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Contract Databricks Data Engineer Jobs in Delaware

Croda

Contract Specialist

New Castle, DE · On-site

Process Improvement, Data Integrity, and Reporting • Develop and implement Procurement process ... Minimum Qualifications • Bachelor's degree in Procurement, Supply Chain Management, Engineering ...

Element Materials Technology

Data Processor

Milford, DE · On-site

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 ...

Element Materials Technology

Data Processor

Newark, DE · On-site

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 ...

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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 Delaware? The most popular types of Databricks Data Engineer jobs in Delaware are:
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Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in Delaware as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Lead Python developer with PYSPARK , AWS & Terraform

Lead Python developer with PYSPARK , AWS & Terraform

SRI Tech Solutions

Wilmington, DE • On-site

$135K - $166K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Expert proficiency in Python programming language with strong coding and problem-solving skills

Strong experience in PySpark, including Spark SQL and distributed data processing using Spark APIs

Experience in testing and debugging applications using Python testing frameworks such as PyTest, PyUnit, etc.

In-depth knowledge of Python libraries and frameworks like Pandas,Numpy, Flask, or Django

Hands-on experience with data pipeline and orchestration tools such as Airflow, Kafka, Jenkins, and Spinnaker

Strong knowledge of designing scalable, reliable, and high-performance applications

Experience working with AWS cloud services such as S3, EC2, Lambda, ECS, EventBridge, etc.

Experience with CI/CD pipelines and DevOps practices for automated deployments

Good to have experience with cloud data warehousing platforms such as Snowflake, Databricks

Nice to have exposure to Machine Learning and AI frameworks

Familiarity with AI-assisted development tools such as GitHub Copilot and understanding of Large Language Models (LLMs) for improving developer productivity and building intelligent features

Apply