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Data Engineer Entry Level Jobs in Boca Raton, FL

... 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 ...

Strong documentation, attention to detail, and data integrity mindset. The Microbiology & Cleaning ... This is a hands-on, entry-level role ideal for a recent Master's graduate with strong microbiology ...

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Data Engineer Entry Level information

See Boca Raton, FL salary details

$42.1K

$122.7K

$167.9K

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

As of Jun 19, 2026, the average yearly pay for data engineer entry level in Boca Raton, FL is $122,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $130,100.00 per year, depending on experience, location, and employer.

Can I get a data engineer job with no experience?

Entry-level data engineering roles typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or Spark. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or personal projects can improve your chances of securing an entry-level position.

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.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on more strategic and complex aspects of data management and analysis.

What engineer makes $500,000 a year?

While most entry-level data engineers do not earn this level of salary, highly experienced data engineers working in finance, technology, or consulting firms can reach or exceed $500,000 annually, especially with bonuses and stock options. Such salaries typically require advanced skills in big data tools, cloud platforms, and extensive industry experience.

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.

Is data engineering an entry level job?

Data engineering can be an entry level position, especially for roles that focus on basic data pipeline development and require foundational skills in SQL, Python, or cloud platforms. However, many data engineering roles prefer candidates with some experience or knowledge of big data tools like Hadoop or Spark, making some positions more suitable for those with intermediate skills.

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 June 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,726 per year, or $59 per hour.

Quantitative Developer

Quanta Search

West Palm Beach, FL

Other

Posted 9 days ago


Job description

Our client is a well-established andprosperous asset management firm. TheirTechnology Department is seeking an entry level developer to join its team. The position reports to the Lead Developer and is an integral part of the research, development and deployment of the quant group's trading and risk systems.The qualified candidate will have opportunity to leverage their skills as a data scientist to work on technically challenging and rewarding projects.Job Responsibilities
As a Quantitative Developer you will be responsible for but not limited to the following:
  • Assist in identifying, cleaning and curating alpha generating data sets for studies and back-testing.
  • Build libraries and applications for trading and risk analysis with an emphasis on stability, testability and clarity.
  • Ensure that strategies are deployed efficiently and monitored effectively. through a deep understanding of Linux and dev-ops and attention to detail
  • Maintain existing risk analysis and reporting systems
  • Assist with other projects as needed
Qualifications & RequirementsThe successful candidate will have the following qualifications & requirements:Behavior:
  • Demonstrated creativity in coding to solve interesting problems
  • Demonstrated independent thought and ability to defend position
  • Can work independently as well as with a team
  • Detail oriented
Technical:
  • Minimum of bachelor's degree in Computer or Data Sciences from an accredited school
  • Intermediate knowledge of Python 3.x: Familiarity with pandas and NumPy are highly desirable.
  • Intermediate understanding of Linux with specific experience using Linux file systems, developing code in a terminal environment and reading/writing Bash
  • Ability to read and write SQL queries and familiarity with SQL concepts like views, stored procedures and common table expressions.
  • Basic understanding of GIT
  • Basic understanding of probability and random variables. Basic understanding of linear regression and forecasting.