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Contract Databricks Developer Jobs in Pittsburgh, PA

SysMind Tech

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and Spark to design and build scalable data pipelines. The ideal candidate will have ...

Branding Brand

Senior Backend Engineer

Pittsburgh, PA · Remote

... Databricks as the long-term data store. The workload is bursty and high throughput, so the role ... This is a fully remote contract position. The candidate must be located in the United States and ...

Branding Brand

Senior Backend Engineer

Pittsburgh, PA · Remote

$25 - $70/hr

... Databricks as the long-term data store. The workload is bursty and high throughput, so the role ... This is a fully remote contract position. The candidate must be located in the United States and ...

Branding Brand

Senior Backend Engineer

Pittsburgh, PA · On-site

$25/hr

... Databricks as the long-term data store. The workload is bursty and high throughput, so the role ... This is a fully remote contract position. The candidate must be located in the United States and ...

GE Aerospace

Software Engineer AI/ML

Imperial, PA

$117K - $141K/yr

... contracts, and operations. We're looking for an AI Engineer to help transform GE Aerospace ... AWS, Visual Studio, Databricks, GitHub, etc. * Experience building REST APIs (FastAPI, Flask) for ...

All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Pittsburgh, PA

Contract Databricks Developer information

See Pittsburgh, PA salary details

$20

$59

$77

How much do contract databricks developer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for contract databricks developer in Pittsburgh, PA is $59.70, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $66.06 per hour, depending on experience, location, and employer.

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 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 the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

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.
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Contract Databricks Developer jobs near you

Data Engineer - Databricks

SysMind Tech

Pittsburgh, PA • On-site

$108K - $130K/yr

Contractor

Posted 21 hours ago

Job description

Role: Data Engineer
Location: Warrendale, PA / Pittsburgh, PA (Onsite)
Job Type: Contract
Role Overview
We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and Spark to design and build scalable data pipelines. The ideal candidate will have hands-on experience with ETL/ELT development and large-scale data processing using Spark and PySpark.
Key Responsibilities
  • Design, develop, and maintain ETL/ELT data pipelines for large-scale data processing.
  • Build scalable data solutions using Databricks and Apache Spark (PySpark / Spark SQL).
  • Develop and optimize Python-based data processing frameworks.
  • Work closely with data analysts and data scientists to deliver high-quality datasets.
  • Optimize performance and scalability of data pipelines.
  • Implement data quality checks and monitoring solutions.
  • Collaborate with cross-functional teams to support analytics and reporting initiatives.

Required Skills
  • Advanced Databricks (hands-on experience)
  • Strong Python programming
  • Spark / PySpark / Spark SQL
  • ETL / ELT pipeline development
  • Data pipeline optimization and performance tuning
  • Strong SQL skills

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