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Databricks Data Engineer Jobs in Pittsburgh, PA (NOW HIRING)

Databricks Architect

Pittsburgh, PA · On-site +1

$62.75 - $82.50/hr

Partner with business and technical stakeholders to drive data strategy. * Mentor engineering teams and provide technical leadership. Requirements: * Active Databricks MVP designation (Required ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

... engineering, with demonstrated ownership of architecture decisions. * Hands-on experience designing and implementing cloud data solutions using Snowflake, Azure, AWS, and/or Databricks. * Deep ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

... engineering, with demonstrated ownership of architecture decisions. * Hands-on experience designing and implementing cloud data solutions using Snowflake, Azure, AWS, and/or Databricks. * Deep ...

Showing results 21-40

Databricks Data Engineer information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

How much do databricks data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks data engineer in Pittsburgh, PA is $125,927.00, 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 a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Pittsburgh, PA? The most popular types of Databricks Data Engineer jobs in Pittsburgh, PA are:
What job categories do people searching Databricks Data Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Databricks Data Engineer jobs in Pittsburgh, PA are:
Infographic showing various Databricks Data Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $125,927 per year, or $60.5 per hour.

Azure Data Engineer - F2F is must

Maiden Technologies Inc

Pittsburgh, PA • On-site

$53.50 - $66.25/hr

Other

Re-posted 16 hours ago


Job description

Hi
F2F Interview is must in Pittsburgh PA
Azure Data Engineer
Hybrid in Pittsburgh PA
Contract
Why open: addition to the team
Location: Hybrid- T,W, Th onsite, M & F remote
Education: open- as long as it's a good balance of experience
Bonus: Discretionary based on employee contribution
Business driver: moving on prem services to cloud so they can accurately report on data- currently have a gap in reporting
Looking for someone with 3-5 years' experience as an Azure Data Engineer using..
Azure Data Lake Storage
Azure SQL Database
Azure Data Factory
Azure Databricks- Azure Medallion Architecture would be a HUGE PLUS
Azure Synapse DW- preferred
Proficiency in SQL, Python, and PowerShell programming languages

Maiden Technologies logo

About Maiden Technologies

Sourced by ZipRecruiter

At Maiden Technologies LLC. , we strive to deliver value through the combination of right people, processes, technologies and program management solutions. Our methods include- applying domain expertise in specific industry segments, utilizing a highly-skilled workforce, leveraging a proven global delivery model, implementing structured and scalable quality processes and methodologies and yet, staying cost-effective. Maiden Technologies offers Consulting and Integration services to deliver invaluable benefits to its customers. This expertise has been achieved through consulting, solution designing and solution deployment coupled with systematized operations and maintenance services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Parsippany, NJ, US

Year founded

2018