Data Engineering Associate Consultant (Graduating Dec 2025 - Summer 2026)

CapTech Consulting • Richmond, VA

4h • Hybrid

About The Position

CapTech Data Engineering Associate Consultants are technology enthusiasts with a passion for solving complex business problems and implementing cutting-edge data solutions for clients. This role involves working within a collaborative team environment to help define and deliver innovative, data-driven solutions. CapTech fosters a culture that attracts creatively innovative, ethically insightful, driven, value-conscious, caring, and passionate individuals. New Associate Consultants gain practical, client-facing experience from the start, supported by a client-simulated 3-week boot camp, which kicks off a one-year Discovery Program designed to support the transition from college to CapTech. The company offers continuous learning opportunities, including workshops, cross-training, and social events, and promotes a coaching culture with mentorship from Subject Matter Experts. Data Engineers at CapTech focus on building and implementing advanced data systems to deliver high-quality data, utilizing engineering best practices to ingest and process data quickly and efficiently, bringing data together from disparate sources for business use.

Requirements

• Graduating in December 2025 - Spring/Summer 2026 with a bachelor’s or +1/accelerated masters degree in Information Systems, Data Analytics, Computer Science, or similar discipline
• Prior work, internship or classroom experience in business concepts and processes with the chance to work with specific tools
• Excellent oral and written communication skills, including the ability to collaborate with cross-functional teams and communicate AI concepts to non-technical colleagues
• Strong problem solving and troubleshooting ability
• Familiarity with data ingestion and transformation fundamentals
• Understanding of data analysis and data quality principles
• Experience developing data solutions using relational database management systems such as: SQL Server, MySQL, Redshift, Amazon RDS, etc.
• Fundamental proficiency in: Python, SQL or another scripting language to extract and manipulate data
• Familiar with version control systems such as GIT
• Familiarity with fundamental AI/ML concepts
• Understanding of data preparation for use with AI models
• Graduate students only considered if they went straight to grad school from undergrad and have no prior full-time work experience
• Applicants must be authorized to work directly for any employer in the United States without visa sponsorship

Nice To Haves

• Prior work/internships in a related technical field
• Working with one or more data transformation tools/products: Azure Data Factory, AWS Glue, Google Data Fusion
• Fundamental understanding of one or more cloud providers and storage solutions such as: AWS (S3), Google Cloud Platform and Storage, Azure (Blob Storage)
• Familiarity with entity relationship diagrams (ERD)

Responsibilities

• Build data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users
• Ingest, clean, and transform structured and unstructured datasets to solve data problems and deliver data solutions
• Design, develop, and implement data processing pipelines at scale

Benefits

• Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
• Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
• Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
• Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
• Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
• Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities
• 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level