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Databricks Developer Jobs in Massachusetts (NOW HIRING)

Prophecy Technologies

Databricks Developer (Java)

Boston, MA · On-site

$55.50 - $71.75/hr

We are seeking a Databricks Developer with strong Java expertise to design, build, and maintain large-scale data processing solutions and AI/ML platforms. The role focuses on developing scalable data ...

Transcend Softech LLC

Databricks Engineer

Boston, MA · On-site

Databricks Engineer Location: Boston, MA Long Term Contract * Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design * Overall experience 7 to 8 years in Scala-Spark ...

Infosys

Databricks Engineer

Boston, MA · On-site

As a Databricks Engineer, you will contribute to software application design, coding, and quality assurance, while collaborating with cross-functional teams to enhance system reliability and ...

Deloitte

Sr Databricks Data Engineer

Boston, MA

$124K - $149K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Databricks

Sr. Solutions Engineer - MFG

Boston, MA · On-site

$60 - $77.50/hr

Databricks is the data and AI company, and they are seeking a Sr. Solutions Engineer to help large enterprises become more data-driven. This role involves defining and directing the technical ...

Deloitte

Databricks Data Engineer

Boston, MA

$124K - $149K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Databricks

Sr. Solutions Engineer - MFG

Boston, MA · On-site

$152K - $209K/yr

You align technical strategies around Databricks solutions. * You work with your sales team and technical peers to drive business outcomes for our clients What we look for: * Proficiency at ...

Deloitte

Databricks Manager

Boston, MA · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

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How much do databricks developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for databricks developer in Massachusetts is $67.16, according to ZipRecruiter salary data. Most workers in this role earn between $60.38 and $74.28 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

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Databricks Developer jobs near you

AWS Databricks Developer

Purple Drive Technologies

Boston, MA • On-site

Full-time

Posted 6 days ago

Job description

Overview:
AWS Databricks Developer
Location: Boston, MA (Onsite)
Type: Contract
Role Overview
We are seeking a highly experienced AWS Databricks Developer with strong expertise in cloud-based development, big data engineering, and advanced data modeling. The ideal candidate will have a proven track record in building scalable data pipelines, integrating AWS cloud services with Databricks, and driving solutions in an agile environment.
Key Responsibilities
  • Design, develop, and optimize data engineering pipelines using Databricks on AWS.
  • Implement data integration solutions leveraging AWS cloud services.
  • Build scalable and reliable data models using PySpark, Spark, and SQL.
  • Develop solutions using Java, J2EE, Python, and Scala for complex data workflows.
  • Write and optimize complex SQL queries for data extraction, transformation, and analysis.
  • Collaborate with cross-functional teams in an Agile delivery environment.
  • Apply DevOps best practices with tools like Jenkins, Git, and CI/CD pipelines.
  • Troubleshoot performance bottlenecks and ensure high-quality, reliable data solutions.
  • Provide technical leadership and contribute to architectural discussions.
Required Skills & Experience
  • 10+ years of overall IT experience.
  • 5+ years of hands-on experience with Databricks development on AWS Cloud.
  • Strong expertise in Java, J2EE, Python, and Scala.
  • Solid understanding of Big Data frameworks, Data Modeling, and PySpark.
  • Deep knowledge of Apache Spark technologies for building data pipelines.
  • Strong proficiency in complex SQL queries and query optimization.
  • Experience with Agile methodologies and team collaboration tools.
  • Exposure to DevOps practices including CI/CD pipelines, Jenkins, and Git.
  • Excellent communication and problem-solving skills.
Tech Stack
  • Cloud: AWS (S3, Lambda, Glue, EMR, etc.)
  • Data Engineering: Databricks, PySpark, Spark, Scala
  • Programming: Java, J2EE, Python
  • Database: SQL (Advanced, Complex Queries)
  • Tools: Jenkins, Git, CI/CD

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