Wakefield, MA

Data Jobs in Wakefield, MA

3 jobs found

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Today

Junior Data Engineer

Sentinel Group Wakefield, MA

Wakefield, MA

Today

$85k - $93k/yr Full time Data Data Analysis Data Analytics

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Job Description

Sentinel Group is building reliable data pipelines and data services that support reporting and analytics across the organization. In this Junior Data Engineer role in Wakefield, MA, you will help the development team create and improve batch ETL/ELT workflows, strengthen data quality, and support releases alongside senior engineers.

What you’ll do

Collaborate with Business Analysts, Data Analysts, Software Engineers, and peers to understand requirements and deliver data solutions.
Build, maintain, and enhance batch data pipelines and ETL/ELT workflows under guidance from senior engineers.
Use SQL and scripts to extract, transform, validate, and load data from APIs, databases, files, and other sources.
Help design and maintain datasets, tables, views, and data models for downstream applications, reporting, and analytics.
Implement data quality checks, reconciliation steps, logging, and monitoring to keep data accurate, complete, timely, and available.
Troubleshoot pipeline and data issues, communicate blockers clearly, and escalate risks with useful diagnostic information.
Support modernization of legacy data processes by moving toward secure, automated, cloud-based solutions aligned with the team’s CI practices.
Participate in code reviews, automated tests, build pipelines, documentation, and runbooks to strengthen development and data operations.
Support safe releases, backfills, and reprocessing by validating results and documenting changes.

Requirements

Commitment to building secure, maintainable, testable, and observable data systems.
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 scripting language used for data engineering.
Understanding of how data quality, lineage, documentation, and governance support 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 formats and integrations such as 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.
Ability to work in a hybrid environment, with one day in the office.
Authorized to work in the US without current or future sponsorship.

Technologies

SQL, Python, CSV, JSON, REST APIs, AWS, Git

Location & work model

This is a hybrid role based in Sentinel Group’s Wakefield, MA office, with in-office time one day per week, plus additional in-person trainings and workshops as needed.

Benefits

PTO (vacation, sick, personal time bank)
FTO after 2 years of service for vacation, sick, and personal time
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

Salary

The salary range for this position is $85,000-$93,000 USD per year. Compensation is calibrated to geographic location, so the posted range may vary based on where you live.

Nice to have

Experience with git, build pipelines, auth, and frontend testing.

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1d ago

Data Engineer

Sentinel Group Wakefield, MA

Wakefield, MA

1d ago

$106k - $113k/yr Full time Data Data Analysis Data Analytics

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Job Description

Sentinel Group is seeking a Data Engineer to design, build, and maintain secure, scalable data pipelines and platforms. The role covers end-to-end ownership across architecture, modeling, validation, troubleshooting, and production releases.

Key Responsibilities

Lead the design, development, and ongoing evolution of end-to-end data pipelines, integrations, data models, and platform capabilities.
Own production data systems, including availability, monitoring, incident response, root-cause analysis, and continuous improvement.
Create and maintain a long-term vision for the data landscape.
Convert business and technical requirements into clear architecture, implementation plans, and incremental deliverables.
Design and implement scalable ETL/ELT workflows that ingest, transform, validate, and deliver data from APIs, databases, files, and other systems.
Define and improve standards for data quality, testing, documentation, lineage, observability, security, governance, and access control.
Review architecture, technical designs, pull requests, and operational changes to reduce risk and improve maintainability and performance.
Modernize legacy data processes, supporting the transition to secure, automated, cloud-based solutions aligned with Sentinel’s CI.
Diagnose complex issues across data, pipelines, performance, and reliability, driving immediate mitigation and durable prevention.
Optimize queries, storage, processing, and infrastructure for performance, scalability, and cost efficiency.
Collaborate with Business Analysts, Data Analysts, Software Engineers, Product Owners, Security, Infrastructure, and other stakeholders to deliver trusted data solutions.
Mentor junior and mid-level engineers through pairing, code reviews, technical guidance, documentation, and knowledge sharing.
Evaluate emerging technologies and recommend options that support Sentinel’s long-term data and engineering strategy.

