1

Contract Databricks Data Engineer Jobs in New York

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Contract Must have: Databricks, Pyspark, Azure Cloud Services, Asset Bundle Technical Skills ... Data Pipeline Development: * Build and maintain scalable ETL/ELT pipelines using Databricks.

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 ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Databricks Certified Data Engineer Associate * Microsoft Certified: Azure Fundamentals * Microsoft Certified: Azure Data Engineer Associate * Microsoft Exam: Designing and Implementing Microsoft ...

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 ...

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Data Engineer Location: Hybrid 3 days/week in Newark, NJ Duration: 6-month contract to hire ... Experience with Databricks or Spark. * Exposure to Azure or hybrid cloud data ecosystems.

Data Engineer

Jericho, NY

$115K - $140K/yr

The Data Engineer will play a critical role in designing, building, and scaling Kimco's enterprise ... Databricks is also valued. The role partners closely with business, analytics, and engineering ...

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 ...

Data Engineer

Jericho, NY · On-site

$115K - $140K/yr

The Data Engineer will play a critical role in designing, building, and scaling Kimco's enterprise ... Databricks is also valued. The role partners closely with business, analytics, and engineering ...

next page

Showing results 1-20

Contract Databricks Data Engineer information

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.
What are the most commonly searched types of Databricks Data Engineer jobs in New York? The most popular types of Databricks Data Engineer jobs in New York are:
What are popular job titles related to Contract Databricks Data Engineer jobs in New York? For Contract Databricks Data Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in New York look for? The top searched job categories for Contract Databricks Data Engineer jobs in New York are:
What cities in New York are hiring for Contract Databricks Data Engineer jobs? Cities in New York with the most Contract Databricks Data Engineer job openings:
Infographic showing various Contract Databricks Data Engineer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 19% Part Time, 1% Temporary, and 14% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.
Data Engineer - Databricks

Data Engineer - Databricks

Open Systems Technologies

Manhattan, NY • On-site

$125 - $135/hr

Contractor

Posted 25 days ago


Job description

A financial firm is looking for a Data Engineer - Databricks to join their team. This role is remote.
Pay: $100-130/hr
US Citizens or GC Holders Only
No c2c - W2 Only
Qualifications:A Bachelor's Degree in Computer Science, Management Information Systems, Computer Engineering, or related field7 years of experience in designing and building large-scale solutions in an enterprise setting3 years designing and building solutions in the cloudExpertise in building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB or analogous architecturesExpertise in building Cloud Database Management Systems in Databricks Lakehouse or analogous architecturesDeep SQL expertise, data modeling, and experience with data governance in relational databasesExperience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (SparkSQL, Hadoop, Kafka) distributed technologiesRefined skills using one or more scripting languages (e.g., Python, bash, etc.)Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mindExpertise in relational and dimensional data modelingUNIX admin and general server administration experienceExperience with leveraging CI/CD pipelinesPresto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience is a plus Experience using Spark, Kafka, Hadoop, or similar distributed data technologies is a plusExperience with Agile methodologies and able to work in an Agile manner is preferredExperience using ETL/ELT tools and technologies such as Talend, Informatica is a plusExpertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures is a plus