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Databricks Engineer Jobs in Pennsylvania (NOW HIRING)

Databricks Lead

Chester, PA · On-site

$57 - $74.50/hr

Title -Databricks Lead Location - Chester, Newtown Square PA Duration - Contract/FTE The Role ... Experience cloud/on-prem devops tools for orchestration, scheduling, logging, required for data ...

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 ...

Data Engineer only w2

Malvern, PA · On-site

$112K - $134K/yr

AWS/Databricks. Malvern,PA Onsite role 6 MOnths Rate 55w2 Briefly describe the duties and responsibilities of the contractor(s): Data Engineer with experience designing scalable data pipelines, ETL ...

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Databricks Engineer information

See Pennsylvania salary details

$59.6K

$111.9K

$203.5K

How much do databricks engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for databricks engineer in Pennsylvania is $111,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $132,800.00 per year, depending on experience, location, and employer.

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?

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.

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.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What job categories do people searching Databricks Engineer jobs in Pennsylvania look for?

The top searched job categories for Databricks Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Databricks Engineer jobs?

Cities in Pennsylvania with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $111,900 per year, or $53.8 per hour.

Databricks Solution Architect, Utilities

Philadelphia, PA


Guidehouse
Business Management Consulting • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

People enjoy working here

Good employer

Paid breaks


Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

None

Guidehouse is seeking a Databricks Solution Architect to join our AI and Data team to support client projects in the utility industry involving Databricks solution design, platform administration, data governance, and secure Databricks solution implementation. This role focuses on architecting and administering enterprise Databricks environments across workspaces, Unity Catalog, compute, security, automation, and operational standards. The architect will support data modernization initiatives for regulated utilities, including solutions that integrate customer, account, premise, property, meter, and energy-use data across utility and enterprise platforms. The role requires hands-on Databricks platform experience, strong cloud and data architecture fundamentals, and the ability to collaborate with client stakeholders, security teams, data engineers, and delivery teams to build scalable, governed, and production-ready solutions.

What You Will Do:

  • Partner with utility business, IT, data, and regulatory stakeholders to design governed data architectures that integrate customer, account, premise, service-address, meter, property, and energy-usage data across operational systems, enterprise data platforms, APIs, and external reporting platforms.
  • Lead the design and implementation of Databricks solution architectures that support data engineering, analytics, AI/ML, and governed data product delivery.
  • Administer Databricks workspaces, account-level settings, workspace configurations, users, groups, service principals, permissions, secrets, jobs, and platform objects.
  • Design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards.
  • Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs.
  • Translate business, technical, security, and governance requirements into Databricks-native architecture patterns, implementation plans, technical architecture and design documentation, and platform standards.
  • Partner with cloud, cybersecurity, identity management, networking, and DevOps teams to support secure platform integration across Azure, AWS, or GCP environments.
  • Develop reusable architecture guidance, reference implementations, deployment patterns, and operational playbooks for Databricks platform teams and delivery teams.
  • Troubleshoot platform issues related to permissions, compute performance, job execution, storage access, networking, workspace configuration, and production operations.
  • Advise clients on platform governance, cost management, auditability, release management, environment strategy, separation of duties, regulatory traceability, and data-quality controls for enterprise Databricks adoption.
  • Support delivery teams through technical leadership, architecture reviews, code and configuration reviews, documentation, and stakeholder communication.

What You Will Need:

  • Bachelor's degree from an accredited college/university.
  • 7+ years of relevant experience in data architecture, cloud data platforms, data engineering, platform engineering, or technical solution delivery.
  • 3+ years Databricks hands-on experience designing, implementing, or administering Databricks environments (architecting), including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations.
  • Ability to quickly develop fluency in utility business processes, data models, source systems, regulatory requirements, and operational terminology, and translate that context into practical platform and solution architecture
  • Strong experience with SQL, Python, and Spark-based development for data engineering, automation, and platform operations.
  • Strong experience with Unity Catalog, including access controls, catalogs, schemas, external locations, storage credentials, lineage, and governed data organization.
  • Experience with cloud platforms such as Azure, AWS, or GCP, including identity, networking, storage, security, and deployment considerations for cloud-native data platforms.
  • Experience developing architecture artifacts, technical designs, platform standards, implementation roadmaps, and operational documentation for technical and non-technical audiences.
  • Ability to lead technical discussions with clients, evaluate tradeoffs, communicate architecture decisions, and work effectively in consulting or project-based delivery environments.
  • Familiarity with data governance, DevOps, CI/CD, infrastructure automation, monitoring, cost management, and secure software delivery practices.
  • Travel: will need to be onsite in NY at least one day every other week

What Would Be Nice To Have:

  • Active Databricks certification, such as Databricks Certified Data Engineer, Machine Learning Engineer, GenAI Engineer, or related professional certification.
  • Experience architecting and administering advanced AI/ML and application capabilities within Databricks (MLflow, AI Gateway, Genie One, Databricks Apps).
  • Experience developing Databricks Apps or similar data-driven applications, including React-based front ends, API architecture, secure integration patterns with Delta Tables and Unity Catalog, and agentic workflow patterns that incorporate Databricks Agents or other AI-enabled services.
  • Experience supporting electric or gas utilities, including working with customer information, account and premise, AMI, meter data management, billing, energy usage, building or property, or regulatory reporting data.
  • Experience with Terraform, Databricks Asset Bundles, Git-based deployment patterns, automated testing, release management, or CI/CD pipelines for Databricks workloads.
  • Experience integrating Databricks with enterprise identity providers, data catalogs, orchestration tools, observability platforms, BI tools, and cloud-native security services.
  • Experience advising stakeholders on enterprise platform operating models, governance processes, cost controls, and production support practices.
The annual salary range for this position is $162,000.00-$270,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.



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