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Contract Databricks Developer Jobs in New York (NOW HIRING)

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Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Contract Must have: Databricks, Pyspark, Azure Cloud Services, Asset Bundle Technical Skills ... Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification ...

TMS

Data Engineer - Netezza & DataStage

Edison, NJ · On-site

Data Engineer - Netezza, DataStage, Snowflake & Databricks (2 positions) Location: Remote Duration: 6+ Months Experience: 10+ years Employment Type: Contract Job Summary We are seeking an experienced ...

TMS

Control-M Developer - Data Engienering

Edison, NJ · Remote

$50.50 - $69/hr

Contract Job Summary We are seeking an experienced Control-M Developer with strong Data Engineering ... Integrate Control-M with cloud-native services (S3, ADLS, Lambda, Databricks, etc.) * Use shell ...

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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.
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Contract Databricks Developer jobs near you
Databricks Platform Engineer

Databricks Platform Engineer

Wise Skulls Corp.

Eatontown, NJ

Other

Posted 12 days ago

Job description

It is a W2 Contract Role

We are seeking a highly skilled Databricks Platform Engineer to join existing engineering team. This role is focused on designing, optimizing, and maintaining the Databricks platform and architecture, enabling development teams to efficiently build and deploy data solutions. The ideal candidate will act as a platform expert, ensuring scalability, reliability, governance, and performance of the Databricks ecosystem while supporting developers with best practices, tools, and frameworks.

Key Responsibilities

Platform Engineering & Architecture

  • Design, implement, and maintain Databricks platform architecture to support enterprise-scale data workloads
  • Establish best practices for workspace setup, cluster management, and job orchestration
  • Optimize platform performance, scalability, and cost efficiency
  • Define and enforce standards for data engineering and analytics workloads within Databricks

Developer Enablement

  • Support development teams by providing guidance, documentation, and reusable frameworks
  • Enable developers with CI/CD pipelines, automation, and deployment standards
  • Troubleshoot and resolve platform-related issues impacting development teams
  • Provide technical mentorship and onboarding support to engineers using Databricks

Governance, Security & Compliance

  • Implement and manage data governance, access controls, and security models (Unity Catalog, RBAC, etc.)
  • Ensure compliance with enterprise data policies and regulatory requirements
  • Monitor and audit platform usage, access patterns, and data lineage

Integration & Ecosystem Management

  • Integrate Databricks with cloud platforms (AWS/Azure/Google Cloud Platform), data lakes, and enterprise systems
  • Manage connectivity with tools such as Power BI, APIs, data ingestion frameworks, and orchestration tools
  • Support ingestion and processing frameworks (e.g., batch, streaming, Delta Lake)

Operational Excellence

  • Monitor platform health, performance, and usage metrics
  • Implement automation for provisioning, monitoring, and scaling
  • Drive continuous improvements in platform reliability and developer experience

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
  • 5+ years of experience in data engineering or platform engineering roles
  • 3+ years of hands-on experience with Databricks (architecture, administration, or platform engineering)
  • Strong understanding of distributed data processing (Spark)
  • Experience with cloud platforms (Azure preferred, or AWS/Google Cloud Platform)
  • Knowledge of data lake architecture, Delta Lake, and modern data platforms
  • Experience implementing security, governance, and access control frameworks
  • Familiarity with CI/CD pipelines, DevOps practices, and infrastructure as code (Terraform, etc.)

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