1

Data Engineer Project Jobs in Massachusetts (NOW HIRING)

Sr. Data Engineer

Milford, MA

$125K - $150K/yr

Track record of optimally completing projects across people, process, data, and technology in complex, global organizations * Strong proficiency in data engineering and software development;

Sr Databricks Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery. Data Governance: Consult on, design, and implement governance, security ...

Data Engineer III

Quincy, MA · On-site

$125.04 - $187.56/hr

Overview The Data Engineer III has a demonstrated track record expanding and optimizing data and ... They engage through the entire lifecycle of a project from data mapping, data pipelines, data ...

We are looking for a Principal Data Engineer to drive improvements in the Digital Risk Protection ... Create technical project plans and drive the successful execution of DRP initiatives, with input ...

Senior Scientific Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products * Drive value for the customers - verify the solution ...

Senior Scientific Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products * Drive value for the customers - verify the solution ...

Software Engineering, Senior Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The Investment Data Management Office is seeking a Senior Investment Data Engineer to support the ... Contribute to dbt projects by building modular, scalable, and well-documented transformation ...

Senior Scientific Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products * Drive value for the customers - verify the solution ...

Your focus starts with commercial project operational telemetry and is likely to extend into manufacturing and R&D data over time, working within our data engineering group and partnering closely ...

You're not looking for a greenfield project with perfect infrastructure. You're looking for the ... Who We're Looking For Experience * 4-8 years combining hands-on data engineering with direct ...

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Take end-to-end accountability for data systems and roadmap themes, owning projects through from ... Partner with Product, Data, and Engineering teammates to ensure our pipelines, models, and tooling ...

Senior Data Engineer

Somerville, MA · On-site

$120K - $160K/yr

As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of their solutions ... Experience mentoring junior engineers or leading technical projects within a high-performing team ...

Showing results 21-40

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

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

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

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

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

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

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

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

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

Infographic showing various Data Engineer Project job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

$125K - $150K/yr

Full-time

Re-posted 5 days ago


Key responsibilities

  • Build and customize data models, apps, automations, and data pipelines on the Celonis platform and other data sources.

  • Collaborate with stakeholders to understand business requirements and ensure alignment on technical solutions.

  • Develop, implement, and support data solutions, including data quality, governance, and system interoperability.


Job description

Overview

Our Transformation team is on a mission to improve business outcomes and employee experiences by driving step-change improvements in critical enterprise capabilities, including the processes, technology and analytics supporting these.

As a Sr Data Engineer, you will be responsible for implementing AI, process automation, data solutions, and app development on the Celonis and other platforms. This will require you to understand business needs in various domains, define ground breaking solutions that meet the needs, and work collaboratively as part of a multi-functional team to deliver the solutions. Success will require close collaboration with stakeholders across multiple functions, and the ability to influence changes in a global organization. This position is ideally suited for an individual who is comfortable in a dynamic environment, with experience in conceptual and analytical problem solving. 

Responsibilities
  • Work with team members to understand business requirements
  • Collaborate with process analysts, data scientists, and domain experts to ensure alignment on business objectives and technical requirements
  • Build and customize data models, apps, automations, etc. on the Celonis platform to deploy AI agents, process orchestrations, process improvements, and analytics solutions
  • Design, develop, and implement data pipelines within the Celonis internal and other data sources (e.g., SAP, Salesforce, Databricks)
  • Develop and implement data quality and governance processes to ensure data accuracy and integrity
  • Integrate Celonis apps with other enterprise tools, ensuring smooth data flow and system interoperability
  • Build automated workflows to integrate (with) other enterprise systems and applications
  • Optimize and maintain large-scale data processing systems for performance, scalability, and reliability
  • Provide ongoing support for Celonis applications and data pipelines, solving issues and ensuring high system uptime
  • Document technical specifications, solutions, and processes for future reference
Qualifications
  • 6+ years dynamic experience in data engineering, data science, software development, analytics or similar roles
  • Validated experience working with the Celonis platform or equivalent platforms, including data engineering, process mining, app development, and automation
  • Track record of optimally completing projects across people, process, data, and technology in complex, global organizations
  • Strong proficiency in data engineering and software development; Experience with programming languages such as Python, SQL
  • Solid understanding of data modelling, warehousing, and governance practices
  • Familiarity with common enterprise systems (SAP, CRM, HRM, etc.) and integrating data from such systems into the Celonis platform
  • Hands-on experience with process automation and orchestration tools a plus
  • Familiarity with cloud platforms (e.g., Azure) and distributed data systems
  • Ability to optimally translate business problems into implementable solutions with quantifiable business benefits
  • Results oriented mentality, operates with high sense of urgency. Proven track record of solving problems, breaking down barriers and delivering results ahead of schedule
  • Strong written and verbal communication
  • Knowledge of business process modelling and process mining solutions a plus
  • Experience working on an Agile / Scrum team a plus
  • Product Owner and/or Scrum Master certifications a plus
  • Bachelor's Degree in Computer Science, Data Engineering, or a related subject area.   Master's Degree preferred                                                                                                                                                                             
Company Description

Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide. 

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

Key Words#LI-Hybrid #Celonis #Data #AI # DataEmployment Type: OTHER