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Contract Databricks Developer Jobs in Massachusetts

Transcend Softech LLC

Databricks Engineer

Boston, MA · On-site

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 data engineering and Data ...

Kanak Elite Services Inc

Java Developer

Boston, MA · On-site

$55.50 - $71.75/hr

Boston, MA (Hybrid) - Local MA candidates only Duration : Long term contract Job Responsibilities ... Databricks for analytics and transformation tasks. · Develop, optimize, and maintain solutions ...

Harley Ellis Devereaux

AI Platform Developer

Boston, MA · On-site

$120K - $170K/yr

... contracts--versioned, traceable, testable--and implement validation at data boundaries. • ... Databricks/lakehouse + medallion familiarity; experience implementing governance/audit requirements;

GEI Consultants

Data Engineer

Wakefield, MA · On-site

$120.70K - $145K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

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Contract Databricks Developer information

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the most commonly searched types of Databricks Developer jobs in Massachusetts? The most popular types of Databricks Developer jobs in Massachusetts are:
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What cities in Massachusetts are hiring for Contract Databricks Developer jobs? Cities in Massachusetts with the most Contract Databricks Developer job openings:
Contract Databricks Developer jobs near you

AWS Databricks Developer

Purple Drive Technologies

Boston, MA • On-site

Full-time

Posted 26 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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