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Data Engineer Project Jobs in Roxbury, MA (NOW HIRING)

Hatch IT

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 ...

Goodwin

Sr. Data Engineer

Boston, MA · On-site

$115K - $156K/yr

The role of Senior Data Engineer is essential for the successful modernization of our data ... projects. What You Will Do: * Manage, evaluate, and enhance our existing data platforms ...

Hatch IT

Senior Data Engineer

Somerville, MA · On-site

$115K - $157K/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 ...

Goodwin Procter LLP

Sr. Data Engineer

Boston, MA · On-site

$115K - $156K/yr

The role of Senior Data Engineer is essential for the successful modernization of our data ... projects. What You Will Do: * Manage, evaluate, and enhance our existing data platforms ...

Syntricate Technologies

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Syntricate Technologies is seeking a Senior Data Engineer to join their Asset Management Quant ... project management services. Founded in 2004, the company is headquartered in Boston, USA, with a ...

3B Staffing LLC

Cloud Data Engineer

Quincy, MA · Hybrid

$120K - $144K/yr

The Department of Public Health (DPH) is looking for a highly skilled and experienced candidate to fill the Senior Cloud Data Engineer position for Data Modernization Initiative (DMI) Projects. DPH ...

3B Staffing LLC

Cloud Data Engineer

Quincy, MA · Hybrid

$120K - $144K/yr

The Department of Public Health (DPH) is looking for a highly skilled and experienced candidate to fill the Senior Cloud Data Engineer position for Data Modernization Initiative (DMI) Projects. DPH ...

Saviance

Integration (Data) Engineer

Boston, MA · On-site

... project status, challenges, and solutions effectively to both technical and non-technical team ... and data pipeline management. • Proficiency in programming languages such as Python, Java, or ...

MFS

Lead Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Manage and contribute to dbt projects, ensuring code quality, proper documentation, and alignment ... Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing ...

Cognizant Technology Solutions

AWS Data Engineer

Boston, MA · On-site

$95K - $115K/yr

... Data Engineer to design, develop, and maintain cloud-based solutions leveraging AWS services. The ... This may change based on the project you're engaged in, as well as business and client requirements.

LineVision, Inc.

Senior Data Engineer

Boston, MA · Hybrid

$145K - $160K/yr

... projects * Outstanding collaboration and communication skills, with proven ability to lead ... Reports to the Sr Data Engineering Lead * Collaborates closely with Data Science, Software ...

LineVision, Inc.

Senior Data Engineer

Boston, MA · On-site

$145K - $160K/yr

... projects * Outstanding collaboration and communication skills, with proven ability to lead ... Reports to the Sr Data Engineering Lead * Collaborates closely with Data Science, Software ...

Apex Systems

Senior Cloud Data Engineer

Quincy, MA · On-site

$110 - $114/hr

The Department of Public Health (DPH) is looking for a highly skilled and experienced candidate to fill the Senior Cloud Data Engineer position for Data Modernization Initiative (DMI) Projects.DPH is ...

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Showing results 41-60

All JobsData Engineer Project JobsData Engineer Project Jobs in Roxbury, MA

Data Engineer Project information

See Roxbury, MA salary details

$49.9K

$179.1K

$264.3K

How much do data engineer project jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer project in Roxbury, MA is $179,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,900.00 and $184,500.00 per year, depending on experience, location, and employer.

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 job categories do people searching Data Engineer Project jobs in Roxbury, MA look for?

The top searched job categories for Data Engineer Project jobs in Roxbury, MA are:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in Roxbury, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $179,087 per year, or $86.1 per hour.

Senior Data Engineer

Hatch IT

Somerville, MA • On-site

$120K - $160K/yr

Full-time

Re-posted 3 days ago

Job description

hatch I.T. is partnering with Via to find a Senior Data Engineer. See details below:
About the Role:
An impressive mission requires an equally impressive Senior Data Engineer.
As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of their solutions.
You will build the foundation that empowers their customers to harness AI for human-centric, data-driven decision-making. You will work cross-functionally with a high-performing team of data professionals, developers, DevOps, and Client Delivery specialists who are already pushing the boundaries of what's possible with AI.
Individuals who excel in this role are motivated by solving complex data accessibility challenges, holding a high bar for data quality and availability, and improving performance.
About the Company:
At VIA, their mission is to make communities cleaner, safer, and more equitable. VIA believes that by working across organizational boundaries, they can achieve greater collective good than they can individually. VIA overcomes digital barriers to collective action by providing the world's most secure and simple data and identity protection solutions.
VIA is trusted by the U.S. Department of Defense and Fortune 100 companies around the globe to solve their toughest data and identity protection challenges. Using their Web3, quantum-resistant, passwordless technologies (19 issued patents), VIA protects data against theft, manipulation, and misuse.
Responsibilities:
  • Design and implement robust, cloud-based data storage solutions, optimizing schemas for multi-tenant environments while ensuring data accessibility and security and a high standard of trust and transparency
  • Develop, deploy, and maintain resilient ETL/ELT pipelines for both real-time streaming and batch processing, ensuring seamless data flow from raw ingestion to production-ready applications
  • Build and manage data access layers, including REST APIs and streaming services, to empower downstream users
  • Drive data governance and best practices: Contribute across teams to recommend tools, processes, and best practices for maintaining data health, integrity, and security
  • Support AI operations (MLOps) by managing versioning, containerization, and deployment of AI models
  • Build monitoring and alerting systems to track data health and system performance, proactively identifying and remediating bottlenecks

Qualifications:
  • Bachelor's degree or higher in Computer Science, Engineering, or Data Science
  • 5+ years of professional experience in data engineering or a related role
  • A strong foundation in Python (or equivalent), including testing frameworks (e.g., pytest) and ORMs (e.g., SQLAlchemy)
  • You understand modularity and how to define clear scopes and responsibilities within a large codebase
  • Proven experience architecting scalable relational and non-relational (SQL/noSQL) schemas
  • You manage the end-to-end database lifecycle, from initial design to production maintenance
  • Expertise in maximizing system performance through advanced query tuning, strategic indexing, and execution plan analysis to eliminate technical bottlenecks
  • Experience with one or more cloud-based databases (e.g., AWS RDS, Azure Database)
  • You are comfortable configuring compute resources, backups, and geolocation requirements
  • Experience building resilient pipelines using frameworks such as Dagster or Apache Airflow
  • You have a track record of maintaining data health for both real-time streaming and batch processing
  • A strong understanding of how data infrastructure integrates into the broader application architecture
  • Experience with modern software development practices, including version control (Git), CI/CD pipelines, and a commitment to high-quality, maintainable code

Preferred Qualifications:
  • Experience working with streaming data (e.g., Kafka) or running data models on the edge (e.g., Raspberry Pi, IoT devices)
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes
  • Experience architecting and consuming scalable RESTful APIs using standardized design principles and robust authentication protocols
  • Familiarity with blockchain data indexing or privacy-preserving data processing techniques
  • Experience mentoring junior engineers or leading technical projects within a high-performing team

What does it take to be a successful VIAneer? Let's break it down, VIAneers are:
  • Self-motivated and passionate about leaving everything they touch better than how they found it
  • Firm believers that people should love what they do and are eager to build a culture that enables them to do their best work
  • Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence
  • People who lead discussions with curiosity and value diverse perspectives
  • Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills
  • Strong team players who thrive in collaborative environments and celebrate the success of others

$120,000 - $160,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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