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Data Engineer Data Bricks Jobs in Pittsburgh, PA

Data Engineer

Wexford, PA

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our ... Data Bricks, etc. * Solid understanding of machine learning models, tools, libraries, and ...

Data Engineer

Wexford, PA · On-site

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our ... Data Bricks, etc. * Solid understanding of machine learning models, tools, libraries, and ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location || Onsite - Warrendale, PA / Pittsburgh, PA (U.S.) This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

Data Engineer

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 6+ Years Industry Background: Finance ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

  • Retirement

  • PTO

Data Engineer Category: Analytics and Emerging Digital Technologies Main location: United States, Pennsylvania, Pittsburgh Position ID:J0726-2185 Employment Type: Full Time Position Description: We ...

Data Engineer

Pittsburgh, PA · On-site

$108K - $130K/yr

• Current major goal of project is to move from OnPrem to cloud storage to SaaS • ThoughtSpot is a BI tool for the enterprise (internal users) • Team is made of data engineers and business ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Databricks Duration : Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native ...

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Data Engineer Data Bricks information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

How much do data engineer data bricks jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer data bricks in Pittsburgh, PA is $125,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

What are popular job titles related to Data Engineer Data Bricks jobs in Pittsburgh, PA?

For Data Engineer Data Bricks jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Bricks jobs in Pittsburgh, PA look for?

The top searched job categories for Data Engineer Data Bricks jobs in Pittsburgh, PA are:

Infographic showing various Data Engineer Data Bricks job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,931 per year, or $60.5 per hour.

$108K - $130K/yr

Full-time

Re-posted 28 days ago


Job description

SUMMARY

As a Data Engineer for our Digital Services division, you will drive the evolution of our next generation data infrastructure, which powers a wide range of analytics and software products.  You will be responsible for designing, developing, and maintaining advanced data pipelines using the latest technologies in cloud computing and data processing.  In this pivotal role, you will collaborate with cross-functional teams including data scientists, software engineers, and business analysts. You will use your excellent soft skills to interface with non-technical stakeholders and ensure that their needs are met in the form of functional and non-functional requirements. 

RESPONSIBILITIES:

  • Design, build, and maintain our data infrastructure to support analytics and integration into software products and services.
  • Partner with data scientists to build processing pipelines that enable them to rapidly create high-quality machine learning models.
  • Work with software engineers to develop and maintain pipelines to feed data to our growing software portfolio.
  • Manage ETL/ELT processes as code and foster a codebase that is extensible and maintainable by all team members.
  • Manage the transition from quick prototype to full scalable solution that supports production products.
  • Identify, recommend, and implement innovative approaches and technologies that will evolve our existing processes
  • Provide ad hoc support to the engineering team, including POC software development, ML model development, and data analysis, as project needs arise.

Qualifications 

Education and experience requirement

  • BS/MS Degree in Computer Science, Engineering, Data Analytics, or related field.
  • 3+ years’ experience in data engineering, ETL development, or similar role.
  • Strong problem-solving skills to discover, address, and resolve issues.
  • Demonstrated ability to translate technical concepts into actionable insights for different stakeholders.


Language and technical skills requirement

  • Proficient in programming languages such as Python and SQL and development tools such as Git.
  • Experience with cloud platforms such as Azure, AWS, or GCP for deploying and managing data infrastructure.
  • Skilled with rational database schema design.
  • Hands-on experience with data processing tools and platforms such as Snowflake, Azure Synapse, Azure Data Factory, Data Bricks, etc.
  • Solid understanding of machine learning models, tools, libraries, and approaches.
  • Experience with business intelligence tools such as Power BI, Spotfire, Cognos, Tableau, Qlik.

Physical demands and work environment

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. 

  • Work is usually performed in an office environment with normal noise levels. Involves prolonged sitting and computer usage.
  • Work may involve limited travel.