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Contract Databricks Developer Jobs in New York (NOW HIRING)

Senior Data Engineer

Iselin, NJ · On-site

$107K - $146K/yr

W2 contract We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake, Python, Pyspark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a ...

PySpark Developer

New York, NY · On-site

$53.50 - $69/hr

NYC (Hybrid - 3 days in a week) Type: Long Term Contract Our Challenge: We are seeking a Pyspark ... Proven experience working with Azure Cloud services (Azure Data Factory, Azure Databricks, etc.

Contract * Design, develop, and implement statistical models and machine learning solutions to ... Develop and optimize mathematical models using Linear Programming and Mixed Integer Programming.

Senior Data Analyst

Irvington, NY · On-site

$89K - $112K/yr

... Contract Mode of Interview: F2F Organization: Digital Products & Demo Projects - Customer Energy ... • Databricks Certified Data Engineer Associate (must obtain once hired) • Google Cloud ...

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Contract Job Summary We are seeking a Senior Data Architect to design, implement, and optimize ... Architect and optimize cloud-based data platforms including Azure, AWS, Snowflake, and Databricks.

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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 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, 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 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:
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What cities in New York are hiring for Contract Databricks Developer jobs? Cities in New York with the most Contract Databricks Developer job openings:

Sr. Data Engineer (Contract to Perm)

Locality

Manhattan, NY • On-site

$75 - $100/hr

Other

Medical, Retirement, PTO

Posted 15 days ago


Job description

Locality is seeking a Senior Data Engineer whom will serve as the primary internal owner of our Audience Engine, spanning data ingestion, identity resolution, automation, and AI enablement. This role emphasizes hands on platform stewardship today, with a clear path to supporting future expansion of the HH Identity Graph and applied AI use cases. 

  • Establish and own technical management of the Audience Engine, transitioning knowledge from external partners and building a scalable, internally managed data platform
  • Reduce reliance on third-party vendors while maintaining high standards for platform reliability, uptime, and data integrity across all pipelines and integrations
  • Architect, own, and continuously optimize Databricks Bronze → Silver → Gold pipelines to support large scale audience ingestion, enrichment, and activation workflows
  • Ensure the platform is scalable and cost efficient through effective pipeline optimization and resource management
  • Proactively monitor, troubleshoot, and resolve ingestion failures, schema drift, and data quality issues across batch and near real time data pipelines
  • Lead identity resolution across datasets including HHID, DSID, MAID, IP, and campaign logs, improving matching logic to strengthen the Household Identity Graph
  • Guarantee accurate and timely audience publication by maintaining robust downstream data delivery processes and SLAs across activation platforms and partners
  • Own and maintain integrations with external data and activation partners (e.g., Experian, FreeWheel, DSPs), ensuring seamless data exchange and operational reliability
  • Partner cross functionally with Product, Analytics, and Ad Operations teams to onboard new data sources and activation endpoints, enabling new use cases and revenue opportunities
  • Support and operationalize applied AI/ML workflows within Databricks, including integration with tools like Akkio, and translate business needs into production-ready data features and datasets
  • Design and implement scalable data models and query-ready datasets that power BI reporting, audience insights, and predictive modeling, ensuring alignment with downstream analytics requirements
  • Enforce data governance, lineage, and documentation standards while ensuring compliance with privacy, consent, and data usage regulations across all audience and identity data systems
  • 6+ years of experience as a Data Engineer or Data Platform Engineer, ideally within advertising
  • Strong hands on experience with Databricks, Spark, and modern cloud data platforms
  • Proven experience designing and maintaining multi-layered data architectures (Bronze / Silver / Gold)
  • Deep expertise in SQL and proficiency in Python or another scripting language
  • Experience working with identity graphs, audience data, and complex join logic across large datasets
  • Hands on experience building and managing automated data pipelines and third-party data integrations
  • Familiarity with adtech, martech, or audience activation platforms, including exposure to identity providers such as Experian or similar vendors
  • Practical experience supporting AI/ML workflows or AI-enabled analytics, with an understanding of data quality, schema design, and performance optimization in cloud-scale environments

Compensation for the role includes a competitive base salary in the range from $75-$100/hr (dependent on years of experience, level of education obtained, as well as applicable skillset), and an excellent benefits package (including but not limited to health care benefits, retirement benefits and paid days off).  

At Locality, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Locality values and solicits applications from all qualified candidates without regard to actual or perceived race, creed, color, religion, sex, gender, age, physical or mental disability, medical condition, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, military or veteran status, genetic information, or any other basis protected by federal, state, or local law.