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

Synergy Staffing

Data Engineer - Fabric

Wexford, PA · On-site

$108K - $130K/yr

Synergy Staffing is seeking a Databricks Data Engineer to develop and support data pipelines and analytics environments in Azure cloud-based data lake. The role involves translating business ...

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 ...

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

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 ...

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 ...

SysMind Tech

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

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 ...

SysMind Tech

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

S.) This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development, Spark (SQL/PySpark). Job purpose * The Data Engineer will be ...

Pwc

Data Engineer - Senior Manager

Pittsburgh, PA · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Associate

Pittsburgh, PA

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Manager

Pittsburgh, PA

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA

$111K - $133K/yr

Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment * Write ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment * Write ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site

$111K - $133K/yr

Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment * Write ...

CEI

Databricks Architect

Pittsburgh, PA · On-site +1

The position sits within CEI's Solutions and Engineering organization, working alongside data ... Databricks certifications such as Data Engineer Professional or Solution Architect * Experience ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Pittsburgh, PA

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:
Databricks Data Engineer jobs near you
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.

Data Engineer - Fabric

Synergy Staffing

Wexford, PA • On-site

$108K - $130K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Synergy Staffing is seeking a Databricks Data Engineer to develop and support data pipelines and analytics environments in Azure cloud-based data lake. The role involves translating business requirements into data engineering solutions and ensuring data quality and management in an enterprise-scale platform.
Responsibilities:
• Design, build, and optimize scalable data solutions using Databricks and Medallion Architecture.
• Manage ingestion routines for processing multi-terabyte datasets efficiently for multiple projects simultaneously, where each project may have multiple Databricks workspaces.
• Integrate data from various structured and unstructured sources to enable high-quality business insights. Proficiency in data analysis techniques for deriving insights from large datasets.
• Implement effective data management strategies to ensure data integrity, availability, and accessibility. Identify opportunities for cost optimization in data storage, processing, and analytics operations.
• Monitor and support user requests, addressing platform or performance issues, cluster stability, Spark optimization, and configuration management.
• Collaborate with the team to enable advanced AI-driven analytics and data science workflows.
• Integrate with various Azure services including Azure Functions, Storage Services, Data Factory, Log Analytics, and User Management for seamless data workflows.
• Experience with the above Azure services is a plus.
• Provision and manage infrastructure using Infrastructure-as-Code (IaC)
• Apply best practices for data security, data governance, and compliance, ensuring support for federal regulations and public trust standards.
• Proactively collaborate with technical and non-technical teams to gather requirements and translate business needs into data solutions.
Qualifications:
Required:
• BS degree in Computer Science or related field
• 5+ years of experience developing and designing Ingestion flows (structured, streaming, and unstructured data) using cloud platform services with data quality
• Databricks Data Engineer certification and 2+ years of experience maintaining Databricks platform and development in Spark
• Ability to work directly with clients and act as front line support for requests coming in from clients. Clearly document and express the solution in form of architecture and interface diagrams.
• Proficient at Python, Spark and R are essential.
• Knowledge and experience with data governance, including metadata management, enterprise data catalog, design standards, data quality governance, and data security.
• Experience with Agile process methodology, CI/CD automation, and cloud-based developments (Azure, AWS).
Preferred:
• Experience with the above Azure services is a plus.
• .NET based development is a plus.
Company:
Synergy Staffing is a recruiting and placement company. Founded in 2007, the company is headquartered in Pittsburgh, USA, with a team of 11-50 employees. The company is currently Early Stage.

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