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Data Engineer Data Analyst Jobs in Massachusetts

Data Analyst

Natick, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... This role will work closely with Research and Development, Engineering, Test Operations, and ...

Data Analyst

Natick, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... This role will work closely with Research and Development, Engineering, Test Operations, and ...

Data Strategy-Manager

Boston, MA

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

Boston, MA

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Analyst

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

Data Analyst

Lexington, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

Data Engineer

Boston, MA

$124K - $149K/yr

You'll work alongside senior engineers, data scientists, and analysts, gaining hands-on experience with modern cloud data platforms and growing into the kind of engineer who can one day lead complex ...

Data Analyst

Lexington, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

  • Medical

  • Life

You'll work alongside senior engineers, data scientists, and analysts, gaining hands-on experience with modern cloud data platforms and growing into the kind of engineer who can one day lead complex ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

  • Medical

  • Life

You'll work alongside senior engineers, data scientists, and analysts, gaining hands-on experience with modern cloud data platforms and growing into the kind of engineer who can one day lead complex ...

Data Analyst

Canton, MA · On-site

  • Retirement

  • PTO

Data Engineering * ETL * Functional Analysis * Health Care Payers * Oracle * Oracle PL/SQL * SQL * Teradata * Test case / script development * Use Cases What you can expect from us: Together, as ...

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... analytical goals into scalable, automated data solutions. • Collaborate with Platform and Forensic Engineering peers to develop integrated solutions across Foundry focus areas. • Support the ...

The Data Engineer III will develop and scale our data ecosystem including our medallion ... Partner with Finance, FP&A, Accounting, Marketing, and other areas to translate business ...

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Showing results 1-20

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Massachusetts?

For Data Engineer Data Analyst jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Massachusetts look for?

The top searched job categories for Data Engineer Data Analyst jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Engineer Data Analyst jobs?

Cities in Massachusetts with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

Junior Machine Learning Engineer/Data Scientist/Data analyst-remote

SynergisticIT

Boston, MA • On-site

Other

Posted 13 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Don’t Need Luck — You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, it’s about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. You’ll work on high‑demand technologies, build real‑world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You don’t need luck — you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume