management

Data modeling

Data governance

Analytical mindset

Education

Bachelor's degree in CS/IS/Engineering

Tools

Azure Data Factory

Synapse

Databricks

Snowflake

Job description

Derex Technologies Inc in the DC metro area is seeking a data engineer who can own end-to-end analytics from ingestion to production reporting. You will build pipelines, design semantic data models, and develop Power BI reports that enable business stakeholders to act on insights.

The role emphasizes collaboration with stakeholders, data governance, and hands-on work with Azure Data Factory, Synapse, Databricks, and Snowflake, aiming for scalable, high‑quality analytics solutions.