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Data Engineer Jobs in Fall River, MA (NOW HIRING)

SEACORP

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

The architect will partner with engineering, platform,analytics, security, and business teams to establish architectural standards,guide implementation, and enable high-quality data products across ...

SEACORP

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

Required : • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field. • 7+ years of experience in data engineering, data architecture, or platform ...

SEACORP

Data Lakehouse Architect

Middletown, RI

$63.50 - $81.50/hr

The architect will partner with engineering, platform,analytics, security, and business teams to establish architectural standards,guide implementation, and enable high-quality data products across ...

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All JobsData Engineer JobsData Engineer Jobs in Fall River, MA

Data Engineer information

See Fall River, MA salary details

$44.7K

$130.2K

$178.2K

How much do data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer in Fall River, MA is $130,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $138,000.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What job categories do people searching Data Engineer jobs in Fall River, MA look for?

The top searched job categories for Data Engineer jobs in Fall River, MA are:

What cities near Fall River, MA are hiring for Data Engineer jobs?

Cities near Fall River, MA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Fall River, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,215 per year, or $62.6 per hour.

Java backend data engineer - Smithfield RI

Photon

Providence, RI • On-site

$50.25 - $65.25/hr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

Looking for a highly motivated Java Backend Data Engineer responsible for designing, building, and maintaining the operational and analytical capability in FI's data platforms. The work involves solution design, data analysis, end to end development, production rollout, and production support activities using Java Spring Batch, Python, AWS, Oracle, and Snowflake. The role will be involved in projects centered around maintaining and improving the quality of financial product information brought into our data ecosystem that will provide value to our compensation, sales, and reporting users. The role will be positioned as a more senior developer within a single squad.
The skillset aligns with a Java backend data engineer. Top 3 required skills are Spring Batch, AWS, and SQL (Oracle, Snowflake).

The Expertise and Skills You Bring

  • Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of working experience
  • 10+ years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is a must
  • 2+ years of experience developing batch / backend applications that run in AWS, with focus on AWS Batch and S3
  • 3+ years working with SQL (ANSI SQL, Oracle, Snowflake)
  • 1+ years of Python development
  • Experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M)
  • Strong data modeling skills with experience working with 3NF and Star Schema data models
  • Proven data analysis skills; not afraid to work in a complex data ecosystem
  • Hands-on experience on SQL query optimization and tuning to improve performance is desirable
  • Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Terraform, CloudFormation)
  • Experience in Agile methodologies (SCRUM)
  • Experience building and deploying containerized applications using Docker
  • Work experience in the financial services industry is a plus
  • Proven track record to handle ambiguity and work in a fast-paced environment, either independently or in a collaborative manner
  • Good interpersonal skills to work with multiple teams within the business unit and across the organization

 The Value You Deliver

  • Passion and intellectually curiosity to learn new technologies and business areas
  • Working with our business partners to enhance their user experience and provide them curated data to help them drive business results more effectively
  • Enhancing data quality of financial product information in our systems that has large impact on sales, compensation, and reporting business users
     

Compensation, Benefits and Duration

Minimum Compensation: USD 40,000
Maximum Compensation: USD 142,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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