Required Qualifications

Advanced SQL skills and strong programming experience with Python or another language used for data engineering.
Deep understanding of data modeling, data warehousing, data lakes, ETL/ELT, and workflow orchestration.
Experience designing cloud-based solutions, preferably using AWS and its data services.
Strong judgment balancing scalability, reliability, performance, security, delivery speed, and cost.
A quality and reliability mindset focused on data accuracy, lineage, monitoring, and operational readiness.
Ability to communicate complex technical concepts clearly and build consensus across teams.
Mentoring mindset and willingness to strengthen engineering practices across Sentinel.
Interest in how AI can responsibly improve engineering productivity, data quality, testing, and operational support while protecting sensitive information.
Commitment to building secure, maintainable, testable, observable, and cost-effective data systems.
Demonstrated expertise designing and operating production-grade data pipelines and data platforms, including designing, building, deploying, and supporting production pipelines.
Advanced SQL capabilities, including complex joins, transformations, performance tuning, and data validation.
Strong understanding of data modeling, relational databases, analytical warehouses, data lakes, and dimensional modeling.
Experience with AWS or another major cloud platform, including cloud storage, compute, networking, monitoring, and access-control concepts.
Experience implementing data quality checks, automated testing, observability, logging, alerting, and operational runbooks.
Experience with Git, pull requests, CI/CD, infrastructure as code, and modern software development practices.
Experience working with sensitive, confidential, regulated, or financial data while applying appropriate security controls.
Ability to work in a hybrid environment, with one day in the office.
Authorized to work in the US without current or future sponsorship.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related field, or equivalent experience.
4+ years of professional experience in data engineering, data platform engineering, software engineering, or a related role.

Technologies

SQL
Python
AWS
Git
CI/CD
Infrastructure as code
ETL/ELT

Location and Compensation

Location: Wakefield, MA (hybrid; one day in the office).

Compensation: USD 106,000 - 113,000 per year.

Experience: 4+ years.

Benefits

PTO (vacation, sick, personal time bank)
FTO after 2 years of service (Flexible time off for vacation, sick and personal time)
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

Nice to Have

Experience with Snowflake or another modern data platform.
Experience with streaming or event-driven systems.
Experience with Docker, Kubernetes, Terraform, CloudFormation, or similar technologies.
Experience leading data-platform migrations or replacing legacy ETL processes.
Experience with data contracts, metadata management, data catalogs, and lineage platforms.
Experience supporting machine-learning, AI, semantic-layer, or feature-engineering use cases.
Cloud or data-engineering certifications.
Experience participating in technical interviews and contributing to hiring decisions.

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2mo ago

AI Engineer

Eastern Bank Wakefield, MA

Wakefield, MA

2mo ago Closed

$72k - $110k/yr Full time Ai Automation Artificial Intelligence Automation

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Easter n Bank, Wakefield, MA (onsite), seeks a junior to mid-level AI Engineer with a salary range of USD 72,214 to 110,000 per year.

Responsibilities

Design, implement, and sustain AI agents and automated workflows across the bank using Claude, Microsoft Copilot, Azure AI Services, Power Platform, and SharePoint.
Develop scalable retrieval-augmented generation (RAG) pipelines and robust prompt-engineering architectures.
Prototype and productionize AI solutions to streamline day-to-day operations across the organization.
Collaborate with cross-functional teams to map business processes, identify pain points, and uncover automation opportunities.
Translate business requirements into clear technical specifications and solution designs.
Act as a trusted technical advisor for embedded AI initiatives across business divisions.
Develop and optimize retrieval systems, prompt architectures, and agent workflows to improve accuracy and effectiveness.
Evaluate AI solutions using user feedback, performance metrics, and business outcomes to drive improvements.
Assist in establishing governance for enterprise AI tools, including access management, usage policies, and documentation.
Promote responsible AI practices with emphasis on data privacy, security, and regulatory compliance.
Support administration and enablement of AI platforms across the organization.

Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
1-4 years of experience in software engineering, data engineering, machine learning, or a related technical role.
Hands-on experience with large language models (LLMs) and enterprise cloud or collaboration platforms.
Hands-on experience with AI and LLM platforms such as Claude, OpenAI, Gemini, or equivalents.
Experience with prompt engineering, AI agents, and agent frameworks.
Familiarity with Microsoft technologies including Azure, Copilot, Power Platform, and Microsoft 365 development or administration tools.
Experience building integrations via APIs, Model Context Protocol (MCP), data pipelines, and related integrations.
Understanding of AI governance, responsible AI practices, and enterprise AI administration.
Strong analytical and problem-solving abilities, with excellent verbal and written communication.
Ability to translate complex technical concepts into clear business solutions.
Proven ability to work independently while collaborating across multiple teams.
Experience in financial services or other regulated industries is a plus.

Technologies

Claude
Microsoft Copilot
Azure AI Services
Power Platform
SharePoint
OpenAI
Gemini
Azure
Microsoft 365 development tools
Model Context Protocol (MCP)

Benefits

Total Rewards benefits program
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Retirement plan
Paid vacation
Tuition reimbursement

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Data Jobs in Wakefield, MA

Junior Data Engineer

Data Engineer

AI Engineer

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