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Entry Level Databricks Jobs in Maryland (NOW HIRING)

... Databricks, Snowflake, or related data and AI credentials - Demonstrating proficiency in AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Databricks information

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 Maryland?

The most popular types of Databricks jobs in Maryland are:

What are popular job titles related to Entry Level Databricks jobs in Maryland?

For Entry Level Databricks jobs in Maryland, the most frequently searched job titles are:

Infographic showing various Entry Level Databricks job openings in Maryland as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

AI & GenAI Data Scientist - Manager

Pwc

Baltimore, MD • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 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

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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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