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Databricks Engineer Jobs (NOW HIRING)

Transcend Softech LLC

Databricks Engineer

Boston, MA · On-site

Databricks Engineer Location: Boston, MA Long Term Contract * Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design * Overall experience 7 to 8 years in Scala-Spark ...

1 point system

Databricks Engineer

Jersey City, NJ · Remote

ABSOLUTE MUST-HAVES (Please do not submit candidates without these): • 5-8 years of hands-on Databricks engineering experience (not light exposure) • Strong, recent Delta Live Tables (DLT ...

CMT Services, Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

CMT Services Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

Tech Tammina

Databricks Engineer

Databricks Engineer Remote Contract role * Design, develop, and maintain ETL/ELT pipelines using Databricks and PySpark * Build scalable data processing workflows for structured and semi-structured ...

CMT Services Inc

Databricks Engineer

Hyattsville, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

Scalence L.L.C.

Databricks Engineer

Malvern, PA · On-site

C. is seeking a highly skilled Databricks Engineer with expertise in AWS cloud services and scalable data platform architecture. The role involves managing and optimizing Databricks infrastructure ...

New

Alpha Consulting Corp.

Databricks Engineer

Malvern, PA · On-site

Alpha Consulting Corp. is seeking a highly skilled Databricks Engineer with expertise in AWS cloud services and scalable data platform architecture. The ideal candidate will manage and optimize ...

New

Infosys

Databricks Engineer

Boston, MA · On-site

As a Databricks Engineer, you will contribute to software application design, coding, and quality assurance, while collaborating with cross-functional teams to enhance system reliability and ...

Infosys

Databricks Engineer

Houston, TX · On-site

The role of Databricks Engineer involves contributing to software design, coding, and maintaining system stability while implementing test strategies and facilitating user training. Responsibilities ...

Tror AI for everyone

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Azure Databricks Engineer Job Location: Iselin, NJ (Hybrid/Local candidates only) Job Type: Contract Must have: Databricks, Pyspark, Azure Cloud Services, Asset Bundle Technical Skills: * Strong ...

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Databricks Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do databricks engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for databricks engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
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What cities are hiring for Databricks Engineer jobs? Cities with the most Databricks Engineer job openings:
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Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Databricks Engineer

Databricks Engineer

SBA Communications Corporation

Boca Raton, FL • On-site

Full-time

Medical, Retirement, PTO

Posted 10 days ago

Job description

Since 1989, SBA Communications has been a pillar of the wireless industry. Today, as a publicly traded global leader and S&P 500 company, our network of over 46,000 communication sites spans 10+ countries, forming the critical infrastructure that connects millions. We are the force behind the scenes -the essential infrastructure that keeps our world connected.
We are looking for innovators to join the dynamic team that makes it all possible. In an industry that moves fast, we rely on our agility to stay ahead of the curve and deliver results. However, we never achieve it alone. Our culture is defined by a "Team First" focus, where every team member matters, and we collaborate passionately to support our customers' objectives.
We believe in shared success. At SBA, we invite every team member to think like an owner.
Financial Wellbeing:
  • Plan for your future with our Global Ownership Program (Annual RSU awards for eligible employees), a 401K with a generous company match, and an Employee Stock Purchase Plan offering company stock at a discount.

Mental Wellbeing:
  • We prioritize your health with access to a dedicated Health Concierge service.

Personal Growth & Balance:
  • Enjoy a generous Paid Time Off (PTO) package, paid holidays, and paid volunteer hours. We also fuel your ambition with tuition reimbursement, support for professional certifications, and a wellness reimbursement program.

