1

Contract Databricks Data Engineer Jobs in Belleville, NJ

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and ... Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs * GCP: BigQuery ...

Senior Data Engineer (Databricks)

Manhattan, NY · On-site

$116K - $158K/yr

Senior Data Engineer (Databricks) Location: NYC, NY & Seattle, WA (Hybrid) Project description We are seeking a seasoned professional whose role sits at the intersection of platform engineering, data ...

Data Engineer

Edison, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

AI DATA ENGINEER

New York, NY · On-site

$125K - $150K/yr

... and SQL Strong Databricks & Apache Spark Machine Learning lifecycle: training, deployment ... Contract opportunities, interview tips, and hiring updates. #Hiring #NowHiring #AIDateEngineer ...

New

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 ...

Sr. Data engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Role: Data engineer- Databricks Location: Rutherford, NJ • Good decision-making and problem-solving skills • Solid understanding of Databricks fundamentals/architecture and have hands on ...

Data Engineer

Manhattan, NY · On-site

$150 - $200/hr

We are looking for a highly skilled Data Engineer to join our Data Governance Team. The ideal ... Design and develop scalable data pipelines using Databricks, ensuring efficient data processing and ...

Data Engineer

Manhattan, NY · On-site

$155K - $170K/yr

We are looking for a highly skilled Data Engineer to join our Data Governance Team. The ideal ... Design and develop scalable data pipelines using Databricks, ensuring efficient data processing and ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data ... SQL * Databricks, Collibra, and/or Alteryx. * Familiarity with cloud-based data platforms ...

Showing results 21-40

Contract Databricks Data Engineer information

See Belleville, NJ salary details

$45.3K

$131.9K

$180.5K

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

As of Sep 7, 2026, the average yearly pay for contract databricks data engineer in Belleville, NJ is $131,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $139,800.00 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 are the most commonly searched types of Databricks Data Engineer jobs in Belleville, NJ?

The most popular types of Databricks Data Engineer jobs in Belleville, NJ are:

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

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

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

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

Data Engineer (Contract) (Remote)

Cloudacio

Manhattan, NY • Remote

$126K - $151K/yr

Contractor

Re-posted 3 days ago


Job description

About Cloudacio:

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.
Role Overview:

We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and optimizing data pipelines, implementing big data solutions, and contributing to our advanced cloud-based projects. The candidate should be versatile in various data engineering technologies and methodologies, capable of working independently as well as collaboratively in a remote team environment. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.
Key Responsibilities:
  • Design, build, and optimize data pipelines, architectures, and data sets.
  • Work with big data technologies to solve complex data processing challenges.
  • Implement ETL processes and data warehousing solutions.
  • Attend meetings, providing pre-sales support and technical insights.
  • Collaborate with cross-functional teams to integrate data solutions into broader projects.
  • Engage in cloud-based data solutions using AWS, Azure, or GCP.
  • Ensure data integrity, efficiency, and scalability in all solutions.
Core Skills:
  • Strong proficiency in Python
  • Experience with SQL and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
  • Expertise in ETL processes and tools.
  • Proficiency in one or more cloud platforms: AWS, Azure, or GCP, with specific technologies including:
  • AWS: Glue, Redshift, EMR, Lambda, S3, Kinesis, Athena
  • Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs
  • GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
  • Familiarity with big data tools like Hadoop, Spark, or Airflow.
  • Experience with Snowflake for cloud data warehousing.
  • Strong problem-solving skills and attention to detail.
  • Excellent English communication skills for client-facing roles and technical discussions.
  • Previous consulting or startup environment experience.
  • Ability to independently handle customer interactions and lead projects.

Desired Skills:
  • Experience with Looker, PowerBI, Tableau, or Grafana for data visualization.
  • Experience with machine learning and analytics.
  • Familiarity with containerization technologies like Docker, Kubernetes, and Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
  • Knowledge of API development and integration.
  • Experience with streaming technologies such as Kafka or Flink.
  • Understanding of data privacy and compliance regulations (e.g., GDPR, HIPAA).

What We Offer:
  • Flexible work arrangements to accommodate project needs and personal preferences.
  • Growth potential in a dynamic environment focusing on AI and cloud technologies.
  • A culture that values innovation, communication, and proactive problem-solving.
  • Opportunity to work on innovative projects with significant real-world impact.
Employment Type: CONTRACTOR