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Contract Databricks Developer Jobs in Delaware (NOW HIRING)

SRI Tech Solutions

Python Developer with AWS

Wilmington, DE · On-site

$48.75 - $67.25/hr

Wilmington, DE Duration : Long Term Contract Skillsets: Python, AWS, Terraform, AI/ML * Expert ... Good to have experience with cloud data warehousing platforms such as Snowflake, Databricks * Nice ...

Hirekeyz Inc

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 ... Expert proficiency in Python programming language Expert proficiency in PySpark, including Spark ...

Hirekeyz Inc

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 ... programming language Expert proficiency in PySpark, including Spark SQL and other Spark APIs ...

Judge Group, Inc.

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

This is a contract-to-hire opportunity offering the chance to work on critical data initiatives ... Experience working with Apache Spark and Databricks * Proficiency in workflow orchestration tools ...

All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Delaware

Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

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

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

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

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

What cities in Delaware are hiring for Contract Databricks Developer jobs?

Cities in Delaware with the most Contract Databricks Developer job openings:

Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Delaware as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Python Developer with AWS

SRI Tech Solutions

Wilmington, DE • On-site

$48.75 - $67.25/hr

Other

Posted 10 days ago

Job description

Role: Python Developer with AWS

Location: Wilmington, DE

Duration : Long Term Contract

Job Description:

Skillsets: Python, AWS, Terraform, AI/ML

  • 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

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