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Databricks Engineer Jobs in Pittsburgh, PA (NOW HIRING)

Pittsburgh Pirates

DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

Experience supporting data engineering or analytics infrastructure (e.g., Snowflake, Databricks, Airflow). * Familiarity with secrets management tools such as HashiCorp Vault or AWS Secrets Manager.

Pwc

AI Engineer

Pittsburgh, PA · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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 - Senior Manager

Pittsburgh, PA

$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 - 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 ...

ivision

Microsoft Fabric Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

... Azure Databricks, and Purview. • Proficiency in data governance, security, DevOps, FinOps, and best practices for modern data architectures. • Exceptional client-facing communication ...

SkilzMatrix Digital

QA

Pittsburgh, PA · On-site

$38.50 - $52.50/hr

QA SDET with AI office locations (Pittsburgh, PA, Cleveland, OH, Dallas, TX, Birmingham, AL or ... Databricks). AI/ML Skills: Solid understanding of machine learning lifecycle and data science ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Pittsburgh, PA

Databricks Engineer information

See Pittsburgh, PA salary details

$57.8K

$108.4K

$197.1K

How much do databricks engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for databricks engineer in Pittsburgh, PA is $108,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $128,600.00 per year, depending on experience, location, and employer.

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 $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 architecture can earn higher compensation, often exceeding $160,000 per year.

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.

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, and their roles are often available across various industries seeking data-driven solutions.

What are popular job titles related to Databricks Engineer jobs in Pittsburgh, PA?

For Databricks Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Databricks Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Databricks Engineer jobs?

Cities near Pittsburgh, PA with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $108,374 per year, or $52.1 per hour.

DevOps Engineer

Pittsburgh Pirates

Pittsburgh, PA • On-site

$51.25 - $70.25/hr

Full-time

Re-posted 15 days ago

Job description

The Pirates Why
The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by:
  • purposefully developing a player and people-centered culture;
  • deeply connecting with our fans, partners, and colleagues;
  • passionately creating lifetime memories for generations of families and friends; and
  • meaningfully impacting our communities and the game of baseball.

At the Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service.
Job Summary
We are seeking a talented and motivated DevOps Engineer to join our Baseball Systems team. In this role, you will play a critical part in modernizing, automating, and supporting the infrastructure that powers our baseball operations and enterprise systems. The reliable, secure, and scalable solutions you build will enable our analysts, data scientists, engineers, and front office staff to work efficiently and confidently from the clubhouse to the cloud. You will work to ensure our systems are always available, performant, and ready to support the demands of a Major League Baseball organization like powering trade and draft decisions and supporting how coaches and players interact.
Responsibilities:
  1. Support on-premise and legacy infrastructure, migrating systems to cloud-based platforms where appropriate.
  2. Design, implement, and maintain CI/CD pipelines to streamline software delivery across engineering teams.
  3. Manage and monitor cloud infrastructure across various platforms, ensuring high availability and cost efficiency.
  4. Implement and maintain infrastructure as code using tools such as Terraform, Pulumi, or CloudFormation.
  5. Containerize and orchestrate applications using Docker and Kubernetes to support scalable, production-grade deployments.
  6. Collaborate with data engineers and software developers to support infrastructure needs for data pipelines, APIs, and analytical platforms.
  7. Establish and maintain robust monitoring, alerting, and incident response processes to minimize downtime and ensure system reliability.
  8. Enforce security best practices across infrastructure, including access control, secrets management, and vulnerability patching.
  9. Support disaster recovery planning and backup strategies for critical systems.
  10. Collect requirements from non-technical stakeholders and translate those into scalable infrastructure solutions.
  11. Document infrastructure patterns and runbooks so the entire team can operate and maintain systems confidently.

Qualifications:
Required:
  1. We know not every great candidate will meet all of these requirements. If you're excited about the role and feel like you'd be a strong fit, we encourage you to apply.
  2. Demonstrated experience with CI/CD tooling (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI).
  3. Demonstrated proficiency with cloud platforms (AWS, GCP, or Azure), including compute, networking, storage, and IAM.
  4. Demonstrated experience with containerization and orchestration (Docker, Kubernetes).
  5. Demonstrated experience with infrastructure as code tools (e.g., Terraform, Pulumi, or CloudFormation).
  6. Demonstrated familiarity with scripting languages such as Python, Bash, or PowerShell for automation tasks.
  7. Demonstrated problem-solving skills and strong attention to detail.
  8. Experience supporting data engineering or analytics infrastructure (e.g., Snowflake, Databricks, Airflow).
  9. Familiarity with secrets management tools such as HashiCorp Vault or AWS Secrets Manager.
  10. Experience with observability platforms such as Datadog, Grafana, or Prometheus.
  11. Authorized to work lawfully in the United States.
  12. Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Desired:
  1. Experience supporting ML/AI pipelines with large data inputs.
  2. Demonstrated passion for baseball or other sports.
  3. Deep curiosity about how technology and infrastructure enable better baseball decisions.

Equal Opportunity Employer
The Pittsburgh Pirates are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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