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Databricks Software Jobs in Philadelphia, PA (NOW HIRING)

Deloitte

Databricks Manager

Philadelphia, PA · On-site +1

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Purple Drive

AWS Databricks Engineer

Wilmington, DE · On-site

Title: AWS Databricks Engineer Location: Wilmington, DE - Onsite Type: Contract Opportunity Job Overview We are seeking a highly skilled AWS Databricks Engineer to join our team for an onsite ...

Deloitte

Databricks Data Engineer

Philadelphia, PA

$115K - $138K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Sr Databricks Data Engineer

Philadelphia, PA

$115K - $138K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

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All JobsDatabricks Software JobsDatabricks Software Jobs in Philadelphia, PA

Databricks Software information

See Philadelphia, PA salary details

$48.4K

$112.9K

$167.5K

How much do databricks software jobs pay per year?

As of Jun 28, 2026, the average yearly pay for databricks software in Philadelphia, PA is $112,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $131,200.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Philadelphia, PA? For Databricks Software jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Philadelphia, PA look for? The top searched job categories for Databricks Software jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Databricks Software jobs? Cities near Philadelphia, PA with the most Databricks Software job openings:
Databricks Software jobs near you
Databricks AWS Lead Software Engineer

Databricks AWS Lead Software Engineer

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 2 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

46th of 142 rated banks

Job description

We are seeking a highly skilled Lead Data Engineer with proven experience in Databricks and AWS to join our data engineering team. 

As a Lead Software Engineer at JPMorganChase within the Corporate Technology Finance team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Architect, develop, and optimize large-scale data pipelines and analytics platforms, leveraging Databricks (Spark, Delta Lake) and AWS cloud services
  • Lead a team of data engineers, collaborate with data scientists and business stakeholders, and ensure best practices in data engineering, security, and cloud architecture
  • Design, build, and maintain scalable ETL/ELT data pipelines using Databricks (Spark, Delta Lake) on AWS
  • Architect and implement data lake and data warehouse solutions leveraging AWS services (S3, Glue, Redshift, Lambda, EMR, etc.)
  • Lead and mentor a team of data engineers, providing technical guidance and code reviews
  • Optimize data workflows for performance, reliability, and cost efficiency
  • Collaborate with data scientists, analysts, and business teams to deliver high-quality data products
  • Ensure data quality, security, and compliance with organizational and regulatory standards
  • Drive adoption of best practices in data modeling, version control, CI/CD, and infrastructure-as-code (e.g., Terraform, CloudFormation)
  • Troubleshoot and resolve issues in production data pipelines and analytics platforms

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Deep hands-on experience with Databricks (Spark, Delta Lake, notebooks, job orchestration)
  • Strong expertise in AWS data ecosystem (S3, Glue, Lambda, IAM, etc.)
  • Proficient in Python and/or Scala for data engineering
  • Experience with SQL, data modeling, and performance tuning
  • Familiarity with CI/CD, DevOps, and infrastructure-as-code in cloud environments
  • Excellent communication and leadership skills
  • Proven leadership experience in leading and mentoring varying levels of software engineers
 
Preferred qualifications, capabilities, and skills
  • Experience with data governance, security, and compliance frameworks
  • Experience with Immuta and Data quality control systems 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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