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Senior Data Analytics Engineer Jobs in Boca Raton, FL

Data & AI Platform Engineer

Boca Raton, FL

$108K - $130K/yr

... senior engineers. Job Responsibilities Platform Operations & Enablement * Support day-to-day ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... * Sr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re ...

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Build and optimize micro‑batch data pipelines with refresh intervals of ~1-2 minutes * Ensure pipelines meet strict performance SLAs, including sub‑two‑minute refresh KPIs * Write and optimize ...

Senior Data Architect

Deerfield Beach, FL · On-site

$65 - $87/hr

... Devops CI/CD pipelines to promote Synapse Databases and Data pipelines from non-production to ... Works directly with Data Analysts, Solution Architects and Vendors to understand and validate ...

Showing results 41-60

Senior Data Analytics Engineer information

See Boca Raton, FL salary details

$76.6K

$119.5K

$165.6K

How much do senior data analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior data analytics engineer in Boca Raton, FL is $119,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $136,200.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are the most commonly searched types of Data Analytics Engineer jobs in Boca Raton, FL?

The most popular types of Data Analytics Engineer jobs in Boca Raton, FL are:

What are popular job titles related to Senior Data Analytics Engineer jobs in Boca Raton, FL?

For Senior Data Analytics Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Boca Raton, FL look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Senior Data Analytics Engineer jobs?

Cities near Boca Raton, FL with the most Senior Data Analytics Engineer job openings:

Infographic showing various Senior Data Analytics Engineer job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,521 per year, or $57.5 per hour.

Senior Data Scientist

Kforce Technology Staffing

Deerfield Beach, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

RESPONSIBILITIES:
Kforce has a client in Deerfield Beach, FL that is seeking a Senior Data Scientist.
Key Responsibilities:
* Model Development: Design, implement, and optimize machine learning models utilizing the Microsoft technology stack (Azure AI Foundry, Azure ML, Azure SQL Managed Instance, Azure Synapse Analytics) to solve supply chain challenges, including demand forecasting, optimization, and logistics planning
* Data Analysis: Utilize statistical analysis and data mining techniques to interpret complex data sets, identifying trends, patterns, and anomalies
* Deployment: Work with architects to deploy machine learning models into production environments, ensuring scalability, performance, and integration with existing systems
* Collaboration: Work closely with cross-functional teams, including the business, end users and IT, to understand business needs and translate them into data-driven solutions
* Presentation: Prepare and present findings, complex models, and statistical outputs to leadership and stakeholders, ensuring clarity and actionable insights
* Use Case Development: Understand various business opportunity areas and underlying data to assess potential value propositions. Including suitability for advanced analytics solutions and making recommendations on best approach
REQUIREMENTS:
* Education: Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
* Experience: 5+ years of experience as a data scientist, with a strong focus on supply chain management and problem-solving
* Proficiency in Python and experience with data manipulation libraries (e.g., Pandas, NumPy)
* Experience with Oracle Databases
* Strong SQL skills
* Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
* Familiarity with Azure cloud platforms and data warehousing solutions
* Communication Skills: Strong ability to present complex data insights and models to non-technical stakeholders
* Analytical Mindset: Proven problem-solving skills with a strong focus on data-driven decision-making
Preferred Qualifications:
* Experience in supply chain optimization tools and methodologies particularly in the Automotive Industry
* Knowledge of data visualization tools (Power BI) to communicate findings effectively
* Experience with Microsoft Fabric
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US