Wakefield, MA

Engineer Jobs in Wakefield, MA

4 jobs found

Include remote jobs

25d ago

Senior Network Security Engineer

Odyssey Systems Consulting Group, Ltd. Wakefield, MA

Wakefield, MA

25d ago

$160k - $165k/yr Full time Senior Cybersecurity Tools Incident Response

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Job Description

Odyssey Systems Consulting Group, Ltd. is seeking a Senior Network Security Engineer to lead secure enterprise network design, implementation, and governance across on-premises, cloud, and hybrid environments.

Responsibilities

Architect, implement, and maintain secure network infrastructures aligned to enterprise expectations and CMMC Level 2 requirements
Design and manage firewalls, VPNs, IDS/IPS, micro segmentation, and encryption controls
Re-architect network infrastructure to support scalability and growth
Ensure VLAN segmentation and align network controls with zero-trust principles
Perform daily monitoring of network health and detect zero-day exploits
Monitor network traffic, identify threats, and lead incident response activities
Develop and enforce security standards aligned with NIST SP 800-171 and CMMC
Support secure cloud connectivity and hybrid architectures
Lead network upgrades, design Wi-Fi architectures, and support office buildouts
Evaluate new technologies and lead related implementation efforts
Occasional travel to offices across the US for project-related work

Requirements

US citizen
Ability to obtain clearance
Bachelor’s Degree
10+ years of relevant experience
Experience with enterprise network and firewall technologies (any relevant)
Secret clearance
Relevant credentials listed: CCNP, GIAC, CEH, or CMMC
Network access control implementation experience

Relevant Technologies

Firewalls, VPNs, IDS/IPS
Micro segmentation, encryption controls
VLAN segmentation, zero-trust
Wi-Fi architectures
NIST SP 800-171, CMMC Level 2, CUI
Network access control

Location, Work Style, and Travel

Location: Wakefield, MA (hybrid); Massachusetts
Work location: Wakefield HQ or Remote
Travel: 10%

Interpersonal Skills

Strong leadership and mentoring abilities
Excellent communication and problem-solving skills
Ability to manage complex, compliance-driven initiatives
Ability to document the environment and keep it up to date
Accountability, collaboration, transparency, trust

Compensation and Notes

Salary: USD 160,000 - 165,000 per year
Final compensation may be determined by federal contract labor categories and contract wage rates, relevant experience, specific skills and competencies, geographic location, education, and certifications
Position is filled through continuous recruitment and will remain open until a sufficient pool of applications has been received
Selected applicants may be eligible for benefits including: medical, dental, vision, life insurance, Tricare supplement, short-term disability, long-term disability, 401(k) match, flexible spending accounts, health savings accounts, employee assistance program, learning and development benefit, paid time off, and holidays

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1mo ago

Junior Data Engineer

Sentinel Group Wakefield, MA

Wakefield, MA

1mo ago Closed

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

This position is no longer accepting applications (closed Nov 3, 2026).

Job Description

Sentinel Group is building and evolving reliable data pipelines and data services to support its product and engineering teams. In this hybrid role in Wakefield, MA, you will help develop batch ETL/ELT workflows, support data quality and release readiness, and collaborate across Business Analysts, Data Analysts, and Software Engineers under the guidance of senior engineers.

This Junior Data Engineer position focuses on hands-on delivery: extracting and transforming data from APIs, databases, and files, validating outputs, and troubleshooting pipeline issues with clear escalation when risks arise.

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 with guidance from senior engineers.
Use SQL and scripts to extract, transform, validate, and load data from APIs, databases, and files.
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 support accurate, complete, timely, and available data.
Troubleshoot pipeline and data issues, communicate blockers clearly, and escalate risks with useful diagnostic information.
Support modernization of legacy data processes, moving toward secure, automated, cloud-based solutions aligned with CI.
Contribute to code reviews, automated tests, build pipelines, documentation, runbooks, and other development and data operations practices.
Assist with safe releases, backfills, and reprocessing by validating results and documenting changes.

What you’ll bring

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.
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 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.
Ability to work in a hybrid work environment, with one day in the office.
Authorization to work in the US without current or future sponsorship.

Technologies

SQL
Python
CSV
JSON
REST APIs
AWS
Git

Hybrid location

This is a hybrid role for the Wakefield, MA office with one day in-office per week, plus additional in-person trainings and workshops as needed.

Salary

$85,000-$93,000 per year
Compensation is calibrated to geographic location; the posted range may vary based on where you live.

