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Contract Databricks Data Engineer Jobs in Delaware

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Contract/W2 1. Hands on exeperience on pyspark and AWS. 2. Candidates from Tier-1 companies will be ... like S3, Databricks, and Data Lake Storage Experience with continuous integration/continuous ...

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Contract/W2/Full Time Must have skill: PySpark, including Spark SQL and other Spark APIs Expert ... like S3, Databricks, and Data Lake Storage Experience with continuous integration/continuous ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Showing results 41-60

Contract Databricks Data Engineer information

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 Delaware?

The most popular types of Databricks Data Engineer jobs in Delaware are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Delaware?

For Contract Databricks Data Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Delaware look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Delaware are:

What cities in Delaware are hiring for Contract Databricks Data Engineer jobs?

Cities in Delaware with the most Contract Databricks Data Engineer job openings:

Infographic showing various Contract Databricks Data Engineer job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Python Developer - Pyspark (Only local to DE)

InfiCare Technologies

Wilmington, DE • On-site

$48.75 - $67.25/hr

Other

Re-posted 11 days ago


Job description

Title: Python Developer - Pyspark

Location: Wilmington DE (5 Days Onsite)
Duration: Long Term contract

Experience: 10+ Years

JD:
Expert proficiency in Python programming language.
Expert proficiency in PySpark, including Spark SQL and other Spark APIs.
Testing and debugging applications with Python test framework tools like Pytest, PyUnit, etc.
In-depth knowledge of Python frameworks and libraries, such as Django or Flask.
Experience with AWS cloud platforms including services like S3, Databricks, and Data Lake Storage.
Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools.
Experience with data pipeline tools such as Airflow, Kafka, and Jenkins.
Design principles that are executable for a scalable app.
Qualification:
A bachelor's degree in computer science, information technology, or any relevant field A master's degree is preferred but not mandatory.
Strong knowledge of cloud concepts, architecture patterns, and best practices.
Proven experience in designing, implementing, and maintaining AWS solutions.
Effective communication and teamwork skills, including the ability to collaborate with cross-functional teams.
Strong problem-solving and analytical abilities.