ZipRecruiter

Log In

1

Contract Databricks Developer Jobs in Ridgefield Park, NJ

PROLIM Global Corporation

Microsoft Fabric Engineer

Newark, NJ · On-site

$66.50 - $86.50/hr

Tuesday, Wednesday, Thursday) Duration: 6 Months (Contract) Role Overview We are seeking a Senior ... Build and optimize ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, Databricks, and ...

Precision Technologies Corp

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.

Genesis10

Data Engineer - Hybrid

Jersey City, NJ · On-site

$70.23/hr

This is a hybrid 6 month contract opportunity. This role is responsible for building scalable ... The ideal candidate will work with various platforms including DataBricks Medallion Layers, Azure ...

Custom Staffing

Database Cloud Engineer

Manhattan, NY · On-site

$85 - $95/hr

... Contract (Extensions Possible) $85.00-$95.00 Hourly W2 Must be qualified to obtain Level II ... Amazon Redshift Highly Preferred * Databricks * MongoDB / MongoDB Atlas Preferred

Software Guidance & Assistance

Cloud Engineer

Manhattan, NY · On-site

$61.50 - $82.25/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Cloud Engineer for a contract ... Databricks and Mongo Atlas highly preferred * Experience with containerization technologies ...

GEI Consultants

Data Engineer

Manhattan, NY

$90K - $150K/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 ...

Deloitte

Senior Data Engineer

Jersey City, NJ · Hybrid

$110K - $150K/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 ...

GEI Consultants

Data Engineer

New York, NY · On-site

$125K - $150K/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 ...

Deloitte

Senior Data Engineer

Morristown, NJ · Hybrid

$109K - $148K/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 ...

Goldenpick Technologies

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Hybrid 3 days/week in Newark, NJ Duration: 6-month contract to hire Overview: We are seeking ... Experience with Databricks or Spark. * Exposure to Azure or hybrid cloud data ecosystems.

T Rowe Price

Senior Data Scientist

Manhattan, NY · Hybrid

Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog ... Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

T Rowe Price

Sr AI Data Scientist

Manhattan, NY · Hybrid

Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog ... Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

next page

Showing results 1-20

All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Ridgefield Park, NJ

Contract Databricks Developer information

See Ridgefield Park, NJ salary details

$22

$65

$85

How much do contract databricks developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for contract databricks developer in Ridgefield Park, NJ is $65.99, according to ZipRecruiter salary data. Most workers in this role earn between $59.33 and $73.03 per hour, depending on experience, location, and employer.

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 Ridgefield Park, NJ? The most popular types of Databricks Developer jobs in Ridgefield Park, NJ are:
What cities near Ridgefield Park, NJ are hiring for Contract Databricks Developer jobs? Cities near Ridgefield Park, NJ with the most Contract Databricks Developer job openings:
Contract Databricks Developer jobs near you

Principal Backend Engineer

Starcom Mediavest Group Germany Gmbh

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Company Description
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.
Job Description
We are seeking a Principal Backend Engineer (Individual Contributor) to set the technical direction for OneSuite data products and their integration into the broader platform. This is a hands-on principal role: you will write production-grade Python, design cross-repo architecture, lead high-risk technical decisions, and raise the standards other engineers use to build reliable systems.
You will help build the backend and data foundation behind AI-assisted analyst workflows, including agents built with the Claude Agent SDK. That means turning complex marketing data into dependable services, tools, and agent experiences that can answer questions, surface issues, and support campaign decisions securely across clients.
Responsibilities
Architecture & Contracts
  • Own backend and data architecture across marketing data pipelines, connector systems, platform APIs, agent/tool runtimes, product CLIs, and downstream product surfaces.
  • Define durable domain boundaries and data contracts between warehouse outputs, operational sync targets, platform APIs, agent tools, and user-facing workflows.
  • Turn ambiguous platform needs into incremental technical plans that balance reliability, security, tenant isolation, developer experience, and long-term maintainability.

Data & Connector Systems
  • Lead the evolution of Databricks medallion pipelines, including ingestion, normalization, and curated outputs for analytics and product use cases.
  • Guide data quality, schema enforcement, lineage, table documentation, and lakehouse-to-operational-store sync for consumer-facing data.
  • Harden ingestion from external marketing platforms and related APIs, including connector and reconciliation patterns.

Platform Backend & Agent Integration
  • Architect Python backend services across AWS serverless and API paths, storage, authentication, and tenant-scoped access patterns.
  • Shape how platform capabilities are exposed through OneSuite, including streaming workflows, tool permissions, MCP integrations, and stable CLI/API/MCP contracts.
  • Create reusable patterns that can extend across current and future marketing intelligence domains.

Engineering Quality, Reliability & Leadership
  • Write high-quality production code in Python and SQL, and stay close enough to implementation details to unblock difficult design and debugging problems.
  • Set standards for code review, testing, CI/CD, local development, deployment safety, observability, and operational readiness.
  • Design for real failure modes across external marketing APIs, third-party ingestion tools, data platforms, AWS services, tenant configuration, and agent/tool execution paths.
  • Mentor senior engineers through architecture review, pairing, practical standards, and clear written guidance rather than formal people management.

Qualifications
Must Have
  • 10+ years of backend, data platform, or distributed systems engineering experience, including principal-level ownership across multiple services or teams.
  • Expertise in Python backend engineering, API design, service boundaries, async/concurrent systems, SQL, and modern testing practices.
  • Hands-on experience with Databricks, PySpark, lakehouse patterns, and medallion-style data architecture, or equivalent large-scale data pipeline experience.
  • Strong AWS serverless experience, including Lambda, API Gateway, S3, DynamoDB, IAM, CloudFormation/SAM or equivalent infrastructure-as-code tooling.
  • Deep understanding of multi-tenant SaaS design, authentication/authorization, tenant-scoped data access, secrets management, and operational security.
  • Experience designing stable data contracts, CLI/API/MCP contracts, schema evolution patterns, and consumer-facing data models.
  • Proven technical leadership through mentoring, architecture decisions, code review, trade-off communication, and engineering standards without relying on direct authority.

Nice to Have
  • Experience with marketing, advertising, or platform APIs and similar ecosystems.
  • Experience with Fivetran, custom connector development, connector reconciliation, or third-party data ingestion operations.
  • Experience with Delta Lake, Unity Catalog, data governance, data lineage, and lakehouse performance optimization.
  • Familiarity with AI/LLM systems, agentic workflows, MCP-style tool integration, or similar runtime/tooling architectures.

Core Competencies
  • Technical Depth: You reason across backend services, data pipelines, cloud infrastructure, API contracts, and operations, then turn that reasoning into production code and durable architecture.
  • Principal-Level Judgment: You sequence work pragmatically, separate reversible from irreversible decisions, and design systems that can evolve without constant rewrites.
  • Product Impact: You connect architecture to OneSuite outcomes: trustworthy marketing insights, faster analyst workflows, reliable agent behavior, and reusable platform capabilities.
  • Leadership & Collaboration: You raise engineering quality through clear standards, strong reviews, mentoring, written architecture, and crisp communication across product, data, SRE, and engineering teams.

Why Join Us
  • Own principal-level architecture for marketing data products and their integration into a global AI and analytics platform.
  • Work hands-on across Databricks, AWS serverless systems, agent runtimes, data contracts, and high-impact product surfaces.
  • Shape patterns that let OneSuite scale across current and future marketing intelligence domains.
  • Stay close to the code while influencing architecture, engineering standards, and technical direction across multiple teams and repositories.

Additional Information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $135,375.00 - USD $216,684.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/18/2026.

Apply