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Contract Databricks Data Engineer Jobs in Secaucus, NJ

Data Engineer

Manhattan, NY ยท On-site

$126K - $151K/yr

We are seeking a Databricks ETL Developer with hands-on experience in building scalable ETL ... Required Skills * 5+ years of experience in Data Engineering and ETL development. * Hands-on ...

New

Data Engineer (Contract) (Remote)

Manhattan, NY ยท 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 ...

Sr. Data Engineer with ML

New York, NY ยท 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 ...

Data Engineer - Remote

Manhattan, NY ยท 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 ...

Data Engineer

New York, NY ยท 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.

Sr. Product Manager - Technical

Manhattan, NY ยท 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 ...

... 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 ...

... 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 ...

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

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

Data Engineer

Jersey City, NJ ยท On-site

$75/hr

DOE : We are seeking a hands-on Data Engineer with strong experience in building scalable ... Experience with orchestration and workflow tools (e.g., Airflow, Databricks Workflows, Snowflake ...

Data Engineer

Jersey City, NJ ยท 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 ...

Data Engineer

Manhattan, NY ยท On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months ... Databricks experience preferred.

Azure Data Engineer

Iselin, NJ ยท 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 ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Showing results 21-40

Contract Databricks Data Engineer information

See Secaucus, NJ salary details

$45.2K

$131.9K

$180.5K

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

As of Aug 6, 2026, the average yearly pay for contract databricks data engineer in Secaucus, NJ is $131,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $139,800.00 per year, depending on experience, location, and employer.

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.

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 the most commonly searched types of Databricks Data Engineer jobs in Secaucus, NJ? The most popular types of Databricks Data Engineer jobs in Secaucus, NJ are:
What are popular job titles related to Contract Databricks Data Engineer jobs in Secaucus, NJ? For Contract Databricks Data Engineer jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Secaucus, NJ look for? The top searched job categories for Contract Databricks Data Engineer jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Contract Databricks Data Engineer jobs? Cities near Secaucus, NJ with the most Contract Databricks Data Engineer job openings:
Infographic showing various Contract Databricks Data Engineer job openings in Secaucus, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,881 per year, or $63.4 per hour.

Data Engineer

SN Cloud Solutions

Manhattan, NY โ€ข On-site

$126K - $151K/yr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Description

We are seeking a Databricks ETL Developer with hands-on experience in building scalable ETL pipelines using the Databricks platform. The ideal candidate should have strong expertise in Spark, SQL, Python, cloud data engineering, and modern data warehousing concepts. A Databricks Certification is highly preferred.

Required Skills

  • 5+ years of experience in Data Engineering and ETL development.
  • Hands-on experience with Databricks and Apache Spark (PySpark).
  • Strong experience designing and developing ETL/ELT pipelines.
  • Expertise in Python, SQL, and Spark SQL.
  • Experience with Delta Lake, Unity Catalog, and Delta Live Tables (DLT).
  • Experience with Azure Databricks, AWS Databricks, or Databricks on Google Cloud Platform.
  • Knowledge of Data Lake, Data Warehouse, and Medallion Architecture.
  • Experience integrating data from relational databases, APIs, flat files, and cloud storage.
  • Strong understanding of data modeling, partitioning, optimization, and performance tuning.
  • Experience with orchestration tools such as Azure Data Factory (ADF), Apache Airflow, or similar.
  • Familiarity with Git, CI/CD pipelines, and Agile methodologies.
  • Excellent troubleshooting and analytical skills.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks.
  • Process large-scale structured and unstructured datasets using PySpark.
  • Develop optimized Spark jobs for batch and incremental data processing.
  • Build and maintain Delta Lake tables for reliable data storage.
  • Perform data validation, cleansing, and transformation activities.
  • Optimize Databricks workloads for performance and cost efficiency.
  • Collaborate with Data Architects, Analysts, and Business teams to deliver data solutions.
  • Implement data quality checks and monitoring processes.
  • Support production deployments and resolve data pipeline issues.
  • Document ETL processes and technical designs.

Preferred Qualifications

  • Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional.
  • Experience with Azure Data Factory (ADF), Snowflake, Azure Synapse, or Microsoft Fabric.
  • Experience with Kafka, Event Hubs, or other streaming technologies.
  • Knowledge of Power BI, Tableau, or other BI tools.
  • Exposure to DevOps and Infrastructure as Code (Terraform) is a plus.