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Entry Level Databricks Jobs in Boston, MA (NOW HIRING)

Data Validation Risk - Senior Associate

Boston, MA

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Python, Databricks, or Snowflake - Engaging in continuous learning to adapt to emerging data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

We Do Consulting Differently The Associate position is a full-time entry level consulting staff ... Databricks, or Teradata is highly desirable. The willingness and interest to expand into these ...

Entry Level Databricks information

See Boston, MA salary details

$44K

$93.8K

$154.8K

How much do entry level databricks jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level databricks in Boston, MA is $93,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $112,400.00 per year, depending on experience, location, and employer.

What is an entry level Databricks job?

Entry level Databricks jobs are positions for individuals who are new to working with Databricks, a cloud-based platform for big data analytics and machine learning. These roles often involve assisting with data pipeline development, managing datasets, and supporting data engineering or data analytics projects under supervision. Typical responsibilities include writing basic code in Python or SQL, helping to prepare data for analysis, and learning to use Databricks tools and features. These jobs are a great starting point for those interested in data engineering or data science careers and typically require foundational knowledge in programming and data concepts.

What skills and qualifications are needed to thrive as an entry level Databricks professional?

To thrive as an Entry Level Databricks professional, you need a solid understanding of data engineering or data analytics, proficiency in Python or Scala, and a basic grasp of distributed computing concepts. Familiarity with Databricks platform tools, Apache Spark, and cloud services like AWS or Azure is highly valued, and completing Databricks certification courses can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in collaborative, data-driven environments. These skills and qualities are crucial for efficiently managing big data workflows, troubleshooting issues, and contributing to team success in data analytics projects.

What are common challenges faced by entry level Databricks professionals, and how can they overcome them?

Entry-level Databricks professionals often encounter challenges such as understanding distributed computing concepts, efficiently writing Spark code, and managing data pipelines in a collaborative environment. To overcome these hurdles, it's helpful to engage in hands-on practice with Databricks notebooks, participate in team code reviews, and leverage Databricks' comprehensive documentation and community forums. Working closely with more experienced data engineers or data scientists can also accelerate learning and help new team members adapt to the platform's best practices.

How to trigger a job in Entry Level Databricks?

To trigger a job in Entry Level Databricks, you can manually start it through the Databricks workspace by navigating to the Jobs tab and clicking the 'Run Now' button. You can also schedule jobs using the Databricks job scheduler or trigger them via API calls with appropriate authentication tokens. Familiarity with Spark, notebooks, and job configurations is helpful for managing and automating job executions.

What are the most commonly searched types of Databricks jobs in Boston, MA?

The most popular types of Databricks jobs in Boston, MA are:

What job categories do people searching Entry Level Databricks jobs in Boston, MA look for?

The top searched job categories for Entry Level Databricks jobs in Boston, MA are:

Infographic showing various Entry Level Databricks job openings in Boston, MA as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $93,844 per year, or $45.1 per hour.

Data Validation Risk - Senior Associate

Pwc

Boston, MA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 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, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Data Validation Risk - 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 Risk & Regulatory practice, you will focus on designing and building data infrastructure and systems to enable 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 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 solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role at PwC, you will leverage advanced technologies and techniques to design and develop robust data validation solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will contribute to the firm's code of conduct and independence requirements.
Responsibilities
- Utilizing data validation tools to facilitate efficient data conversions and ERP implementations
- Developing data integration and transformation solutions to support client needs
- Building and maintaining data infrastructure to support scalable data solutions
- Applying data lifecycle and governance skills (data lineage, traceability, data quality, reliability and accuracy) on data and ERP implementations
- Managing data validation processes to maintain data quality and integrity
- Collaborating with clients to understand their data requirements and deliver tailored solutions
- Manipulating large and complex data sets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake
- Engaging in continuous learning to adapt to emerging data technologies and methodologies
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
- Ability to manipulate large and complex data sets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake
- Utilizing advanced skills in data validation and transformation processes
- Applying analytical thinking to solve complex data challenges
- Leveraging experience with cloud platforms such as AWS and Azure
- Experience related to IT Audit/SOX or Data Migration/Conversion/Integration
- Embracing change and demonstrating learning agility in dynamic environments

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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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