Remote Data Solutions Engineer for Analytics Pipelines

PowerSecure Brand; Durham (NC); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

PTO

Flexible spending accounts

Job summary

PowerSecure Brand is seeking a Data Engineer to design, build, and operate scalable data pipelines on our Azure data platform to enable trusted analytics and self-service BI.

You will work with BI developers, the data architect, and business stakeholders to ingest, model, and deliver high-quality data using Azure Data Factory, Databricks, and Delta Lake, including DLT and data quality enforcement.

Qualifications

• 2+ years of hands-on data engineering experience.
• 2+ years building pipelines on Azure and Databricks.
• Strong SQL and Python (PySpark) skills.
• Experience with Delta Lake and governance concepts.
• Ability to design analytics-ready data for BI.

Responsibilities

• Implement data quality checks and alerting.
• Build curated Delta tables for BI consumption.
• Manage CDC, schema drift, and partitioning strategies.
• Operate and monitor data pipelines; participate in on-call rotation.
• Collaborate with architects to enforce governance and security.

Skills

Cloud data engineering

SQL

Python (PySpark)

Databricks

Delta Lake

Data modeling

ETL/ELT

Azure Data Factory

CI/CD for data assets

Communication

Education

Bachelor's in MIS/CS/Engineering

Tools

Azure Databricks

Delta Live Tables

Azure Data Factory

ADLS Gen2

Power BI

Job description

PowerSecure Brand is seeking a Data Engineer to design, build, and operate scalable data pipelines on our Azure data platform to enable trusted analytics and self-service BI.

You will work with BI developers, the data architect, and business stakeholders to ingest, model, and deliver high-quality data using Azure Data Factory, Databricks, and Delta Lake, including DLT and data quality enforcement.