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Contract Databricks Data Engineer Jobs in Brick, NJ

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term ... Design and develop data pipelines using Azure Data Services and Databricks . * Build and optimize ...

IT America Inc

Data Architect

Berkeley, NJ · On-site

$59 - $76/hr

Data Architect Location: Berkeley, NJ (Onsite) Duration: Long term contract Role Description ... Build and optimize high-quality data pipelines (ETL/ELT) using Spark, PySpark, and Databricks.

Spartan Technologies, Inc.

Senior Data Architect

Holmdel, NJ · On-site

$75.25 - $100.50/hr

Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. * Hands on experience designing, building, and optimizing data pipelines ...

PRI Technology

Be Seen First

Technical Business Analyst with Data Analytics Experience

Holmdel, NJ · On-site

$70 - $77/hr

... contract to hire Technical Business Analyst opportunity available for a major firm located in ... and Engineering teams Ensure traceability between business requirements, technical design, and ...

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

Contract Databricks Data Engineer information

See Brick, NJ salary details

$48K

$140K

$191.6K

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

As of Sep 5, 2026, the average yearly pay for contract databricks data engineer in Brick, NJ is $140,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $148,400.00 per year, depending on experience, location, and employer.

What is a contract Databricks data engineer?

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 skills and qualifications are needed to thrive as a contract Databricks data engineer?

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 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.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What job categories do people searching Contract Databricks Data Engineer jobs in Brick, NJ look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Brick, NJ are:

What cities near Brick, NJ are hiring for Contract Databricks Data Engineer jobs?

Cities near Brick, NJ with the most Contract Databricks Data Engineer job openings:

Contract Databricks Data Engineer jobs near you

Azure Data Engineer

Tech Tammina LLC

Hamilton, NJ • On-site

$113K - $136K/yr

Contractor

Re-posted 25 days ago

Job description

Role: Azure Data Engineer

Location: Hamilton, NJ (4 days onsite)

Duration: Long term

Responsibilities

  • Design and develop data pipelines using Azure Data Services and Databricks.
  • Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric.
  • Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage.
  • Support analytics and AI/ML use cases with clean, reliable, and scalable data models.
  • Collaborate with stakeholders to translate business needs into technical solutions.

Required Skills

  • Strong experience in Azure Data Engineering.
  • Hands-on expertise with Databricks, PySpark, Python SQL.
  • Experience with Azure Fabric, Snowflake, and modern data architectures.
  • Solid understanding of cloud data pipelines, performance tuning, and data governance.
  • Strong communication and stakeholder collaboration skills.