Data Engineer

Overview

Come join our data practice as a Data Engineer supporting our client, a leader in the mortgage industry. The successful candidate will support the client's complex data delivery & cloud solutions. This Multifamily team is developing a MF Data Verse for downstream consumers in a manner aligned with the Data Modernization Principles and Enterprise Data Strategy, including building a MF Data Verse, modernizing data-producing EUCs, modernizing data governance tools & execution and consumer adoption.

Join our team at the client location in Mclean, VA.
Client requires 5 days onsite at the client location.

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Cadmus provides government, commercial, and other private organizations worldwide with technology-empowered advisory and implementation services. We help our clients achieve their goals and drive lasting, impactful change by leveraging transformative digital solutions and unparalleled expertise across domains.

At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. As a member of our team, you'll collaborate with leading experts to support our clients across the globe. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth.

Join Cadmus. Together, we are strengthening society and the natural world. For more information, visit

• Design, build, and optimize scalable data pipelines using Apache Spark (PySpark) and Python to process large-scale datasets
• Develop and tune complex SQL queries and perform data analysis to ensure data quality, integrity, and performance
• Design and maintain efficient data models and schemas to support analytics and reporting need
• Work extensively with Parquet source file formats and implement end-to-end ingestion workflows
• Integrate and manage data workflows using the Snowflake Connector (Python/Spark) and Control‑M for job orchestration and monitoring
• Optimize distributed workloads for performance, scalability, and cost efficiency
• Collaborate with stakeholders and data producers to gather requirements, support UAT, and deliver reliable data solutions
• Required: Experience with AWS or other cloud platforms in building and operating data solutions

Required:

• BS or MS in Computer Science or related technical field
• 7+ years of development experience in Python, Apache Spark
• 7+ years of experience working with SQL based data stores
• 5+ years of experience working on a cloud platform (AWS, Azure)
• 5+ years of experience working with a scalable data warehouse
• 3+ years of experience working with Parquet files
• 2+ years of experience working with Snowflake

• Interpersonal skills and ability to interact and work with stakeholders and other senior engineers
• Excellent written and verbal communication skills
• Ability to work independently and in a team environment
• Ability to pay attention to details and be organized
• Ability to project professionalism over the phone and in person
• Ability to handle multiple tasks in a fast‑paced environment
• Willingness to take initiative and to follow through on projects
• Excellent time management skills, with the ability to prioritize and multi‑task, and work under shifting deadlines in a fast‑paced environment
• Must have legal right to work in the U.S.
• Familiarity with Mortgage industry is a plus

Candidates must be eligible to work in the United States as a U.S. Permanent Resident or U.S. Citizen.

Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.

The minimum starting salary for this position is $100,000. The actual salary may be higher and will be determined by several…