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Contract Databricks Developer Jobs in New York (NOW HIRING)

PTR Global

Databricks Data Engineer

Manhattan, NY · On-site

$60 - $75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Contract Job ID: 178866 Job Overview: We are seeking a skilled and experienced Applications ... Developer to join our team in New York, New York. The ideal candidate will be responsible for ...

Saransh Inc

Onshore Python Developer - Only W2

Warren, NJ · On-site

$52.25 - $72/hr

W2 Contract Project Description: The goal of this project is to develop a web application on top of ... Integrate the application with cloud data platforms such as Databricks or comparable analytics/data ...

Accord Technologies Inc.

Sr. Data Engineer with ML

New York, NY · On-site

$125K - $150K/yr

W2 contract Data Engineer with Python and hands on experience using MLFlow - the project is to set ... The ideal candidate will have experience working with MLflow, Databricks, and open-source machine ...

Mondo

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Remote (EST hours preferred) Duration: 4 Month Contract (through end of 2026) Pay Range: $70-80 ... Build and maintain dbt models as part of the new Databricks-based data architecture * Support Data ...

Brooksource

Product Analytics Engineer

Manhattan, NY · On-site

$60 - $75/hr

You will join a 5-person contract team augmenting the Product Analytics & Experimentation ... Implement metric, cohort, and segment definitions in the Databricks Metrics View on Unity Catalog ...

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All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in New York

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 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 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 the most commonly searched types of Databricks Developer jobs in New York?

The most popular types of Databricks Developer jobs in New York are:

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

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

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

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

What cities in New York are hiring for Contract Databricks Developer jobs?

Cities in New York with the most Contract Databricks Developer job openings:

Contract Databricks Developer jobs near you

Project Manager/Product Owner with Databricks/AWS

ITECS

Jersey City, NJ • On-site

Other

Re-posted yesterday

Job description

Role: Technical Project Manager/Product Owner - Databricks/AWS Data Platform

Location: New Jersey, NJ

Work Schedule: Hybrid (2, 3 days a week in office)

Type of Position: Contract

Job Description: As a TPM/Product Owner, this position requires candidate who are enthusiastic about specialized skills in managing enterprise initiative by building data platforms in Data engineering area having DataBricks/AWS platforms. As a member of the team, should help our clients progress on their Data and Analytics journey.

Key Result Areas and Activities:

Driving Data Engineering Initiatives working with client Product and Business teams:

  • Work with clients to understand and define the data initiatives based on business needs
  • Review all project architectures/codes and contribute towards the development of the project delivery

Drive the Project & Technical Team:

  • Work with client to gather the data/business requirements
  • Provide required technical support to development team while delivering the code/project
  • Manage end to project deliverables as technical lead/spoc for client and Infocepts

Collaboration and Communication for Account Growth:

  • Work closely with cross-functional teams to gather requirements and translate them into technical specifications.
  • Collaborate seamlessly with clients across multiple geographies.

Performance Tuning and Optimization:

  • Conduct performance tuning and optimization of queries and data models.
  • Optimize data workflows for efficiency and scalability.

Problem Solving and Troubleshooting:

  • Troubleshoot and resolve data-related issues.
  • Apply strong analytical and problem-solving abilities to ensure data quality.

Work and Technical Experience:

Must haves:

  • Must have strong D&A background with core skills such as SQL, data engineering, analytics etc.
  • Project delivery expertise on data engineering, data migration, data foundation buildout and data analytics using BI tools like Tableau, Power BI
  • Client stakeholder management for account farming and growth mindset
  • Study existing technology landscape and understand current data landscape, framework and do

impact assessment for the requirements

  • Communication with business users to understand the requirements. Able to convert the business requirements into technical requirements like a BA
  • Strong appreciation of data engineering platforms and their capabilities - DataBricks
  • Strong experience in anchoring and delivering efficient and scalable solutions (like data engineering, data migration, data foundation buildout and data analytics using BI tools like Tableau, Power BI) to support key client initiatives
  • Good understanding of core D&A stack - AWS services, PySpark, Lambda, S3

Good to have

  • Knowledge on AI Frameworks, LLMs, Basics of Data Science
  • Media domain
  • Understanding of data modelling concepts, including relational and dimensional modelling
  • Good analytical skill to perform data analysis
  • Should have BI knowledge to understand the analytics needs of business users
  • Experience on any BI tools like Microstrategy, Power BI

Qualifications:

  • 10-14 years of experience to Design and develop efficient and scalable data integration/engineering solutions to support our organization's data analytics and reporting needs.
  • Technical certifications that attribute to continuous learning aspirations.

Apply