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

Nice to have

Experience with git, build pipelines, auth, frontend testing

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1mo ago

Data Engineer

Sentinel Group Wakefield, MA

Wakefield, MA

1mo ago Closed

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

This position is no longer accepting applications (closed Nov 2, 2026).

Job Description

Sentinel Group is hiring a Data Engineer in Wakefield, MA (hybrid) to build and enhance secure, scalable data pipelines and platforms. This role spans the full data engineering lifecycle, from architecture and modeling through validation, troubleshooting, and releases, with ownership of production systems and continuous improvement.

What you’ll do

Design, develop, and evolve end-to-end data pipelines, integrations, data models, and platform capabilities.
Own production data systems, including availability, monitoring, incident response, root-cause analysis, and ongoing improvements.
Create and maintain a long-term vision for Sentinel’s data landscape.
Translate business and technical requirements into architecture, implementation plans, and incremental deliverables.
Build scalable ETL/ELT workflows to ingest, transform, validate, and deliver data from APIs, databases, files, and other systems.
Set 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 and transition toward secure, automated, cloud-based solutions aligned with CI.
Diagnose complex data, pipeline, performance, and reliability issues, delivering both immediate fixes and durable prevention.
Optimize queries, storage, processing, and infrastructure to improve 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.

What you bring

Advanced SQL skills and strong programming experience with Python or another data engineering language.
Deep understanding of data modeling, data warehousing, data lakes, ETL/ELT, and workflow orchestration.
Experience designing cloud-based solutions, preferably on AWS and its data services.
Judgment balancing scalability, reliability, performance, security, delivery speed, and cost.
A quality and reliability mindset, with ownership of data accuracy, lineage, monitoring, and operational readiness.
Ability to communicate complex technical concepts clearly and build consensus across teams.
Mentoring mindset and willingness to improve engineering practices across Sentinel.
Curiosity about responsible AI to 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 platforms.
Experience designing, building, deploying, and supporting production data pipelines.
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 with appropriate security controls.
Ability to work in a hybrid environment (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 related roles.

Tools you’ll work with

SQL, Python, AWS, Git, CI/CD, infrastructure as code, ETL/ELT

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

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.

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

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3mo ago

AI Engineer

Eastern Bank Wakefield, MA

Wakefield, MA

3mo 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

Eastern Bank seeks a junior to mid-level AI Engineer to build and scale enterprise AI capabilities across the bank, developing AI agents and automated workflows, building retrieval and prompt systems, and enabling AI tool integration within embedded business divisions.

Responsibilities

Design, deploy, and sustain AI agents and automated workflows using Claude, Microsoft Copilot, Azure AI Services, Power Platform, and SharePoint.
Develop scalable retrieval-augmented generation (RAG) pipelines and robust prompt-engineering frameworks.
Prototype and operationalize AI solutions to streamline day-to-day banking operations.
Collaborate with cross-functional teams to map business processes, identify pain points, and scope automation opportunities.
Translate non-technical requirements into clear technical specifications and solution designs.
Act as a trusted technical advisor to support embedded AI initiatives across business units.
Build and optimize retrieval systems, prompt architectures, and agent workflows for higher accuracy and effectiveness.
Assess AI solutions using user feedback, performance metrics, and business outcomes to drive improvements.
Contribute to governance for enterprise AI tools, including access management, usage policies, and documentation.
Uphold responsible AI practices with attention to data privacy, security, and regulatory standards.
Assist in administering and enabling AI platforms across the organization.

Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
1 to 4 years of experience in software engineering, data engineering, machine learning, or a similar technical role.
Hands-on experience with large language models and enterprise cloud or collaboration platforms.
Practical experience with AI and LLM platforms such as Claude, OpenAI, Gemini, or comparable technologies.
Background in prompt engineering, AI agents, and agent frameworks.
Familiarity with Microsoft technologies including Azure, Copilot, Power Platform, and Microsoft 365 development or administration tools.
Experience working with APIs, Model Context Protocol (MCP), data integrations, and data pipelines.
Understanding of AI governance, responsible AI practices, and enterprise AI administration.
Strong analytical and problem-solving capabilities, with clear written and verbal communication.
Ability to translate complex technical concepts into practical business solutions.
Ability to work independently and collaborate across multiple teams.
Financial services or other regulated industry experience 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
Vacation
Tuition reimbursement

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Engineer Jobs in Wakefield, MA

Senior Network Security Engineer

Junior Data Engineer

Data Engineer

AI Engineer

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