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Contract Databricks Data Engineer Jobs in Edison, NJ

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 ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Job Title: Data Engineer location : Princeton, NJ Minimum Mandatory Skills: ADF, Data Bricks ... Develop and optimize data processing workflows in Azure Databricks using PySpark . * Integrate data ...

Trinity Technology Solutions

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Create and manage workflows in Databricks and migrate existing Azure Data Factory pipelines. * Load ... Work with analytics, engineering, and business teams to deliver clean, ready-to-use datasets.

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 ...

Databricks

Sr. Product Manager - Technical

Manhattan, NY · On-site

$183K - $212K/yr

Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA ...

Pwc

Data Engineer - Senior Associate

Florham Park, NJ

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Senior Manager

Florham Park, NJ

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Associate

New York, NY

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Senior Manager

New York, NY

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Staffingine LLC

Oracle Fusion Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Contract * Data Pipeline Development * Design build and optimize robust ETLELT pipelines to ingest ... Databricks Platform Expertise * Leverage Databricks functionalities such as Delta Lake Unity ...

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and ... Hands-on experience with Snowflake, Databricks, Azure, AWS, or GCP. * Strong understanding of data ...

TiltEdge Solutions LLC

Data Engineer

Jersey City, NJ · On-site

$75/hr

DOE : We are seeking a hands-on Data Engineer with strong experience in building scalable ... Databricks · Modular, reusable SQL-based data workflows · Data testing, documentation, and ...

Zortech Solutions

Azure Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Title: Azure Data Engineer Location: Iselin NJ - (3 Days from Office) Experience: 12+ Years ... Design, develop, and deploy Spark program in databricks environment to process and analyze large ...

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Edison, NJ

Contract Databricks Data Engineer information

See Edison, NJ salary details

$46.1K

$134.3K

$183.8K

How much do contract databricks data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for contract databricks data engineer in Edison, NJ is $134,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $142,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
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Contract Databricks Data Engineer jobs near you
Sr. Data Engineer with ML

Sr. Data Engineer with ML

Accord Technologies Inc.

New York, NY • On-site

$125K - $150K/yr

Contractor

Posted 29 days ago

Job description

 Title: Sr. Data Engineer
Location: NYC,NY
Duration: long term
Position type: W2 contract
Job Description

Data Engineer with Python and hands on experience using MLFlow -  the project is to set-up experiments using MLFlow with ability to save artifacts, use MLFlow API's, configure MLFlow and Databrics funcitioning for running experiemnts..

 Job Description:

We are seeking a skilled Hybrid Data Engineer to manage and optimize our machine learning lifecycle across a hybrid environment of on-premises open-source tools and cloud-based platforms.
The ideal candidate will have experience working with MLflow, Databricks, and open-source machine learning frameworks, enabling seamless integration, experiment tracking, model management, and deployment.

Responsibilities:

  • Design, implement, and maintain a hybrid ML infrastructure that connects on-premises open-source tools with cloud platforms like Databricks.
  • Enable experiment tracking, model versioning, and lifecycle management using MLflow integrated with Databricks notebooks.
  • Manage the registration, versioning, and deployment of machine learning models across environments.
  • Collaborate with data scientists and ML engineers to streamline workflows and ensure scalable, reliable model deployment.
  • Configure MLflow servers and APIs to connect securely and efficiently with existing data sources and deployment targets.
  • Optimize data pipelines and model deployment processes for both on-premises and cloud environments.
  • Ensure best practices for reproducibility, security, and scalability in ML workflows.

Qualifications:

  • Proven experience with MLflow, Databricks, and open-source machine learning frameworks.
  • Strong understanding of data engineering, model lifecycle management, and cloud computing.
  • Experience with deploying and managing machine learning models in hybrid environments.
  • Knowledge of Apache Spark, Python, and Linux/Unix systems.
  • Excellent collaboration and communication skills.