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Databricks Developer Jobs in Pennsylvania (NOW HIRING)

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$107K - $128K/yr

Experience implementing DevOps practices for Azure Databricks environments. * Familiarity with Microsoft Purview or Azure Purview. #M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Experience implementing DevOps practices for Azure Databricks environments. * Familiarity with Microsoft Purview or Azure Purview. #M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Experience implementing DevOps practices for Azure Databricks environments. * Familiarity with Microsoft Purview or Azure Purview. #M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Experience implementing DevOps practices for Azure Databricks environments. * Familiarity with Microsoft Purview or Azure Purview. #M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Experience implementing DevOps practices for Azure Databricks environments . . Familiarity with Azure Purview/Microsoft Purview is a plus. Ref: #404-IT Pittsburgh

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Experience implementing DevOps practices for Azure Databricks environments. * Familiarity with Microsoft Purview or Azure Purview. #M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh

CEI

Databricks Architect

Pittsburgh, PA · On-site +1

$62.75 - $82.50/hr

Mentor engineering teams and provide technical leadership. Requirements: * Active Databricks MVP designation (Required) * 10+ years of Data Engineering, Data Architecture, or Cloud Architecture ...

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 ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for databricks developer in Pennsylvania is $61.64, according to ZipRecruiter salary data. Most workers in this role earn between $55.43 and $68.17 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

What are the key skills and qualifications needed to thrive in the Databricks developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What do you need to be a Databricks developer?

To become a Databricks developer, you typically need proficiency in Apache Spark, programming skills in languages like Python, Scala, or SQL, and experience with cloud platforms such as AWS or Azure. Knowledge of data engineering, ETL processes, and familiarity with Databricks' environment and tools are also important, along with relevant certifications or training.

What is a Databricks developer?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What is the salary of a Databricks developer?

The salary of a Databricks developer 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, or data engineering may earn higher compensation.

Is a Databricks developer an in demand skill?

Yes, Databricks developers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance employability in this role, which is often required in data-driven industries.
What are the most commonly searched types of Databricks Developer jobs in Pennsylvania? The most popular types of Databricks Developer jobs in Pennsylvania are:
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What job categories do people searching Databricks Developer jobs in Pennsylvania look for? The top searched job categories for Databricks Developer jobs in Pennsylvania are:
Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $128,208 per year, or $61.6 per hour.

Senior Databricks Engineer

Tata Consultancy Service Limited

Malvern, PA • On-site

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Must Have Technical/Functional Skills
Apache Spark: Mastery of Spark SQL and the DataFrame API for distributed data processing, performance tuning, and optimizing execution plans.
Delta Lake & Lakehouse: Building medallion architectures (Bronze, Silver, Gold layers) and using optimizations like Z-Ordering and ACID transactions
Pipelines & Orchestration: Developing with Delta Live Tables (DLT) and Databricks Workflows to design resilient, idempotent ELT/ETL pipelines.
Unity Catalog: Configuring data governance, row/column-level security, and data lineage
Languages: Advanced proficiency in Python (PySpark) and SQL
Storage & Data Lakes: Expert in reading/writing to Amazon S3 and integrating with AWS data warehouses (e.g., Amazon Redshift).
Security & IAM: Implementing cross-account IAM roles, S3 bucket policies, and Customer-Managed Keys (CMK) via AWS KMS
.Compute Management: Managing cluster policies, instance profiles, and utilizing Spot Instances to optimize Databricks compute costs on AWS.
Ecosystem Integration: Familiarity with integrating Databricks jobs alongside native services like AWS Glue, Amazon Kinesis, and AWS Step Functions
CI/CD & Version Control: Git-based workflows using Databricks Git Folders and managing deployments.
AI & MLOps: Using MLflow for experiment tracking and model registries.
Familiarity with LLMs, Vector Search, and GenAI integrations.
Roles & Responsibilities
Data Pipeline Development: Extract, transform, and load (ETL) data from multiple sources, building batch and streaming pipelines.Spark & Code Optimization: Write highly efficient PySpark, Scala, or SQL code. Troubleshoot distributed processing bottlenecks and optimize job performance.
Lakehouse Management: Work with the Medallion architecture to transition data through Bronze (raw), Silver (cleansed), and Gold (aggregated) layers in Delta Lake.
Orchestration & Automation: Schedule and automate workflows using Databricks Jobs, Workflows, or Delta Live Tables (DLT). Configure automated tests, retries, and error handling.
Governance & Security: Implement data privacy and access controls utilizing the Databricks Unity Catalog, ensuring compliance and secure data sharing.
Collaboration: Work alongside Data Scientists, Data Analysts, and ML Engineers to prepare data features and support BI reporting, ML training, and generative AI initiatives.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000 - 135,000 a year

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