Data Engineering Associate Consultant (Graduating Dec 2026 - Summer 2027)
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 our clients. You will enjoy working within a collaborative team environment to help define and deliver innovative, data-driven solutions to our clients. We attract creatively innovative, ethically insightful, driven, value conscious, caring, and passionate people who love what they do and bring that enthusiasm to projects. Our Data Engineers focus on building and implementing advanced data systems to deliver high quality data to drive business solutions. Utilizing engineering best practices to ingest and process data quickly and efficiently, our engineers look to build advanced systems that bring data together from disparate sources for businesses to use.
Requirements
- Graduating in December 2026 - Spring/Summer 2027 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
- Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Nice To Haves
- 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)
- Experience using AI to accelerate development of data engineering solutions
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
- Leverage AI to accelerate development and validation of data pipelines
Benefits
- Generous time off
- Health coverage
- Disability insurance
- Paid family leave
- Certification and tuition support
- Digital on-demand learning courses
- Mentorship
- Skill development paths
- Mental health and well-being platform
- Inclusive fertility and family-forming coverage
- Company paid stipend program for personalized lifestyle benefits
- Employee Resource Groups
- Opportunities to engage in partnerships and pro-bono projects
- 401(k) Matching
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
