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Data Engineer Entry Level Jobs in Boca Raton, FL

AI Engineer

Boca Raton, FL · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Strong proficiency with data manipulation language including optimization techniques. Strong ... Train entry-level software engineers as directed by department management, ensuring they are ...

... Data Management. You can learn more about LexisNexis Risk at the link below, About the Role: This ... entry-level software engineers as directed by department management, ensuring they are ...

... Data Management. You can learn more about LexisNexis Risk at the link below, About the Role: This ... entry-level software engineers as directed by department management, ensuring they are ...

West Palm Beach, FL Travel: 75% Position Summary The Project Engineer I is an entry-level role ... We collect and use your personal data to manage the recruitment process, including assessing your ...

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Data Engineer Entry Level information

See Boca Raton, FL salary details

$42.3K

$123.2K

$168.6K

How much do data engineer entry level jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data engineer entry level in Boca Raton, FL is $123,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,800.00 and $130,600.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Boca Raton, FL? The most popular types of Data Engineer jobs in Boca Raton, FL are:
What are popular job titles related to Data Engineer Entry Level jobs in Boca Raton, FL? For Data Engineer Entry Level jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Boca Raton, FL look for? The top searched job categories for Data Engineer Entry Level jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Engineer Entry Level jobs? Cities near Boca Raton, FL with the most Data Engineer Entry Level job openings:
Infographic showing various Data Engineer Entry Level job openings in Boca Raton, FL as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $123,225 per year, or $59.2 per hour.

AI Engineer

Pwc

Boca Raton, FL • On-site

$55K - $187K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI Engineer, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Internal Firm Services practice, 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. As a Senior Associate, you will leverage your skills to analyze complex problems, mentor others, and maintain professional standards. You will focus on building relationships and developing a deeper understanding of the business context, learning how to manage and inspire others.
In this role, you will design AI systems, engage in data wrangling, and implement software to make AI models useful and scalable. You will be expected to anticipate the needs of your teams and stakeholders, delivering quality solutions while navigating increasingly complex situations. Embracing ambiguity, you will use these moments as opportunities for growth, asking questions and developing your personal brand. This position offers a chance to deepen your technical skills and contribute to the firm's overall business strategies.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models using Python and TensorFlow
- Integrating data from diverse sources to support AI and machine learning solutions
- Conducting complex data analysis to identify patterns and trends for informed decision-making
- Collaborating with internal teams to enhance data infrastructure and integration processes
- Utilizing natural language processing techniques to improve text analytics and sentiment analysis
- Applying deep learning and neural network methodologies to optimize AI model performance
- Managing data pipelines to validate efficient data flow and processing
- Building and maintaining relationships with stakeholders to align AI initiatives with business objectives
- Mentoring junior team members in AI implementation and data engineering practices
What You Must Have
- At least a Bachelor's degree or, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in Engineering with AI and Machine Learning for each missing year of college is required
- At least 2 years of experience
What Sets You Apart
- In at least one of the following fields of study: Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology
- 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
- Utilizing AI implementation and machine learning libraries
- Excelling in complex data analysis and data modeling
- Demonstrating proficiency in Python and TensorFlow
- Navigating ambiguity with critical thinking and problem-solving
- Building meaningful client connections and managing relationships

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position is: $55,000 - $187,000. 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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