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Entry Level Databricks Developer Jobs (NOW HIRING)

Associate Solutions Architect

Arlington, VA · Remote

$72.50 - $95.50/hr

... engineers, technical leads, and customer stakeholders to support solutions across Databricks, AWS, Microsoft Azure, Oracle Cloud, and on-premises environments. This is an entry-level opportunity for ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

NC · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

Showing results 41-60

Entry Level Databricks Developer information

See salary details

$29.5K

$100.3K

$241.5K

How much do entry level databricks developer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level databricks developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What does an entry level Databricks developer do?

An Entry Level Databricks Developer works with the Databricks platform to help organizations process and analyze large datasets. Their responsibilities typically include developing data pipelines, writing and optimizing Spark jobs, and collaborating with data engineers and analysts to transform raw data into useful insights. They use programming languages like Python, SQL, or Scala within the Databricks environment and often support data integration and automation efforts. Entry-level developers focus on learning best practices and gaining experience with big data tools and cloud platforms.

What are the typical projects and team dynamics experienced by an entry level Databricks developer?

As an Entry Level Databricks Developer, you will typically work on projects involving data pipeline development, ETL processes, and collaborative data analysis using Databricks and Apache Spark. You’ll often be part of a cross-functional team that includes data engineers, data scientists, and business analysts, collaborating to solve data-driven business challenges. The work environment is usually fast-paced, with frequent code reviews, agile sprints, and mentorship from senior developers. This structure helps you quickly build technical expertise while gaining exposure to best practices in big data and cloud-based analytics.

What are the key skills and qualifications needed to thrive as an entry level Databricks developer, and why are they important?

To thrive as an Entry Level Databricks Developer, you need a solid understanding of Python or Scala, basic data engineering concepts, and a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms like Azure or AWS, and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and adapt to evolving project needs. These skills and qualifications are crucial for efficiently developing, managing, and optimizing big data solutions in enterprise environments.

What is the difference between Entry Level Databricks Developer vs Data Engineer?

AspectEntry Level Databricks DeveloperData Engineer
Required CredentialsBasic knowledge of Spark, SQL, and cloud platforms; often a degree in CS or related fieldSimilar credentials; often includes certifications in cloud platforms and data tools
Work EnvironmentFocus on developing and optimizing Spark/Databricks notebooks, collaborating with data teamsDesigning, building, and maintaining data pipelines and infrastructure
Industry UsageUsed in companies leveraging Databricks for data analyticsUsed across industries for large-scale data processing and storage

While both roles require knowledge of Spark and cloud platforms, an Entry Level Databricks Developer primarily focuses on developing data solutions within Databricks, whereas a Data Engineer handles broader data pipeline architecture and infrastructure. The roles often overlap but differ in scope and responsibilities.

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What job categories do people searching Entry Level Databricks Developer jobs look for?

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Infographic showing various Entry Level Databricks Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

Tax Innovation - Data Governance- Senior Associate

Pwc

Chicago, IL

$77K - $214K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Tax Innovation - Data Governance Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations.
In this role at PwC, you will be at the forefront of data engineering, focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your work will be integral to transforming data into insights that drive business growth and enable informed decision-making.
Responsibilities
- Designing and implementing data pipelines to facilitate efficient data processing and analysis
- Developing data integration and transformation solutions to support client decision-making
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data architecture development
- Building and maintaining data infrastructure to support robust data solutions
- Applying analytical thinking to transform raw data into actionable insights
- Managing database security and data anonymization to uphold data integrity
- Collaborating with teams to optimize data strategy and performance tuning
- Leveraging Snowflake Data Warehouse and Snowflake Schema for advanced data modeling
- Validating data quality and executing data validation processes to maintain accuracy
- Navigating complex client situations to build meaningful relationships and deliver quality solutions
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Utilizing Azure Data Factory and Microsoft Azure Databricks
- Developing data architecture and data integration strategies
- Implementing data anonymization and database security best practices
- Excelling in analytical thinking and problem-solving
- Navigating complex data engineering platforms like Snowflake and Databricks
- Demonstrating creativity and intellectual curiosity in data solutions

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $77,000 - $214,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK