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New Grad Data Engineer Jobs in Boca Raton, FL (NOW HIRING)

Paychex

Data Solutions Engineer

West Palm Beach, FL · On-site +1

$91.53K - $156.50K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Explore new technologies and methodologies to continuously improve systems, tools, and data ...

Chewy

AD, Data Engineering

Plantation, FL · On-site

Guide adoption of new BI capabilities (Tableau, Sigma, Omni) with consistent governance and ... Lead the integration of AI and automation into data engineering improving quality, reliability, and ...

Chewy

AD, Data Engineering

Plantation, FL

Guide adoption of new BI capabilities (Tableau, Sigma, Omni) with consistent governance and ... Lead the integration of AI and automation into data engineering improving quality, reliability, and ...

DPR Construction

MLOps Engineer

Fort Lauderdale, FL

DPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work ... Working at DPR, you'll have the chance to try new things, explore unique paths and shape your ...

Appodeal

Financial Data Analyst

Parkland, FL · On-site

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and ... Build dynamic, forecasting models that pull from historical data, update with new actuals, and ...

Catch Health

Junior Data Analyst

Fort Lauderdale, FL · On-site

$55K - $65K/yr

... New Hampshire, New Mexico, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, South ... You are not expected to walk in knowing data engineering or data architecture. RESPONSIBILITIES ...

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All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Boca Raton, FL

New Grad Data Engineer information

See Boca Raton, FL salary details

$42.2K

$123.1K

$168.4K

How much do new grad data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for new grad data engineer in Boca Raton, FL is $123,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 per year, depending on experience, location, and employer.

What is a New Grad Data Engineer job?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What are the key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does the typical day look like for a New Grad Data Engineer?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.
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What cities near Boca Raton, FL are hiring for New Grad Data Engineer jobs? Cities near Boca Raton, FL with the most New Grad Data Engineer job openings:
New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Boca Raton, FL as of May 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $123,096 per year, or $59.2 per hour.

Sr. Data Engineer (ONSITE)

TRAC Recruiting

Pembroke Pines, FL

$110K - $120K/yr

Full-time

Posted 17 days ago

Job description

We are seeking a Sr. Data Engineer (100% ONSITE). This is a full time and direct hire role for one of our amazing partners west of Fort Lauderdale, Florida. This role does NOT offer sponsorship, it's NOT a consulting role, it's NOT remote, and we do NOT work with 3rd parties.


Overview:

This Senior Data Engineer will play a key role in designing, building, and optimizing scalable data pipelines and data warehouse solutions. You should have deep expertise in Microsoft SQL Server, ETL development, and data integration. You will be doing hands-on work with SQL development, performance tuning, and integration frameworks. You will also collaborate across business and technical teams.


Responsibilities:

  • Using SQL Server Development to design, develop, and maintain complex T-SQL queries, stored procedures, views, and functions.
  • You will optimize query performance and troubleshoot bottlenecks and implement indexing strategies and database tuning techniques.
  • Doing data integration & ETL to build and maintain ETL pipelines using SSIS, Azure Data Factory and other tools.
  • You will integrate data from multiple sources (APIs, flat files, relational systems), and ensure data quality, consistency, and integrity across systems.
  • Design and maintain data warehouse schemas like Star and Snowflake), implement dimensional modeling (facts, dimensions), and support reporting and analytics requirements.
  • It's preferred if you can work with cloud and modern data platforms. That includes working with Azure Data Services (ADF, Synapse, Azure SQL, Data Lake) and migrating on-prem data solutions to cloud environments.
  • You will monitor and optimize ETL jobs and SQL Server performance by conducting root cause analysis for performance issues and implementing best practices for scalability and reliability.
  • Make sure the top problem queries/procs are tuned with measurable performance gains and stable production behavior.
  • Create new database features to be delivered with minimal rework, clean documentation, and consistent SQL standards.
  • Make sure that any production issues are diagnosed quickly with clear root cause and preventative fixes to reduce repeat incidents.
  • Make sure that Power BI datasets refresh reliably and faster due to improved SQL design and aligned metric definitions.


Requirements:

  • At least 7 years of experience in SQL Server development.
  • Strong experience with T-SQL, stored procedures and query optimization.
  • Experience with data warehousing and dimensional modeling.
  • Strong experience with ETL tools like SSIS, and Azure Data Factory.
  • Strong understanding of data integration patterns and best practices.
  • Experience working in healthcare, finance, or enterprise consulting environments is a plus.
  • Experience with Azure Cloud (ADF, Synapse, Azure SQL) is a plus.
  • Experience with Power BI or reporting tools is a plus.
  • Experience with CI/CD pipelines for data solutions is a plus.
  • Experience working with large-scale data platforms is a plus.
  • Experience with Python or Spark is a plus
  • Ability to work onsite with cross-functional teams and to clearly communicate with non-technical stakeholders.


All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. You must be legally authorized to work in the United States without current or future sponsorship.