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Senior Data Analytics Engineer Jobs in Massachusetts

Lancesoft

Data Analytics Engineer

Springfield, MA · On-site

$80 - $85/hr

G., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience ... for senior leaders and nontechnical audiences. Education: * Bachelor's degree Meet Your Recruiter ...

Purple Carrot

Analytics Engineer

Dedham, MA · Hybrid

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

Purple Carrot

Analytics Engineer

Dedham, MA · On-site

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

Purple Carrot

Analytics Engineer

Dedham, MA · On-site

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

Mitre

Health Data Analytics Engineer

Bedford, MA

$120K - $144K/yr

... economics, engineering). * Demonstrated expertise in problem solving and technical innovation ... Experience with data analysis, data fusion and integration. * Strong analytical skills and comfort ...

Motion Recruitment

Senior Data Analyst

Woburn, MA · On-site

$91K - $115K/yr

Full-time opportunity for a Senior Data Analyst at a robotics startup revolutionizing tire changing ... This is a highly impactful role at the intersection of analytics, data engineering, and robotics.

Forward Financing

Senior Data Analyst

Boston, MA · On-site

$114K - $144K/yr

Senior Data Analyst We are seeking a Senior Data Analyst to join our team. As a Senior Data Analyst ... Contribute to work across the Analytics department, including Analytics Engineering and Data ...

Geode Capital Management

Senior Data Engineer

Boston, MA · Hybrid

$165K - $185K/yr

The Senior Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python. This role is based ...

ABCorp NA Inc.

Sr. Analytics Engineer

West Roxbury, MA · On-site

$110K - $140K/yr

Our team owns everything from data modeling and instrumentation to metrics definition ... The Role ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics ...

ABCorp

Sr. Analytics Engineer

Boston, MA · On-site

The Senior Analytics Engineer will own the data and analytics strategy for secure payment card solutions and enterprise SaaS products, partnering with cross-functional teams to build scalable data ...

Connie Health

Senior Analytics Engineer

Boston, MA · On-site

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

Connie Health Inc

Senior Analytics Engineer

Boston, MA · On-site

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

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Showing results 1-20

All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Massachusetts

Senior Data Analytics Engineer information

See Massachusetts salary details

$88.5K

$138K

$191.1K

How much do senior data analytics engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior data analytics engineer in Massachusetts is $137,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $157,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Massachusetts? The most popular types of Data Analytics Engineer jobs in Massachusetts are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Massachusetts? For Senior Data Analytics Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Massachusetts look for? The top searched job categories for Senior Data Analytics Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Senior Data Analytics Engineer jobs? Cities in Massachusetts with the most Senior Data Analytics Engineer job openings:
Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,966 per year, or $66.3 per hour.

Data Analytics Engineer

Lancesoft

Springfield, MA • On-site

$80 - $85/hr

Temporary

Posted 17 days ago

Job description


Key responsibilities include:
  • Partner with Cybersecurity leaders, risk stakeholders, and nonCyber teams to define and deliver datadriven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.G., NIST CSF).
  • Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights.
  • Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust.
  • Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and frontline Cyber teams.
  • Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability.
  • Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support.
  • Leverage AIassisted development and analytics workflows (e.G., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight generation, and experimentationwhile operating within established security and data governance controls.
  • Translate complex technical findings into clear, consumable narratives for executive and nontechnical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes.
  • Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and futurestate analytics capabilities.
Minimum Qualifications:
  • 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 technology domains, with deep handson experience in data engineering, analytics, or data architecture.
  • Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns.
  • Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies.
  • Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.G., vulnerabilities, threats, controls, risk).
  • Strong coding proficiency (e.G., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases.
  • Experience collaborating closely with data engineering, platform, and architecture teams to ensure longterm operability and support.
Preferred Qualifications:
  • Cybersecurity certifications (e.G., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience).
  • Demonstrated experience applying advanced analytics techniques (e.G., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems.
  • Experience incorporating or experimenting with AIenabled analytics or development tools (e.G., Claude, AI code assistants, agentbased analytics) in a secure enterprise environment.
  • Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices.
  • Strong proficiency with data visualization and BI tools (e.G., Tableau, Power BI) to deliver executiveready, actionable insights.
  • Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE ATT&CK.
  • Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms.
  • Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities.
  • Track record of leading or delivering endtoend data and analytics initiatives that materially improved Cyber risk management, visibility, or decisionmaking.
  • Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and nontechnical audiences.
Education:
  • Bachelor's degree

Meet Your Recruiter
Rahul Rana-Amar
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

Social media

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