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

Progressive Gaming

Data Engineer II

Providence, RI

$115K - $138K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power ...

IGT

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power ...

First Citizens Bank

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

First Citizens Bank

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Amego Inc.

Data Engineer

Attleboro, MA · On-site

$100K - $110K/yr

Behind that mission is a growing technology and data function that helps our clinical, residential, and administrative teams operate efficiently and make informed decisions. We're looking for an ...

Teknor Apex

Microsoft Fabric Data Engineer

Pawtucket, RI

$111K - $133K/yr

Mentor junior team members and establish data engineering best practices * Collaborate with business stakeholders across various departments to translate requirements into technical solutions

Citizens

Principal Data Engineer - Neo4J

Johnston, RI · On-site

Description Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives ...

Citizens

Principal Data Engineer - Neo4J

Johnston, RI · On-site

Description Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives ...

Citizens

Principal Data Engineer - FLINK

Johnston, RI · On-site

Description Principal Data Engineer - Real-Time Streaming (Flink) Role Summary As a Principal Data Engineer (Real-Time Streaming - Flink), you will be chartered with designing, developing, and ...

Citizens

Principal Data Engineer - FLINK

Johnston, RI · On-site

Description Principal Data Engineer - Real-Time Streaming (Flink) Role Summary As a Principal Data Engineer (Real-Time Streaming - Flink), you will be chartered with designing, developing, and ...

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Showing results 21-40

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 8, 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 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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $130,215 per year, or $62.6 per hour.

Data Engineer II

Progressive Gaming

Providence, RI

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

IGT, where innovation meets entertainment on a global scale!  From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable gaming experiences-powered by worldclass content, strong technical and commercial capabilities and nurtured by a culture of collaboration, accountability, and ownership.

 

Whether it's spinning reels, placing bets, or enabling secure payments, we turn innovation into impact through disciplined execution and longterm value creation. With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 jurisdictions worldwide, we operate at scale while staying closely connected to costumers we serve. If you're ready to bring your talent to a team shaping the future of entertainment, your next big move starts here - www.igt.com.

About the Role

We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power enterprise analytics, reporting, and emerging AI initiatives.


You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python, SQL, and AWS to develop reliable data pipelines and curated datasets. Working closely with business stakeholders, analytics teams, and fellow engineers, you'll transform business requirements into high-quality, production-ready data solutions.
This position is ideal for an engineer who enjoys solving complex data challenges, building scalable solutions, and continuously learning new technologies.

What You'll Do
  • Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python. 
  • Build and maintain reliable, high-quality datasets that support enterprise analytics, operational reporting, and AI use cases. 
  • Develop data transformations using Delta Lake and Lakehouse architecture best practices. 
  • Integrate data from enterprise applications, APIs, databases, files, and other internal and external sources. 
  • Collaborate with business stakeholders, analysts, and product teams to understand data requirements and deliver scalable solutions. 
  • Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and performance. 
  • Participate in migrating and modernizing legacy data processes to cloud-native architectures. 
  • Improve data quality through validation, testing, monitoring, and automation. 
  • Contribute to engineering best practices through code reviews, documentation, and knowledge sharing. 
  • Support continuous improvement of the enterprise data platform by identifying opportunities for automation, optimization, and simplification.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. 
  • 3+ years of experience in Data Engineering or a related technical role. 
  • Strong SQL development skills. 
  • Strong Python programming experience. 
  • Experience building data pipelines using Apache Spark and Databricks (or similar distributed data processing platforms). 
  • Experience developing modern ETL/ELT pipelines. 
  • Understanding of data modeling and data warehousing concepts. 
  • Experience working with cloud-based data platforms, preferably AWS. 
  • Familiarity with Delta Lake or similar modern data storage technologies. 
  • Experience using Git and collaborative software development practices. 
  • Strong analytical, troubleshooting, and problem-solving skills. 
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with AWS data services such as Amazon S3, Lambda, or related technologies.
  • Experience working with Databricks on AWS.
  • Experience with Delta Lake and Medallion/Lakehouse architecture.
  • Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar workflow orchestration platforms. 
  • Experience consuming and developing REST APIs. 
  • Experience working with semi-structured data, including JSON and Excel-based data ingestion. 
  • Familiarity with CI/CD practices for data engineering. 
  • Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications. 
  • Experience working in gaming, hospitality, financial services, or other data-intensive industries.
Technical Environment

You'll work with technologies including: 

  • Databricks (AWS) 
  • Apache Spark 
  • Delta Lake 
  • Python 
  • SQL 
  • Amazon S3 
  • Git 
  • REST APIs 
  • CI/CD pipelines
What Makes You Successful
  • You enjoy solving complex technical problems and continuously improving existing solutions. 
  • You can work independently while collaborating effectively with cross-functional teams. 
  • You write clean, maintainable, and well-tested code. 
  • You take ownership of your work from development through production support. 
  • You have a growth mindset and enjoy learning new technologies. 
  • You communicate technical concepts clearly with both technical and non-technical audiences.

#LI-CK1

IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve and to fostering an inclusive environment where all employees feel valued, respected, and engaged. IGT is an equal opportunity employer and provides equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We thank all applicants for their for applying; however, only those selected to interview will be contacted. 

At IGT, we consider a wide range of factors in determining compensation, including skills, experience, education, and geographic location. These factors may result in variation in starting pay. The estimated compensation for this role is up to $104,000 USD, based on a good-faith assessment at the time of posting. Actual compensation may vary. IGT complies with all applicable pay transparency and compensation laws and collective bargaining agreements, where applicable. 
Base pay is one component of IGT's total rewards program. Depending on the role, employees may be eligible for bonus or commission opportunities. IGT also offers a comprehensive benefits package, which may include a 401(k) savings plan with company contributions, medical, dental, and vision insurance, life and disability coverage, paid time off, tuition reimbursement, and other wellness programs, subject to eligibility requirements. 

IGT is the global leader in gaming. For more information, please visit www.igt.com.

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