Data Engineer

Job Title: Data Engineer II

Location: Windy Hill Road Area – Hybrid (3 days onsite, subject to change)

Full-time/Direct-hire role

Summary

Data Engineer II is a fully proficient, independent contributor responsible for designing, developing, and maintaining scalable and reliable data solutions within a modern enterprise data environment. This role supports both delivery and production support functions, including data engineering, design, and light data analysis. The position requires strong attention to detail, analytical thinking, and the ability to operate in a fast-paced, changing environment while maintaining accuracy and consistency.

Essential Duties and Responsibilities

Design, develop, and maintain moderately complex data pipelines, datasets, and integrations

Support both new development and production data issues in enterprise environments

Translate business requirements into scalable, supportable technical solutions

Optimize SQL queries, data models, and ETL processes for performance and reliability

Perform data validation to ensure accuracy across reporting and analytics outputs

Troubleshoot and resolve data and reporting issues end-to-end with minimal supervision

Support enterprise BI solutions, including dashboards, datasets, and semantic models

Contribute to data architecture standards, coding best practices, and documentation

Collaborate with cross-functional teams on reporting and analytics needs

Participate in peer code reviews and provide constructive feedback

Manage multiple priorities in a fast-paced environment with shifting demands

Other duties as assigned

Technical Environment

Candidates should have experience in or exposure to a modern enterprise data stack, including:

SQL Server

Oracle

Python

Microsoft Fabric

Power BI

SAP BI / Crystal Reports

Enterprise Data Warehouse / BI ecosystems

Hard Requirements

3–6 years of data engineering or related experience

Strong proficiency in SQL and relational databases

Experience building or supporting ETL/data integration pipelines

Understanding of dimensional modeling and BI/reporting dependencies

Hands-on experience with enterprise analytics environments (data pipelines, data warehouses, semantic models)

Experience supporting production reporting systems

Familiarity with DevOps concepts and version control

Strong analytical ability with some data analysis responsibilities

Excellent communication skills (written and verbal — must be client-ready)

Ability to multitask and adapt to changing priorities

Strong attention to detail and consistent execution

Bonus / Preferred Qualifications

Experience with the Microsoft Fabric ecosystem

Exposure to Power BI dataset modeling and refresh behavior

Experience in SAP BI or Crystal Reports environments

Experience in enterprise-scale BI or data warehouse environments

Exposure to agile / DevOps delivery environments

Education

Bachelor’s degree in Computer Science, Management Information Systems, or equivalent experience