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Databricks Developer Jobs in Pennsylvania (NOW HIRING)

Infosys

Pyspark and Databricks Engineer

Pittsburgh, PA · On-site

Required Skill and Experience Strong programming experience in Python Hands-on expertise with PySpark Proven experience with Databricks (jobs, notebooks, Delta Lake) Experience working with Kafka for ...

De Novo HR Consulting

Be Seen First

AI Developer

Huntingdon Valley, PA · On-site

They are seeking an AI Developer to join the team. Essential Responsibilities Include: * Design ... Build and maintain scalable ETL processes and data pipelines using PySpark, Databricks, and SQL ...

Brixmor Property Group

BI Developer

Conshohocken, PA · On-site

This role sits at the intersection of business intelligence, data modeling, and analytics engineering , translating curated data from our Azure / Databricks platform into trusted, performant, and ...

Brixmor Property Group

BI Developer

Conshohocken, PA · On-site

This role sits at the intersection of business intelligence, data modeling, and analytics engineering , translating curated data from our Azure / Databricks platform into trusted, performant, and ...

SysMind Tech

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 ...

Medical Guardian

Senior Data Engineer

Philadelphia, PA · Remote

$107K - $145K/yr

Optimize production Databricks pipelines using PySpark, Spark SQL, and Delta Lake, including Spark ... applying DevOps and CI/CD practices to data and analytics workloads * Production experience ...

Medical Guardian

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

Optimize production Databricks pipelines using PySpark, Spark SQL, and Delta Lake, including Spark ... applying DevOps and CI/CD practices to data and analytics workloads * Production experience ...

Medical Guardian

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

Optimize production Databricks pipelines using PySpark, Spark SQL, and Delta Lake, including Spark ... applying DevOps and CI/CD practices to data and analytics workloads * Production experience ...

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How much do databricks developer jobs pay per hour?

As of Jun 28, 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.

Is Databricks a high paying company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

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.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

What is a Databricks Developer job?

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.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
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 June 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $128,208 per year, or $61.6 per hour.
Specialist Solutions Architect - Data Warehousing (Healthcare & Life Sciences)

Specialist Solutions Architect - Data Warehousing (Healthcare & Life Sciences)

Databricks

Philadelphia, PA • On-site

$60.25 - $79.25/hr

Full-time

Posted 21 days ago

Job description

Job Summary:
Databricks is the data and AI company, and they are seeking a Specialist Solutions Architect for Data Warehousing. In this role, you will guide customers in their cloud data warehousing transformation, providing technical leadership and support for successful production planning and evaluations.
Responsibilities:
• Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization
• Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community
Qualifications:
Required:
• 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDWother systems
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP
• Deep Specialty Expertise in at least one of the following areas: Experience scaling large analytical data workloads in the cloud that are performant and cost-effective, Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools, Experience migrating on-premise EDW workloads to the public cloud
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Production programming experience in SQL and Python, Scala, or Java
• Experience with the AWS, Azure, or GCP clouds
• 2 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
• 2 years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• Can travel up to 30% when needed
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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