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Contract Databricks Developer Jobs in Connecticut

Pho Prime, LLC

Data Architect

Shelton, CT · On-site

$120 - $190/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 ...

New

Subway

Data Architect

Shelton, CT

$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 ...

Deloitte

Senior Data Engineer

Hartford, CT · Hybrid

$106K - $145K/yr

Databricks (Delta Lake, Unity Catalog, Workflows) * Apache Airflow * Git / Azure DevOps * Deep ... Collaborate with different teams on data contracts and schema agreements * Lead design and ...

Deloitte

Senior Data Engineer

Stamford, CT · Hybrid

$113K - $153K/yr

Databricks (Delta Lake, Unity Catalog, Workflows) * Apache Airflow * Git / Azure DevOps * Deep ... Collaborate with different teams on data contracts and schema agreements * Lead design and ...

Accenture

Data & AI Technology Sales Director

Hartford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 2 years of experience in selling Snowflake and/or Databricks platforms. * Minimum of 5 ... Strong Ecosystem selling experience with AI led Data engineering transformational programs. What ...

Accenture

Data & AI Technology Sales Director

Hartford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 2 years of experience in selling Snowflake and/or Databricks platforms. * Minimum of 5 ... Strong Ecosystem selling experience with AI led Data engineering transformational programs. What ...

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All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Connecticut

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 Python Backend Developer

Innovative Information Technologies, Inc

East Hartford, CT • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

ONLY W2, NO C2C
Senior Python Backend Developer
Location: East Hartford, CT (REMOTE)
6 months contract

Relevant Experience: 9+ Years

We are seeking an experienced Python Developer with 9+ years of experience in designing, developing, and maintaining modern, data-driven applications.
The ideal candidate will have strong expertise in Python development, API development, SQL programming, and cloud-based application development.
This role focuses on building scalable backend services, integrating data platforms, and collaborating with cross-functional teams to deliver high-quality enterprise solutions in an Agile environment.

Job Responsibilities:
Design, develop, and maintain scalable applications using Python and modern backend frameworks.
Develop and enhance Python APIs and microservices to support enterprise applications.
Write, optimize, and maintain complex SQL scripts for data processing and application integration.
Build and consume RESTful APIs while implementing secure authentication mechanisms.
Collaborate with frontend developers to integrate backend services with React-based applications.
Develop and optimize data processing solutions using Databricks, PySpark, and SQL where applicable.
Participate in the complete Software Development Life Cycle including design, development, testing, deployment, and maintenance.
Work with Azure cloud services and Azure Synapse to build and support cloud-native applications.
Contribute to CI/CD pipeline implementation and deployment automation.
Collaborate with cross-functional teams in an Agile environment, participate in code reviews, troubleshoot production issues, and ensure application performance, scalability, and reliability.

Primary Skills (Must Have)
Python.
Python API Development.
SQL.
FastAPI or Flask.
React.
JavaScript.
HTML5.
CSS3.
Databricks.
PySpark.
Azure.
REST APIs.
Microservices.
Git.
CI/CD.
Agile Methodology.

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