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Manager Databricks Data Engineer Jobs (NOW HIRING)

Synergy Staffing

Data Engineer - Fabric

Wexford, PA · On-site

$108K - $130K/yr

... using Databricks and Medallion Architecture. • Manage ingestion routines for processing multi ... Data Engineer certification and 2+ years of experience maintaining Databricks platform and ...

Kentro

Data Engineer - Hybrid Opportunity

Woodlawn, MD · On-site

$145K - $165K/yr

... of a modern Databricks data platform supporting Management Information (MI) and Business ... Responsibilities Databricks Engineering * Develop, maintain, and optimize Databricks notebooks ...

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

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 ... Implement and manage Unity Catalog to support enterprise data governance, security, metadata ...

540

Data Engineer

Arlington, VA

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Develop and manage Databricks notebooks, jobs, workflows, clusters, and compute resources

540

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Develop and manage Databricks notebooks, jobs, workflows, clusters, and compute resources

540

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Develop and manage Databricks notebooks, jobs, workflows, clusters, and compute resources

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Manager Databricks Data Engineer information

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$44.5K

$129.7K

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How much do manager databricks data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager databricks data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

More about Manager Databricks Data Engineer jobs
What cities are hiring for Manager Databricks Data Engineer jobs? Cities with the most Manager Databricks Data Engineer job openings:
What are the most commonly searched types of Databricks Data Engineer jobs? The most popular types of Databricks Data Engineer jobs are:
What states have the most Manager Databricks Data Engineer jobs? States with the most job openings for Manager Databricks Data Engineer jobs include:
What job categories do people searching Manager Databricks Data Engineer jobs look for? The top searched job categories for Manager Databricks Data Engineer jobs are:
Manager Databricks Data Engineer jobs near you
Infographic showing various Manager Databricks Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - Fabric

Synergy Staffing

Wexford, PA • On-site

$108K - $130K/yr

Full-time

Re-posted 3 hours 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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