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Contract Databricks Developer Jobs in Pennsylvania

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a high-performing ...

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 ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data ... Experience implementing DevOps practices for Azure Databricks environments . . Familiarity with ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Tror AI for everyone

Databricks Lead

Chester, PA · On-site

$57 - $74.50/hr

Title -Databricks Lead Location - Chester, Newtown Square PA Duration - Contract/FTE The Role ... Experience cloud/on-prem devops tools for orchestration, scheduling, logging, required for data ...

Kforce Technology Staffing

Senior Data Engineer

Pittsburgh, PA · On-site

$99K - $134K/yr

... DevOps practices, and release automation * Advanced knowledge of Azure Databricks, including ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

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 ...

MissionStaff

Integration Services Engineer

Fort Washington, PA · On-site

$100K - $134K/yr

We are currently filling the following contract job for our client. Job Title : Integration ... Ability to integrate AIS with Snowflake or Databricks platforms * Experience integrating Enterprise ...

New

ENE IT Consulting

Lead Data QA

Philadelphia, PA

$130K/yr

e&e is seeking a Lead Data QA for a hybrid contract opportunity in Philadelphia, PA. The Lead Data ... Azure Data Engineer Associate or Databricks Certified Data Engineer.

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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 the most commonly searched types of Databricks Developer jobs in Pennsylvania?

The most popular types of Databricks Developer jobs in Pennsylvania are:

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

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

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

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

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

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

Contract Databricks Developer jobs near you

Data Engineer - Databricks

System One

Pittsburgh, PA • On-site

$107K - $128K/yr

Other

Re-posted yesterday

Job description

Data Engineer – Azure Databricks
Contract-to-Hire
Pittsburgh, PA – Onsite
Job ID J0726-0569
Visa : (No Sponsorship)
Position Overview

  • Seeking an experienced Data Engineer to join a high-performing data engineering team responsible for building modern, cloud-native data platforms on Microsoft Azure.
  • This role will focus on designing and implementing scalable, secure, and high-performance data solutions using Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog. The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain.
  • The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment.

Required CompetenciesCompetencyImportanceProficiency Level
  • Apache Spark
  • Required
  • Expert
  • Microsoft Azure
  • Required
  • Advanced
  • Investment Banking and Securities
  • Required
  • Advanced
  • Structured Query Language – SQL
  • Required
  • Expert
  • Unity Catalog
  • Required
  • Advanced
  • Databricks
  • Required
  • Expert
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Databricks.
  • Build and optimize ETL and ELT workflows using PySpark, SQL, Apache Spark, and Delta Lake.
  • Implement and manage Unity Catalog for enterprise data governance, metadata management, security, and fine-grained access control.
  • Develop cloud-native data engineering solutions on the Microsoft Azure platform.
  • Collaborate with architects, business analysts, and cross-functional teams to translate business requirements into technical solutions.
  • Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency.
  • Ensure data quality, reliability, governance, and regulatory compliance through validation, monitoring, and engineering best practices.
  • Support production deployments, troubleshooting, root-cause analysis, and performance tuning.
  • Participate in code reviews, technical documentation, and continuous improvement initiatives.
  • Apply cloud data engineering, security, CI/CD, and DevOps best practices within Azure environments.
Required Qualifications
  • 8+ years of overall data engineering or related technology experience preferred.
  • Minimum 5 years of hands-on Azure Databricks experience.
  • Mandatory hands-on experience implementing and managing Unity Catalog.
  • Expert-level experience with Apache Spark, PySpark, and SQL.
  • Strong experience developing enterprise-scale data engineering solutions on Microsoft Azure.
  • Strong experience with Delta Lake, ETL/ELT development, and data pipeline implementation.
  • Experience with Azure Data Factory and Azure Data Lake Storage Gen2.
  • Strong knowledge of the Microsoft Azure data ecosystem.
  • Strong understanding of data governance, metadata management, data security, and access control.
  • Mandatory experience within Investment Banking, Securities, or Capital Markets.
  • Experience using Git and implementing CI/CD practices.
  • Experience working in Agile/Scrum delivery environments.
  • Excellent analytical, communication, and problem-solving skills.
  • Must be willing to work onsite in Pittsburgh, PA.
  • Must be willing and eligible to convert to full-time employment after six months.
Preferred Qualifications
  • Databricks Certified Data Engineer Associate or Professional certification.
  • Microsoft Certified Azure Data Engineer Associate, DP-203.
  • Experience with Infrastructure as Code using Terraform or Bicep.
  • Experience implementing DevOps practices for Azure Databricks environments.
  • Familiarity with Microsoft Purview or Azure Purview.

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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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