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Contract Databricks Developer Jobs in Ridgefield Park, NJ

NR Consulting

Azure Databricks Architect

Jersey City, NJ · On-site

$66.25 - $86.25/hr

Contract Duration: Long Term Mandatory Skill * zure Data Architect Experience * Synapse to ... More than 10+ years of relevant experience in data engineering tools like Azure Data pipelines ...

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 ...

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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 1, 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:
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Contract Databricks Developer jobs near you
Azure Hyperscale SQL & Databricks Engineer

Azure Hyperscale SQL & Databricks Engineer

Accord Technologies Inc.

Weehawken, NJ • On-site

$59.75 - $74.25/hr

Contractor

Posted 18 days ago

Job description

Job Title: Azure Hyperscale SQL & Databricks Engineer
Location: Weehawken, NJ (onsite)
Duration: 12 months
Job Type: W2 contract
 
 
We are seeking an experienced Azure Hyperscale SQL & Databricks Engineer to join our Cloud Data Engineering team in Weehawken, NJ.
In this role, you will design, build, and optimize large-scale data solutions on Microsoft Azure, with a focus on Azure SQL Hyperscale, Databricks, and PySpark.
You will collaborate with data scientists, analysts, and other engineers to deliver high-performance, secure, and scalable data platforms that drive business insights and decision-making
 
Required Skills & Experience

  • Design & Development:

    • Architect, deploy, and manage Azure SQL Hyperscale databases for high availability and performance.

    • Develop and optimize Databricks workflows (PySpark, Delta Lake) for large-scale data processing and analytics.

    • Implement data pipelines (ETL/ELT) using Azure Data Factory, Synapse Analytics, and Databricks.

    • Automate infrastructure deployment using Terraform, ARM templates, or Bicep.

  • Performance & Optimization:

    • Tune SQL queries, indexing strategies, and partitioning for Azure SQL Hyperscale.

    • Optimize Spark jobs (Databricks) for efficiency and cost-effectiveness.

    • Monitor and troubleshoot performance bottlenecks in data pipelines.

  • Security & Compliance:

    • Implement RBAC, encryption, and data masking in Azure and Databricks.

    • Ensure compliance with UBS data governance and regulatory policies.

  • Collaboration & Leadership:

    • Work with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.

    • Mentor junior engineers and promote best practices in cloud data engineering.

  • 5+ years of hands-on experience with Azure data services (SQL Hyperscale, Databricks, Synapse, Data Factory).

  • Strong expertise in SQL, PySpark, and Python for data processing.

Preferred Qualifications

  • Azure certifications (e.g., Azure Data Engineer, Azure Solutions Architect).

  • Experience in financial services or regulated industries.

  • Familiarity with machine learning workflows in Databricks

  • Experience with big data architectures (Delta Lake, Parquet, distributed computing).

  • Proficiency in IaC tools (Terraform, ARM/Bicep) and CI/CD (Azure DevOps).

  • Knowledge of data security, networking, and compliance in financial services.

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.