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Data Engineer Data Bricks Jobs in Springfield, MA

Cyient

Senior Data Engineer

East Hartford, CT · On-site

$104K - $141K/yr

Job Summary : Cyient is a company focused on providing innovative solutions, and they are seeking a Senior Data Engineer to design and maintain scalable data pipelines. The role involves ...

Pwc

Data Strategy & Governance -Director

Hartford, CT · On-site

$155K - $410K/yr

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

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Data Engineer Data Bricks information

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$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 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

Cyient

East Hartford, CT • On-site

$104K - $141K/yr

Full-time

Posted 8 days ago

Job description

Job Summary:
Cyient is a company focused on providing innovative solutions, and they are seeking a Senior Data Engineer to design and maintain scalable data pipelines. The role involves collaborating with various teams to deliver data solutions, ensuring data quality and compliance, and optimizing data for analytics and reporting.
Responsibilities:
• Design, build, and maintain scalable batch and streaming data pipelines for ingesting and processing large datasets
• Transform, model, and optimize data for analytics, reporting, and downstream applications
• Implement data validation, monitoring, and security controls to ensure data quality, reliability, and compliance
• Contribute to the design and evolution of the data platform with a focus on scalability, performance, and maintainability
• Collaborate with BI, analytics, AI, and product teams to deliver data solutions aligned with business needs
• Develop automated workflows and observability mechanisms to ensure pipeline reliability and system visibility
• Create and maintain documentation for pipelines, data models, and platform components
• Evaluate and improve tools, frameworks, and processes to enhance efficiency and maintainability
Qualifications:
Required:
• Strong experience with Databricks, Apache Spark, and PySpark for large-scale data processing
• Experience building and optimizing data pipelines at scale, including parallelization and performance tuning
• Experience with near real-time or streaming data systems
• Proficiency in Python and SQL for data engineering and transformation workflows
• Experience with ETL/ELT processes and tools
• Hands-on experience with cloud data platforms (Azure, AWS, or GCP)
• Solid understanding of data modeling and dataset design for analytics and downstream applications
• Experience tuning queries and optimizing compute performance
• Knowledge of data governance, security, and compliance practices
• Strong communication skills and ability to work cross-functionally
Preferred:
• Experience with cloud platforms (Azure, AWS, or GCP)
• Experience with vector databases and embedding-based systems
• Experience with streaming frameworks and data quality tools
• Familiarity with knowledge graphs and graph-based data modeling
• Experience with CI/CD pipelines and deployment automation
• Familiarity with BI tools and machine learning pipelines
Company:
Cyient is a digital engineering and technology company specializing in management consulting and engineering services. Founded in 1991, the company is headquartered in Hyderabad, IND, with a team of 10001+ employees. The company is currently Late Stage.

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