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

Navtech, Inc.

Cloud Data Engineer

Woonsocket, RI · On-site +1

$53.50 - $71.50/hr

Cloud Data Engineer Work Location: Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 years * 3+ years experience building and supporting large-scale, business-critical systems on Public ...

Mondo

Data Platform Tech Lead

Fall River, MA · Remote

$130K - $150K/yr

This individual will lead a team of three (Senior Data Engineer, Analytics Engineer, and Reporting Analyst) while remaining hands-on, taking technical stories each sprint, and driving the end-to-end ...

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 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.

Lead Data Engineer - Databricks & Microsoft Fabric

Lighthouse MTG LLC

Lincoln, RI • Remote

$93K - $123K/yr

Contractor

Re-posted 2 days ago

Job description

Description

 Location: Remote (Preference for candidates located in New England)
Engagement: Contract or Contract-to-Hire 


Lead Data Engineer

Databricks & Microsoft Fabric


Overview

Spyglass MTG is seeking a highly skilled Lead Data Engineer with strong expertise in Databricks and Microsoft Fabric to help design, build, and scale modern data platforms in Azure.

This role is both strategic and hands-on. The ideal candidate will lead the development of enterprise data solutions while actively building scalable pipelines, lakehouse architectures, and data platforms that support analytics, reporting, and AI initiatives.

The Lead Data Engineer will work closely with data architects, analysts, and business stakeholders to deliver high-performance data solutions that enable organizations to leverage their data more effectively.


Responsibilities

Design and implement modern data platforms using Databricks and Microsoft Fabric
Build and maintain scalable data pipelines and ingestion frameworks
Develop and optimize Spark and PySpark workloads within Databricks
Implement lakehouse and data warehouse architectures
Design and manage data models supporting analytics and reporting
Collaborate with data scientists and analytics teams to support AI and advanced analytics initiatives
Implement data quality, governance, and security best practices
Provide technical leadership and mentorship to data engineering team members
Optimize performance, reliability, and scalability of data platforms


Requirements


7+ years of experience in data engineering or data platform development 

Strong hands-on experience with Databricks and Apache Spark  

Experience implementing Microsoft Fabric data solutions  

Proficiency in Python and PySpark  

Experience working with Azure data services and cloud-based data platforms  

Experience designing modern lakehouse or data warehouse architectures  

Strong understanding of data pipeline design, ETL/ELT processes, and data modeling


Preferred

Experience supporting AI or machine learning workloads  

Experience working in enterprise data environments  

Familiarity with CI/CD and data platform automation 

Apply