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

Sr. Staff Software Engineer- Data

Sunrise, FL · On-site

$109K - $131K/yr

UKG is seeking a highly skilled and experienced engineer to join our Data Platform team. This role requires a self-motivated individual with a deep understanding of Data Warehouse, Near-real time ...

The Senior Data Developer will be, extracting, transforming, and loading data from various sources (external and internal) into an enterprise-wide MDM, transactional database and data warehousing ...

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and transformations, - ensure correct data mapping and lineage. * Maintain and improve the financial ...

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and transformations, - ensure correct data mapping and lineage. * Maintain and improve the financial ...

The ideal candidate will work closely with business stakeholders, data engineering teams, and leadership to deliver scalable and high performing analytics solutions aligned with business goals. Key ...

New

The ideal candidate will work closely with business stakeholders, data engineering teams, and leadership to deliver scalable and high performing analytics solutions aligned with business goals. Key ...

New

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

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Data Engineer information

See Boca Raton, FL salary details

$42.2K

$123.1K

$168.4K

How much do data engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 jobs in Boca Raton, FL? For Data Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Boca Raton, FL look for? The top searched job categories for Data Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Engineer jobs? Cities near Boca Raton, FL with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Boca Raton, FL as of July 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $123,096 per year, or $59.2 per hour.
Sr. Staff Software Engineer- Data

Sr. Staff Software Engineer- Data

UKG, Inc.

Sunrise, FL • On-site

$109K - $131K/yr

Full-time

Re-posted 4 days ago


UKG rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

87th of 209 rated software companies


Job description

Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.
Job Summary:
UKG is seeking a highly skilled and experienced engineer to join our Data Platform team. This role requires a self-motivated individual with a deep understanding of Data Warehouse, Near-real time analytics, CDC Eventing Platform and a passion for implementing highly scalable solutions that meet our customers' business needs. The ideal candidate will have a proven track record designing and implementing cloud solutions that support large-scale data operations. They will also have a collaborative attitude, and a strong desire to strive for development standards and efficiencies. The candidate must be able to collaborate with others and successfully leverage their team to deliver on a multitude of project initiatives. Additionally, great organizational and communication skills, a keen sense of process improvement, and a strong desire to solve business problems are essential in this role.
Duties and Responsibilities:
  • Provide technical leadership and support to UKG Data Platform engineering teams
  • Develop and maintain data systems, including but not limited to components for data flow, data storage, data retrieval, communication protocols, security, deployment processes, observability and integration points for high-volume data storage and retrieval across disparate systems.
  • Evaluate and choose appropriate programming languages, frameworks, databases, and other technologies based on project needs
  • Identify potential bottlenecks and design solutions to measure and optimize system performance and scalability
  • Define and enforce CI/CD standards, development methodologies, and quality assurance processes
  • Implement security measures to protect sensitive data and prevent vulnerabilities within the system
  • Partner with multiple stakeholders to understand requirements and translate those into technical designs
  • Document and communicate design decisions clearly to other developers, provide technical guidance, and resolve technical challenges
  • Champion best practices in development, quality, and security while serving as a mentor and fostering a culture of technical excellence and innovation
  • Stay abreast of new technologies and industry standards
  • Become proficient with our core products and support, educate and lead the group in such discussions

Basic Qualifications:
  • 8+ years of software engineering experience, including 3+ years in lead or staff-level positions.
  • Experience architecting enterprise data lakes, lakehouse platforms, or real-time streaming data systems.
  • Strong programming skills in Python, Java, Scala, or similar languages used in data engineering.
  • Deep experience building distributed data systems using GCP services (AWS is also acceptable), including BigQuery, Postgres, AlloyDB, Dataflow (Beam), Dataform, and Pub/Sub.
  • Leverage AI coding agents such as Claude Code or Codex to accelerate software development, including generating production-ready code, refactoring existing systems, debugging complex issues, and improving engineering throughput while maintaining code quality, security, and architectural standards.
  • Experience designing security-first data pipelines with privacy-preserving transformations.
  • Ability to break ambiguous problems into structured designs and actionable plans.
  • Demonstrated ability to mentor engineers and influence technical direction across teams.
  • Strong experience integrating data-science workflows or ML/analytical models into production systems.
  • Strong exposure for highly reliable, scalable, secure, and decoupled solution
  • Strong exposure of Continuous Integration and Continuous Delivery process (CI/CD)
  • Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels of the organization.

Preferred Qualifications:
  • Understanding of data modeling, partitioning strategies, schema evolution, and cost-efficient query optimization.
  • Experience working with large-scale structured and unstructured datasets in cloud-based environments.
  • Experience improving platform reliability through observability, data quality frameworks, and automated validation techniques.
  • Experience operating in regulated environments with strong data compliance and audit requirements.

Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer:
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify. View the E-Verify posters here.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $145,600 to $209,300 The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG's benefits and rewards at https://www.ukg.com/about-us/careers/benefits

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