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Contract Databricks Data Engineer Jobs in Edison, NJ

Deloitte

Sr Databricks Data Engineer

Manhattan, NY · On-site

$126.10K - $151.40K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Deloitte

Sr Databricks Data Engineer

Morristown, NJ · On-site

$118.20K - $142K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Deloitte

Sr Databricks Data Engineer

New York, NY

$125.30K - $150.40K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Deloitte

Sr Databricks Data Engineer

Morristown, NJ

$117.80K - $141.50K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

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 ...

GEI Consultants

Data Engineer

New York, NY · On-site

$125.30K - $150.40K/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 ...

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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 May 29, 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 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.

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.
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Contract Databricks Data Engineer jobs near you
Databricks Data Engineer

Databricks Data Engineer

Recruit Professional Services

Bedminster, NJ

$116.80K - $140.30K/yr

Other

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Job description

Databricks Data Engineer
Responsibilities:
  • Assist with leading the team's transition to the Databricks platform and utilize the newer features of Delta Live Tables, Workflows etc.
  • Design and develop data pipelines that extract data from Oracle, load it into the data lake, transform it into the desired format, and load it into Databricks data lakehouse.
  • Optimize data pipelines and data processing workflows for performance, scalability, and efficiency.
  • Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
  • Help create and maintain documentation for data mappings, data definitions, architecture and data flow diagrams.
  • Build proof-of-concepts to determine viability of possible new processes and technologies.
  • Deploy and manage code in non-prod and prod environments.
  • Investigate and troubleshoot data related issues and fix or provide solutions to fix defects.
  • Identify and resolve performance bottlenecks, which could include suggesting ways to optimize and performance tune databases and queries to enhance query performance.

Requirements:
  • Bachelor's Degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field.
  • 4+ years of experience working as a Data Engineer, ETL Engineer, Data/ETL Architect or similar roles.
  • Current/active Databricks Data Engineer/Analyst certification a BIG plus.
  • 3+ years working with Databricks with knowledge and expertise of data structures, data storage and change data capture gained from prior production implementations of data pipelines, optimizations, and best practices.
  • Solid continuous experience in Python.
  • 3+ years of experience in Kimball dimensional modeling (star-schema comprising of facts, type1 and type2 dimensions, aggregates, etc.) with solid understanding of ELT/ETL.
  • 3+ years of solid experience writing SQL and PL/SQL code.
  • 2+ years of experience with Airflow.
  • 3+ years of experience working with relational databases (Oracle preferred).
  • 2+ years of experience working with NoSQL databases: MongoDB, Cosmos DB, DocumentDB or similar.
  • 2+ years of cloud experience (Azure preferred).
  • Experience with CI/CD utilizing git/Azure DevOps.
  • Experience with storage formats including Parquet/Arrow/Avro.

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