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Contract Databricks Developer Jobs in Connecticut

Pho Prime, LLC

Data Architect

Shelton, CT · On-site

$64 - $82.25/hr

... contract enforcement as core architecture practices. * Serve as the technical authority for data ... Mentor data engineers and architects on Databricks best practices and modern data architecture ...

Subway

Sr. Mgr, Insights Engineering

Shelton, CT

Partner with Data and Platform Engineering on the API and data contracts behind the applications ... Databricks, Snowflake, or BigQuery. Experience with mobile release engineering at scale Fastlane ...

New

Subway

Sr. Mgr, Insights Engineering

Shelton, CT · On-site

$158K - $198K/yr

Partner with Data and Platform Engineering on the API and data contracts behind the applications ... as Databricks, Snowflake, or BigQuery. Experience with mobile release engineering at scale ...

New

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Contract Databricks Developer information

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 are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

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 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 Connecticut?

The most popular types of Databricks Developer jobs in Connecticut are:

What are popular job titles related to Contract Databricks Developer jobs in Connecticut?

For Contract Databricks Developer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Developer jobs in Connecticut look for?

The top searched job categories for Contract Databricks Developer jobs in Connecticut are:

What cities in Connecticut are hiring for Contract Databricks Developer jobs?

Cities in Connecticut with the most Contract Databricks Developer job openings:

Contract Databricks Developer jobs near you

Senior SDET ETL & Databricks Testing

Shelton, CT • On-site

Oraapps Inc
IT Services • 51 - 200 employees
Learn more about Oraapps Incexternal

Other

Posted 2 days ago

New

Job description

Job Title - Senior SDET – ETL & Databricks Testing

Location: Shelton, CT

Work Arrangement: Hybrid – 4 days onsite per week

Duration: 6–12 months contract

Mode of Interview - Video followed by Inperson 

Note - This is a W-2 position, and we welcome candidates requiring H-1B transfer sponsorship to apply. No third-party vendors.

Job Summary

We are seeking a Senior SDET / Testing & Automation Engineer with strong expertise in ETL, Data Warehouse Testing, and Databricks. The ideal candidate will serve as the SME for ETL and Databricks testing as the organization transitions its data platform from Matillion to Databricks.

The candidate should have 8–10+ years of overall QA/SDET experience, including 4–6+ years of hands-on ETL/Data Warehouse testing.

Key Responsibilities
  • Serve as the ETL/Databricks Testing SME for the migration from Matillion to Databricks.
  • Design and execute comprehensive ETL and Data Warehouse testing strategies.
  • Validate data pipelines, transformations, mappings, data loads, and business rules.
  • Perform source-to-target data validation and reconciliation across systems.
  • Develop and execute automated testing frameworks for ETL and data pipelines.
  • Test Databricks data pipelines, notebooks, workflows, Delta Lake, and SQL-based transformations.
  • Validate data quality, completeness, accuracy, integrity, and performance.
  • Perform backend/database testing using complex SQL queries.
  • Identify, troubleshoot, and resolve data discrepancies and pipeline failures.
  • Collaborate with Data Engineers, Developers, Business Analysts, and other QA team members.
  • Develop test plans, test cases, automation scripts, and testing documentation.
  • Support regression, integration, system, and end-to-end testing.
  • Provide technical guidance and best practices for ETL and Databricks testing.
Required Skills
  • 8–10+ years of experience in Software Quality Assurance/SDET.
  • 4–6+ years of hands-on ETL/Data Warehouse Testing.
  • Strong experience with Databricks and testing Databricks-based data pipelines.
  • Strong understanding of ETL/ELT concepts and Data Warehousing.
  • Experience testing Matillion or similar ETL tools is highly preferred.
  • Strong SQL skills for data validation and reconciliation.
  • Experience with data pipeline and backend testing.
  • Strong experience with test automation and SDET practices.
  • Experience with data quality, data integrity, transformation, and reconciliation testing.
  • Strong analytical and troubleshooting skills.
  • Excellent communication and collaboration skill

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