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Data Analytics Engineer Jobs in Worcester, MA (NOW HIRING)

Constant Contact

Analytics Engineer

Waltham, MA · On-site +1

As an Analytics Engineer, you will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets, building robust data ...

Global Partners

Analytics Engineer

Newton, KS

$118K - $177K/yr

You have worked with teams to serve as the domain expert pertaining to Data, Analytics, Technology ... Collaborate with departments, engineers, and data scientists to align on data needs and strategies ...

Global Partners LP

Analytics Engineer

Waltham, MA · On-site

$118K - $177K/yr

You have worked with teams to serve as the domain expert pertaining to Data, Analytics, Technology ... Collaborate with departments, engineers, and data scientists to align on data needs and strategies ...

Constant Contact

Analytics Engineer

Waltham, MA · On-site

$84K - $101K/yr

Collaborate with data analysts, data scientists, data engineers and other stakeholders to understand data needs and deliver high-quality, reliable data solutions. * Ensure data quality and integrity ...

Xometry

Analytics Engineer II

Waltham, MA · Hybrid

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower our entire organization to make better decisions. As a senior ...

Xometry

Analytics Engineer II

Waltham, MA · On-site

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower our entire organization to make better decisions. As a senior ...

eShipping, LLC

Lead Analytics Engineer

North Scituate, RI · Remote

$80K - $115K/yr

Position Summary The Lead Analytics Engineer serves as the primary analytics resource embedded within the Solutions team, bridging the gap between complex data systems and business decision-making.

Busek Co Inc

Data Analyst

Natick, MA · On-site

Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics, Statistics, or a related technical field. * Strong analytical and problem-solving skills with the ability to ...

Busek

Data Analyst

Natick, MA · On-site

Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics, Statistics, or a related technical field. * Strong analytical and problem-solving skills with the ability to ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Serve as the primary analytics partner for SIOP processes, providing demand/supply data analysis ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Serve as the primary analytics partner for SIOP processes, providing demand/supply data analysis ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

Consigli Construction

Senior Data Engineer

Milford, MA · On-site

$100K - $120K/yr

The Senior Data Engineer supports the design, build, and optimization of our analytical data ... environment, including pipelines, semantic models, data quality controls, and governed access ...

Consigli Construction

Senior Data Engineer

Milford, MA · On-site

$100K - $120K/yr

The Senior Data Engineer supports the design, build, and optimization of our analytical data ... environment, including pipelines, semantic models, data quality controls, and governed access ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Worcester, MA

Data Analytics Engineer information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

How much do data analytics engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data analytics engineer in Worcester, MA is $129,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,200.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Worcester, MA? The most popular types of Data Analytics Engineer jobs in Worcester, MA are:
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What cities near Worcester, MA are hiring for Data Analytics Engineer jobs? Cities near Worcester, MA with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Worcester, MA as of July 2026, with employment types broken down into 56% Full Time, 33% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,434 per year, or $62.2 per hour.
Analytics Engineer

Analytics Engineer

Constant Contact

Waltham, MA • On-site, Remote

Other

Posted 3 days ago

New

Constant Contact rating

8.6

Company rating: 8.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 48 rated marketing agency

Job description

About Us: Constant Contact, an established leader in online marketing, helps small businesses, nonprofits, and individuals stay connected with their customers through email marketing, social media, event marketing, and more. Our mission is to empower small businesses and organizations to create and grow customer relationships and achieve their goals through powerful online marketing tools. We value innovation, collaboration, and a customer-first mindset in everything we do.

Job Summary: As an Analytics Engineer, you will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets, building robust data models, and enabling data analysts and other stakeholders to extract meaningful insights. Your work will directly impact decision-making processes across the organization.

Key Responsibilities:

  • Design, build and optimize data models for analytical and operational use cases.
  • Design, develop, and maintain scalable data pipelines and ELT processes to transform raw data into usable formats(as needed).
  • Collaborate with data analysts, data scientists, data engineers and other stakeholders to understand data needs and deliver high-quality, reliable data solutions.
  • Ensure data quality and integrity by implementing best practices for data validation, testing, and documentation.
  • Develop and maintain data infrastructure and tooling to support analytics workflows.
  • Monitor and troubleshoot data pipelines/models and reports to ensure smooth operation and timely data delivery.
  • Implement and enforce data governance and security measures.
  • Provide reliable and trustworthy models for the Organization to make critical decisions.
  • Experience with the Finance domain/analytics is a plus.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. A Master's degree is a plus.
  • 1-3 years of experience as an Analytics Engineer, Data Engineer, or a similar role.
  • Strong proficiency in SQL and experience with data modeling and schema design such as star and snowflake.
  • Experience with ELT tools and data pipeline frameworks (e.g., Apache Airflow, dbt, Fivetran).DBT - Preferred.
  • Proficiency in programming languages such as Python or R.
  • Familiarity with cloud data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Experience with Snowflake is desirable.
  • Knowledge of data visualization tools (e.g., Tableau, Looker, Power BI) is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Preferred Skills:

  • Experience with cloud databases 
  • Experience in Reporting tools.
  • Knowledge of machine learning concepts
  • Familiarity with data governance and compliance standards.
  • Ability to work in an agile environment.

Benefits:

  • Competitive salary and benefits package.
  • Opportunity for professional growth and development.
  • Collaborative and inclusive work environment.
  • Flexible work arrangements.

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