If you're ready to make an impact with a stable industry leader, we want to hear from you.
Your Next Career Opportunity - Databricks Engineer
The Databricks Engineer is a hands-on individual contributor role within the Database Engineering team at SBA Communications, responsible for provisioning, administering, and governing the enterprise Databricks platform on Microsoft Azure. Reporting to the Manager, Database Engineering, this position requires a technically skilled professional with deep expertise in Databricks workspace administration, Unity Catalog, identity and access management, infrastructure as code, and Azure data platform integration. The Databricks Engineer will work closely with the Cloud Engineering team to ensure infrastructure-level alignment across Azure networking, storage, and security, and will serve as the primary infrastructure lead. The role plays a critical part in enforcing data governance standards, maintaining the Medallion architecture, supporting EDW/ODS platform operations, and ensuring the Databricks environment meets organizational security, compliance, and cost management requirements.
What You Will Do - Primary Responsibilities
  • Databricks Platform Administration & Engineering: Provision, configure, and manage Databricks workspaces in Azure, including cluster policies, SQL Warehouses, compute governance, and workspace-level security hardening. Enforce secure cluster connectivity and no-policy cluster restrictions in alignment with EDW/ODS platform standards.
  • Unity Catalog & Data Governance: Administer and maintain Databricks Unity Catalog as the system of record for data access governance, including catalog/schema structure, RBAC/ACL policies, row-level and column-level security, data lineage registration, and metadata tagging. Partner with the Manager, Database Engineering to enforce data governance standards and segregation of duties.
  • Identity & Access Management: Manage Databricks user provisioning via SCIM/Automatic Identity Management integrated with Azure Active Directory/Entra ID. Maintain access control matrices, conduct quarterly access reviews (QAR), and ensure MFA enforcement and local password disablement align with organizational policy.
  • Infrastructure as Code & Automation: Design and manage infrastructure provisioning using Terraform and Databricks Asset Bundles (DAB). Support CI/CD pipeline promotion across Dev, QA, and Production environments via Azure DevOps. Maintain repository structure and branching standards per SDLC guidelines.
  • Medallion Architecture Support: Maintain and optimize the Bronze/Silver/Gold medallion zoning architecture within Databricks. Ensure data retention policies, naming/tagging standards, and Unity Catalog object hierarchy align with enterprise data architecture standards.
  • Monitoring, Cost Management & DR: Configure and maintain monitoring using Databricks System Tables, cluster and job-level alerting, and Azure Monitor integration. Manage DBU consumption tracking, right-sizing, and cost guardrails. Support backup and disaster recovery planning in alignment with defined RTO/RPO targets.
  • Collaboration with Cloud & Database Teams: Work closely with the Cloud Engineering team to ensure Databricks infrastructure integrates seamlessly with Azure networking, storage (ADLS Gen2), and security components including ExpressRoute, VNets, and firewall rules. Serve as the infrastructure handoff point to the Databricks Senior Data Engineer for pipeline and workload delivery.
  • Security & Compliance: Collaborate with cybersecurity and compliance teams to enforce data platform security controls including data masking/tokenization in non-production environments, audit logging, access reviews, and SOX/segregation of duties requirements.
  • Documentation & Process Improvement: Maintain accurate platform documentation and contribute to SDLC artifacts, change management templates, and runbooks for Databricks operations and incident response.
  • Continuous Learning: Stay current with evolving Databricks capabilities, Azure data platform developments, Unity Catalog enhancements, and data engineering best practices. Recommend platform improvements that enhance reliability, cost-efficiency, and governance.
  • Other Duties: Completes other projects and duties as assigned.

What You'll Need - Qualifications & Requirements
  • Bachelor's Degree in Computer Science, MIS or equivalent;
    • and 3-5 years of progressive experience in data platform or cloud infrastructure engineering, with hands-on expertise in Databricks or Microsoft Azure and enterprise data governance practices.
  • Databricks Certified Data Engineer preferred.
  • Microsoft Certified: Azure Administrator Associate (AZ-104) preferred.
  • Microsoft Certified: Azure Data Engineer Associate (DP-203) preferred.
  • Expert level competencies in:
    • Databrick Platform Administration (workspaces, cluster policies, SQL Warehouses),
    • Unity Catalog & Data Governance (RBAC, Lineage, row/column-level security)
  • Advanced level competencies in:
    • Azure Data Platform Integration (ALDS Gen2, Azure Networking, Entra ID/SCIM,
    • Medallion Architecture (Bronze/Silver/Gold/ Delta/Lake),
    • Monitoring, Cost Management & DR (System Tables, DBU tracking, RTO/RPO)
    • Identity & Access Management (Entra ID, SCIM, MFA, SoD)
  • Strong level competencies in:
    • Infrastructure as Code (Terraform, Databricks, Asset Bundles)
    • CI/CD Pipelines & DevOps (Azure DevOps, branching strategy, SDLC)
    • Data Security & Compliance (data masking, audit logging, SOX controls)
    • Scripting & Automation (Python, PySpark, PowerShell)
  • Extensive experience with:
    • Business Process Improvement
    • Decision Making and Critical Thinking
    • Global Perspective
    • Knowledge of Organization
    • Organizational Leadership
    • Resource Management

Physical Demands
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 accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Ability to stoop, bend, kneel or crouch.
  • Ability to stand, walk and sit.
  • Ability to reach with hands and arms.
  • Visual ability correctable to 20/20.
  • Sitting up to 90% of the day.
  • Ability to respond verbally in an understandable, professional manner in person and over the telephone.
  • Manual dexterity to input data into the computer and the calculator and operate the equipment listed above.
  • Ability to lift up to 15 pounds.

Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Office/ Cubicle workspace.
  • Moderate noise level.

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