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Data Engineer Data Bricks Jobs in Springfield, MA

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Sr Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD: * Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures, triggers ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Senior Data Engineer

Bloomfield, CT ยท On-site

$105K - $143K/yr

Role: Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates Duration: 6-12 months What You Will Do: The Senior Data ...

Lead Data Engineer

Holyoke, MA ยท On-site

$150K - $170K/yr

We have an important role to play in securing the region's clean and reliable energy future and are looking for a Data Engineer to join our team. In this role, you will design, develop, and maintain ...

Lead Data Engineer

Holyoke, MA ยท On-site

$150K - $170K/yr

We have an important role to play in securing the region's clean and reliable energy future and are looking for a Data Engineer to join our team. In this role, you will design, develop, and maintain ...

Showing results 21-40

Data Engineer Data Bricks information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

How much do data engineer data bricks jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer data bricks in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

What are popular job titles related to Data Engineer Data Bricks jobs in Springfield, MA?

For Data Engineer Data Bricks jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Bricks jobs in Springfield, MA look for?

The top searched job categories for Data Engineer Data Bricks jobs in Springfield, MA are:

Infographic showing various Data Engineer Data Bricks job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,263 per year, or $62.1 per hour.

$115K - $138K/yr

Contractor

Re-posted 28 days ago


Job description

Job Description:
We are looking for a skilled Python Data Engineer with hands-on experience in Azure, PySpark, and Databricks, specifically within the insurance domain. This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization.
Key Responsibilities:
  • Design and develop scalable and robust data pipelines using PySpark and Python.
  • Leverage Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation.
  • Utilize Databricks for distributed data processing, data wrangling, and advanced analytics.
  • Ensure data quality, integrity, and compliance with data governance and security policies.
  • Collaborate with cross-functional teams, including business analysts, data scientists, and application developers.
  • Participate in performance tuning, troubleshooting, and optimization of data workflows.
  • Translate business requirements into technical specifications, especially within the insurance industry context.
  • Develop and maintain documentation for data pipelines and architecture.