Senior Data Engineer, Azure Lakehouse (Remote)

Zenius; Virginia; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Paid holidays and PTO

Medical, vision, dental insurance

401K matching

Flexible Spending Account

Flexible schedules

Job summary

Zenius Corporation is seeking a Data Engineer to design, implement, and operate scalable data pipelines and lakehouse solutions on Microsoft Azure for Federal clients.

You will work in a Scrum team, collaborate with product owners and analysts, use Azure Synapse, ADLS Gen2, Functions, Logic Apps, and Power BI to deliver trusted data, maintain data quality, governance with Purview, and advance CI/CD practices.

Qualifications

• Bachelor's degree or higher in a related field.
• 5+ years data engineering experience; 3+ years with related advanced degree.
• Strong Python and SQL skills with reproducible transformations.
• Hands-on with Azure Synapse Analytics and ADLS Gen2.
• Production experience with Synapse / Data Factory, Functions, and Logic Apps.

Responsibilities

• Design and implement secure, scalable data pipelines in Azure.
• Engineer lake storage on ADLS Gen2 with Parquet/Iceberg.
• Establish data quality controls, profiling, and automated tests.
• Operationalize pipelines with CI/CD and run-time observability.
• Model and serve data for analytics/BI using Power BI.
• Document design decisions, lineage, and data contracts; use Purview.

Skills

Python (Pandas/PySpark)

SQL

Azure Synapse

Azure Data Factory

Git & CI/CD

Power BI

Data Lake Architecture

Education

Bachelor's degree

Tools

ADLS Gen2

Synapse Notebooks

Azure Functions

Logic Apps

Azure DevOps

Purview / governance tooling

Job description

Zenius Corporation is seeking a Data Engineer to design, implement, and operate scalable data pipelines and lakehouse solutions on Microsoft Azure for Federal clients.

You will work in a Scrum team, collaborate with product owners and analysts, use Azure Synapse, ADLS Gen2, Functions, Logic Apps, and Power BI to deliver trusted data, maintain data quality, governance with Purview, and advance CI/CD practices.