Top 2334 Data engineering Jobs in Tampa, Fl

Data Science & Analytics Technical Lead
Agile Defense —Tampa, FL
- Management
- Computer Science
- Office
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Specialist - Product Engineering
LTM —Tampa, FL
- $90,032 - $134,200 a year
- 5 years
- Java
- SQL
- Paid parental leave
- Paid holidays
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Data Engineer - MDM
Philip Morris International U.S. —Tampa, FL
- $88,000 - $110,000 a year
- Full-time
- 5 years
- Engineering
- SQL
- Commuter assistance
- Health insurance
Senior Manager Data Enablement
Philip Morris International U.S. —Tampa, FL
- $160,000 - $200,000 a year
- Full-time
- Computer Science
- 8 years
- SQL
- Commuter assistance
- Health insurance
Program Manager
Philip Morris International U.S. —Tampa, FL
- $120,000 - $150,000 a year
- Full-time
- English
- 8 years
- Presentation skills
- Commuter assistance
- Health insurance
Specialist - Data Engineering
LTM —Tampa, FL
- $90,032 - $134,200 a year
- 6 years
- Computer Science
- Master's degree
- Paid parental leave
- Paid holidays
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Tech Lead - Data Engineering - Tampa
Photon —Tampa, FL
- $52,000 - $182,000 a year
- Full-time
- SQL
- Senior level
- 10 years
- Paid holidays
- Health insurance
Data Engineer II, AI Enablement
Avalon Administrative Services LLC —Tampa, FL
- Full-time
- Remote
- Mid-level
- Office
- SQL
- Health insurance
Data Engineer (BI)
Bridgeway Benefit Technologies —Tampa, FL
- Remote
- Computer science
- Computer Science
- HIPAA
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Associate Data Engineer
Baker Tilly Advisory Group, LP —Tampa, FL
- $85,910 - $162,890 a year
- Full-time
- Computer Science
- DevOps
- Research
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Engineering Data Coordinator
Keller North America, Inc. —Tampa, FL
- Office
- Administrative experience
- Continuous improvement
Data Scientist-Mid
General Dynamics Information Technology —Tampa, FL
- $114,750 - $155,250 a year
- Computer Science
- 5 years
- Mid-level
- Paid time off
- 401(k) matching
6d
Data Analytics Architect
Tampa Electric Company —Tampa, FL
- 8 hour shift
- 7 years
- Azure
- Computer Science
- Paid holidays
- Dental insurance
Python Data Engineer
Black Cape —Tampa, FL
- Full-time
- Mid-level
- Windows
- SQL
- 401(k)
- Tuition reimbursement
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Data Engineer, Mid
Booz Allen Hamilton —Tampa, FL
- $61,900 - $141,000 a year
- Full-time
- Azure
- Mid-level
- Office
- Disability insurance
- Health insurance
Building Data Analyst, Facility Operations
McKinstry —Tampa, FL
- $76,320 - $109,980 a year
- Data analysis skills
- Mid-level
- 3 years
- Profit sharing
- Commuter assistance
Enterprise Analytics Data Engineer
Tampa Electric Company —Tampa, FL
- 8 hour shift
- 7 years
- Azure
- Computer Science
- Paid holidays
- Dental insurance
Desktop Systems Technician
General Dynamics Information Technology —Tampa, FL
- $68,000 - $92,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- 401(k) matching
Desktop Systems Administrator
General Dynamics Information Technology —Tampa, FL
- $70,550 - $95,450 a year
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- 401(k) matching
Senior Data Engineer
LTM —Tampa, FL
- $83,912 - $113,900 a year
- Senior level
- Paid parental leave
- Paid holidays
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13d

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Data Science & Analytics Technical Lead

Agile Defense -
Tampa, FL

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Job Details

Qualifications

Managing projects

Full Job Description

About Agile Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.

Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1706

Job Title: Data Science & Analytics Technical Lead

Location: Tampa, FL

Clearance Level: Top Secret / SCI, Must Have Clearance to Start

Job Description

The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionalble insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.

Job Duties:

Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems.
Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas.
Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources.
Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems.
Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects. Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable.
Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness. Evaluate and apply cutting-edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation.
Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning.
Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models.

Education and Background

Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (masters degree or PhD strongly preferred)., and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.

Years of Experience

5+ years

Required Skills

The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionable insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.
Have active active TS/SCI clearance

Preferred Skills

Five years of experience working in SOF analytical support
Three years experience centrally managing distributed data support teams in SOF organizations HQ echelon
Three years experience with SOF digital capabilities
Three years experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Command

Working Conditions

General Office Environment

Our Core Values

Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.

What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.

Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Refine Your Search

data engineering jobs in tampa, fl

Data Science & Analytics Technical Lead

Specialist - Product Engineering

Data Engineer - MDM

Senior Manager Data Enablement

Program Manager

Specialist - Data Engineering

Tech Lead - Data Engineering - Tampa

Data Engineer II, AI Enablement

Data Engineer (BI)

Associate Data Engineer

Engineering Data Coordinator

Data Scientist-Mid

Data Analytics Architect

Python Data Engineer

Data Engineer, Mid

Building Data Analyst, Facility Operations

Enterprise Analytics Data Engineer

Desktop Systems Technician

Desktop Systems Administrator

Senior Data Engineer

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