Junior Data Engineer

Sentinel Group is hiring a Junior Data Engineer to build, maintain, enhance, and integrate data pipelines, services, and connected systems. The role supports the data engineering lifecycle, helps deliver secure and reliable datasets, and provides business intelligence insights to business teams.

Responsibilities

• Work with Business Analysts, Data Analysts, Software Engineers, and peers to understand requirements and deliver data solutions you are proud of
• Build, maintain, and enhance batch data pipelines and ETL/ELT workflows under the guidance of senior engineers
• Write SQL and scripts to extract, transform, validate, and load data from APIs, databases, files, and other sources
• Help design and maintain well-defined datasets, tables, views, and data models for downstream applications, reporting, and analytics
• Implement data quality checks, reconciliation steps, logging, and monitoring to help ensure data is accurate, complete, timely, and available
• Troubleshoot pipeline and data issues, communicate blockers clearly, and escalate risks with useful diagnostic information
• Help modernize legacy data processes and move them toward secure, automated, cloud-based solutions that follow our CI
• Contribute to code reviews, automated tests, build pipelines, documentation, runbooks, and other practices that strengthen our development and data operations
• Support safe releases, backfills, and reprocessing by validating results and documenting changes

Skills

• A commitment to building secure, maintainable, testable, and observable data systems
• A growth mindset and willingness to learn from experienced engineers, analysts, and business partners
• Foundational programming skills for data processing, automation, and integration work
• Working knowledge of SQL, relational databases, and data transformation concepts
• Familiarity with Python or another programming language used for scripting and data engineering
• An understanding of how data quality, lineage, documentation, and governance contribute to trusted data
• Curiosity about how AI can responsibly improve engineering productivity, testing, documentation, and data quality
• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related field—or equivalent experience
• Academic, internship, project, or professional experience working with SQL, Python, databases, data analysis, or software development
• Understanding of relational database concepts, data modeling fundamentals, and common ETL/ELT patterns
• Experience or coursework using SQL to query, join, aggregate, and validate data
• Familiarity with structured data formats and integrations, including CSV, JSON, and REST APIs
• Foundational knowledge of AWS or another cloud platform, including storage, compute, and access-control concepts
• Familiarity with version control, pull requests, automated testing, and build or deployment pipelines
• Authorized to work in the US without current or future sponsorship
• Experience with git, build pipelines, auth, frontend testing

Benefits

• PTO (vacation, sick, personal time bank)
• FTO (Flexible time off for vacation, sick and personal time) after 2 years of service
• 12 Paid Holidays (10 stated and 2 floating holidays)
• 2 Community Volunteer Days
• 5 Summer Half Days
• Medical, Dental, Vision
• Life Insurance
• LTD & STD
• Retirement Plan with 4% Employer Match
• Parental Leave
• Hybrid role for our Wakefield, MA office (in-office one day per week, plus additional in-person trainings and workshops as needed).

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