Data Engineer

Dexian; Charlotte (NC); On-site; USD 100,000 - 140,000; Full time

Job summary

Dexian is seeking a highly skilled Data Engineer to join the Enterprise Data & Analytics Team, supporting mission critical data products that power analytics, data science, and operational decision making across Dexian.

This role is mid-to-senior level, offering hands-on development while influencing architecture, providing technical leadership, mentoring others, and expanding our advanced analytics capabilities.

Qualifications

• Bachelor’s degree in a relevant field.
• 5 to 10+ years: SQL Server/T-SQL, BI Warehouse / Lakehouse, C#, SSIS, ADF.
• 1 to 3 years: Microsoft Fabric, Python / PySpark, Medallion Data Architecture.
• Strongly preferred: Python / R for analytics, AI tools, Power BI.

Responsibilities

• Collaborate with business stakeholders on data solution requirements, gaps, and feasibility.
• Design, document, and implement clear technical solutions to meet business requirements.
• Develop and enhance data pipelines that consolidate complex datasets into unified, governed views.
• Build and maintain analytics infrastructure used by data analysts, data scientists, AI engineers, and business partners.
• Create scalable, maintainable software components using C#, Python, and other languages using VSCode.
• Build CI/CD pipelines using Git/version control workflows.
• Support test plan script development for performance, regression, and user acceptance testing as well as implement automated data quality checks, error handling, recovery processes, and replayability patterns.
• Build and maintain data models, data mappings, transformation rules, workflows, data extractions and imports, interfaces, and object models.
• Ensure data solutions comply with security protocols and data governance standards.
• Share expertise with team members, mentor junior engineers, and participate in peer reviews to uphold technical standards.

Skills

SQL Server

T-SQL

C#

Python

PySpark

BI Warehouse / Lakehouse

SSIS

ADF

Data Modeling

Data Pipelines

CI/CD

Git

PowerBI

AI Tools

Education

Bachelor’s Degree

Tools

SSIS

ADF

PowerBI

Git

Job description

Locations: Scottsdale, AZ | Atlanta, GA | Detroit, MI | Wayne, PA | Los Angeles, CA | Santa Clara, CA | San Francisco, CA | Boise, ID | Bloomington, MN | Nashville, TN | Denver, CO | Chicago, IL | Oak Brook, IL | Creve Coeur, MO | New York, NY | Austin, TX | Houston, TX | Plano, TX | Jacksonville, FL | Miami, FL | Ft Lauderdale, FL | Maitland, FL | Orlando, FL | Tampa, FL | Des Moines, IA | Cary, NC | Charlotte, NC | McLean, VA | Richmond, VA | Boston, MA | Woburn, MA | Portland, OR | Redmond, WA

Summary

We are seeking a highly skilled Data Engineer to join our Enterprise Data & Analytics Team, supporting mission critical data products that power analytics, data science, and operational decision making across Dexian.

This role is ideal for a mid-to-senior level Data Engineer who enjoys hands-on development while also influencing architecture, providing technical leadership, mentoring others, and expanding our advanced analytics capabilities. This is a great opportunity to help frame ambiguous problems, think in systems (not isolated outputs), and deliver reusable data products that scale.

You will design, build, test and maintain modern data engineering solutions contributing directly to our data modernization strategy. Take ownership of technical deliverables to ensure high-quality, reliable data solutions meet our business needs. You will also partner closely with business users across the organization to deliver high-quality, reliable data solutions.

Key Responsibilities

• Collaborate with business stakeholders on data solution requirements, gaps, and feasibility.
• Design, document, and implement clear technical solutions to meet business requirements.
• Develop and enhance data pipelines that consolidate complex datasets into unified, governed views.
• Build and maintain analytics infrastructure used by data analysts, data scientists, AI engineers, and business partners.
• Create scalable, maintainable software components using C#, Python, and other languages using VSCode.
• Build CI/CD pipelines using Git/version control workflows.
• Support test plan script development for performance, regression, and user acceptance testing as well as implement automated data quality checks, error handling, recovery processes, and replayability patterns.
• Build and maintain data models, data mappings, transformation rules, workflows, data extractions and imports, interfaces, and object models.
• Ensure data solutions comply with security protocols and data governance standards.
• Share expertise with team members, mentor junior engineers, and participate in peer reviews to uphold technical standards.

Required Education & Experience

Bachelor’s Degree

5 to 10+ years:

• SQL Server including T-SQL and relational modeling experience
• BI Warehouse / Lakehouse development
• C# or similar programming language
• SSIS, ADF

1 to 3 years:

• Microsoft Fabric
• Python / PySpark
• Medallion Data Architecture

Strongly Preferred:

• Experience with Statistical Analysis and Probability (Python, R)
• Experience using AI tools to increase productivity
• Microsoft PowerBI

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.