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Data Engineer Data Bricks Jobs in Springfield, MA

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · 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 ...

ISO New England, Inc.

Lead Data Engineer

Holyoke, MA · 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 ...

Lancesoft

Data Engineer - Cyber Security

Springfield, MA · On-site

$75 - $85/hr

G., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). * 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep handson ...

The Hartford

Sr Staff Data Engineer

Hartford, CT · Hybrid

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every ...

The Whiteside Agency

Senior Data Engineer

Hartford, CT · On-site

$139K - $230K/yr

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and ...

Deloitte

Senior Data Engineer

Hartford, CT · Hybrid

$106K - $145K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

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All JobsData Engineer Data Bricks JobsData Engineer Data Bricks Jobs in Springfield, MA

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 Jun 28, 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 are Data Engineer Data Bricks?

A Data Engineer specializing in Databricks is a professional who designs, builds, and maintains data pipelines and infrastructure using the Databricks platform. Databricks is a cloud-based data analytics platform that facilitates big data processing, machine learning, and collaborative analytics. Data Engineers use Databricks to process large datasets, automate data workflows, and support data-driven decision-making for organizations. Their responsibilities often include cleaning and transforming data, optimizing data storage, and ensuring efficient data movement across systems.

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 the key skills and qualifications needed to thrive as a Data Engineer specializing in Databricks, and why are they important?

To thrive as a Data Engineer specializing in Databricks, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, SQL, cloud platforms (like AWS or Azure), and relevant certifications (such as Databricks Certified Data Engineer) is typically required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into data solutions. These skills ensure efficient data pipeline development, reliable data management, and impactful analytics in data-driven organizations.

What are some common challenges Data Engineers face when working with Databricks, and how can they be addressed?

Data Engineers working with Databricks often encounter challenges related to optimizing large-scale data pipelines, managing cluster resources efficiently, and ensuring seamless data integration across varied sources. Addressing these issues typically involves staying current with Databricks best practices, such as implementing Delta Lake for reliable data storage, using job scheduling to automate workflows, and proactively monitoring cluster performance. Collaborating closely with data scientists and analysts is also crucial to align data models and streamline the analytics process.
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:
Data Engineer Data Bricks jobs near you
Senior Data Engineer

Senior Data Engineer

NAVA Software Solutions

Bloomfield, CT • On-site

$105K - $143K/yr

Full-time

Posted 2 days ago

Job description

NAVA Software solutions is looking for a Senior Data Engineer
Details:
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 Engineer is responsible for the delivery of a business need end-to-end starting from understanding the requirements to deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes of being a Senior Data Engineer, among others, is Ownership & Accountability.
In addition to Delivery, the Senior Data Engineer should have an automation first and continuous improvement mindset. They should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes.
Behaviors of a Full Stack Engineer:
Senior Data Engineer is able to articulate clear business objectives aligned to technical specifications and work in an iterative, agile pattern daily. They have ownership over their work tasks, and embrace interacting with all levels of the team and raise challenges when necessary. We aim to be cutting-edge engineer - not institutionalized developers.
Key Characteristics and duties you will perform:
  • Analyze source data and data flows, working with structured and unstructured data.
  • Build data pipelines to extract, transform, crunch and store data in various target systems
  • Write reference-able & modular code
  • Design and architect the solution independently
  • Have a passion to learn, Take ownership and accountability
  • Deep desire for automation using devops practices and toolsets
  • Have a desire to simplify;be entrepreneurial / business minded

Skills and Experience You Will Need:
Mandatory:
  • 2+ years being part of Agile teams - Scrum or Kanban
  • 2+ years of solution architecting in cloud technology (eg. AWS, Azure, google cloud)
  • 6+ years of working in an object-oriented language: Java or Scala and Python
  • 3+ years of working experience in Apache Spark, PySpark, Apache Airflow
  • 3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra
  • 3+ years of devops tool chain: Jenkins, Maven, Artifactory, Docker, Terraform, Ansible
  • 3+ years of experience in AWS Glue, SNS, SQS, S3, ECS, LAMBDA
  • 2+ years of working experience with operationalizing Machine learning models

Desired:
  • Understanding of Machine learning frame works (e.g. Scikit learning, Scipy)
  • Understanding and 1+ yrs of working experience with Deep learning frameworks

Skills/Certifications/Licenses:
  • Nice to have AWS solution architecture and developer certification
  • Nice to have data science and Machine learning certification from a reputed institution
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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