Data Engineer

Data Engineer

Location: Hunt Valley United States

Employment Type Contract To Hire

Job Description:

Location Hunt Valley, MD 21031 Date Posted September 03, 2026 Job ID 15462 Employment Type Contract To Hire

Scion Technology has been engaged to conduct a search for a knowledgeable Data Engineer for our client, an employee-owned environmental consulting and engineering firm. This is a contract to hire position based out of Hunt Valley, Maryland. This role offers remote flexibility anywhere in the US.

POSITION OVERVIEW

The Data Engineer role requires a blend of data engineering expertise, platform architecture knowledge, business analysis capability, and disciplined engineering practices. The platform work includes data ingestion, lakehouse architecture, medallion data design, semantic modeling, data quality, and long-term platform support and expansion.

PERKS

• Become the internal technical owner of a new Microsoft Fabric and OneLake environment that will serve as a critical enterprise data platform for the organization.
• Work directly alongside AI development resources to create the data infrastructure that will enable the organization's next generation of AI and automation initiatives.
• Partner with experienced consultants during the initial implementation, giving you the opportunity to learn the environment from the ground up before taking long-term ownership.
• Work remotely from anywhere in the U.S. with limited travel while joining an established organization where you'll have significant autonomy, visibility, and opportunities to expand your technical expertise.

RESPONSIBILITIES

• Serve as the long-term technical owner and subject matter expert for Microsoft Fabric and OneLake.
• Partner with a third-party implementation team to design, build, and deploy a new unified enterprise data platform.
• Develop and maintain scalable data pipelines that bring information from disparate systems and sources into the centralized data environment.
• Help define how data is ingested, transformed, structured, stored, and made accessible to teams across the organization.
• Build and maintain reliable ETL/ELT processes and data integrations.
• Monitor and optimize data pipelines and platform performance, troubleshooting issues as they arise.
• Work closely with application, SQL, AI, and Power Platform developers to understand data requirements and deliver effective solutions.
• Partner with internal AI development resources to make enterprise data available for emerging generative AI and automation initiatives.
• Support and evolve established data governance, quality, security, and documentation standards.
• Evaluate new capabilities within the Microsoft data ecosystem and recommend opportunities to improve the platform.
• Serve as a trusted technical resource for questions related to the unified data environment.

QUALIFICATIONS

• 4+ years of professional Data Engineering experience, with the ability to independently own technical projects and solve complex data challenges.
• Hands-on experience within the Microsoft Azure data ecosystem.
• Experience with Microsoft Fabric and/or OneLake strongly preferred.
• Strong SQL skills and experience working with relational and enterprise data sources.
• Experience designing, developing, and maintaining ETL/ELT pipelines and data integrations.
• Experience within environmental consulting, architecture, engineering, construction (AEC), utilities, government contracting, or a related professional-services environment.
• Understanding of modern data warehouse, data lake, and/or lakehouse architectures.
• Experience integrating data from multiple applications, databases, APIs, or enterprise systems.
• Ability to troubleshoot data quality, pipeline, integration, and performance issues.
• Familiarity with data governance, security, access management, lineage, and data quality principles.
• Ability to work effectively with both technical and nontechnical stakeholders.
• Strong problem-solving skills with the curiosity and initiative to learn new technologies.
• Comfortable working in an environment where you can wear multiple hats and take meaningful ownership of solutions.

COMPENSATION & BENEFITS

This contract to hire position offers a rate of $55-60/HR. They offer a robust benefits package that includes comprehensive medical, dental, and vision coverage, along with additional perks.

ABOUT OUR FIRM

Scion Staffing is a national award-winning staffing firm! Since 2006, we have had the pleasure of successfully placing thousands of talented professionals with amazing career opportunities. Through our innovative team building and recruiting solutions, we bridge the gap in executive leadership searches, direct hire recruiting, interim leadership placement, and temporary professional staffing. We are proud to be part of the Forbes lists of the Best Recruitment Firms and the Best Executive Search Firms in America. Additionally, Scion has been recognized as a ClearlyRated Best of Staffing firm as well as a top recruitment firm by The Business Times. Additional information about our firm can also be found online.

Scion Staffing, Inc. is an equal opportunity employer and service provider and does not discriminate based on race, religion, gender, gender identity, national origin, citizenship status, sexual orientation, disability, political affiliation or belief, or any other protected class. We are committed to the principles of Equal Opportunity Employment and are dedicated to making employment decisions based on merit and value, for ourselves, our client companies, and the candidates we represent. For opportunities located in a region that have enacted fair chance, arrest or conviction-based employment ordinances, Scion Staffing proactively follows the enacted guidance and considers for employment all qualified applications with arrest and conviction records. We engage in socially conscious business practices and believe that diverse, inclusive, and non-biased talent and recruitment processes are foundational to the success of Scion as well as every client organization with whom we partner.