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Data Engineer Data Bricks Jobs in Springfield, MA

Data Engineer

Hartford, CT ยท On-site

$70 - $80/hr

Data Engineer Location: Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities Serve as subject matter expert and/or technical lead for large-scale data ...

Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of ...

Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills & Experience: โ€ข Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures ...

Data Engineer

Bloomfield, CT ยท On-site

$114K - $137K/yr

Data Engineering Full Stack Location: Bloomfield, CT (remote as of now but have to relocate once client resume) Data Engineer The candidate will act as a technical architect/developer for major ...

GCP Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required) Employment Type: Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to ...

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 ...

AI and Data Science Engineer III

Hartford, CT ยท On-site +1

$115K - $138K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

GenAI Data Engineer

Hartford, CT ยท Remote

$117K - $140K/yr

GenAI Data Engineer Company: Tiger Analytics Inc. Location: Hartford, CT Remote: Remote Salary: $117.20K - $140.70K/yr (Estimated pay) Type: Full-time Posted: 8 hours ago Tiger Analytics is seeking ...

Data Strategy-Manager

Hartford, CT ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Sr. Data Engineer

Simsbury, CT

$116K - $139K/yr

We are seeking a skilled and motivated Sr Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and optimizing data pipelines and ETL processes ...

AI Data Engineer - Manager

Hartford, CT

$115K - $138K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

Data Governance- Manager

Hartford, CT ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

GenAI Data Engineer

Hartford, CT ยท Remote

$117K - $140K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

GenAI Data Engineer

Hartford, CT ยท On-site +1

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

GenAI Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

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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 5, 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 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 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 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

Amicis Global

Hartford, CT โ€ข On-site

$70 - $80/hr

Contractor

Posted 5 days ago


Job description

Title:ย Data Engineer
Location:ย Hartford Insurance Group, CT, 06155
Duration: 6+ Months
Pay: $70-$80/hr on W2ย 
ย 
Job Description: Key Responsibilities
Serve as subject matter expert and/or technical lead for large-scale data products.
Drive end-to-end solution delivery across multiple platforms and technologies, leveraging ELT solutions to acquire, integrate, and operationalize data.
Partner with architects and stakeholders to define and implement pipeline and data product architecture, ensuring integrity and scalability.
Communicate risks and trade-offs of technology solutions to senior leaders, translating technical concepts for business audiences.
Build and enhance data pipelines using cloud-based architectures.
Design simplified data models for complex business problems.
Champion Data Engineering best practices across teams, implementing leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments.
Operate independently while fostering a collaborative, transformation-focused mindset.
Work effectively in a lean, fast-paced organization, leveraging Scaled Agile principles.
Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value.
ย 
Qualifications:
5+ years of data engineering experience.
2+ years developing and operating production workloads in cloud infrastructure.
Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.
Hands-on experience with Snowflake (including SnowSQL, Snowpipe).
Expert-level skills in AWS services, Snowflake, Python, and Spark (certifications are a plus).
Proficiency in ETL tools such as Talend and Informatica.
Strong knowledge of Data Warehousing (modeling, mapping, batch, and real-time pipelines).
Experience with DataOps tools (GitHub, Jenkins, UDeploy).
Familiarity with P&C Commercial Lines business.
ย 
Knowledge of legacy tech stack: Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, and Shell scripting.
Experience using Agile tools like Rally.
Excellent written and verbal communication skills to interact effectively with technical and non-technical stakeholders
Staff Data Engineer
Hands-on experience in Snowflake
Primary skill set is Snowflake
Hybrid position - 3 days in the office in Hartford or Charlotte
Must be prepared for an in-person interviewย 
Data mapping and data modeling
Coordinate with stakeholders and understand how the new model in Snowflake will look
Putting together a new agile team of 5 to 6 people
Red flag on resume: if they have all the technologies, primarily looking for someone able to explain what they worked on and what challenges they faced
Insurance experience is an added advantage; I would choose someone with P&C experience over someone without
Coding assessment in interview: SQL, Snowflake