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Full Time Data Engineer Jobs in Florida (NOW HIRING)

Senior Big Data Developer

Tampa, FL ยท On-site

$113K - $170K/yr

Citi is looking for a Senior Big Data Developer to design, build, and scale high-performance data ... Applications Development ----- Time Type: Full time ----- Primary Location: Tampa Florida United ...

New

Tampa, FL (or) Irving, TX (Onsite) Job Type: Full Time * Kinetica, Python, sql, Rest API, Design ... Work within an Agile team to collaborate with data scientists, analysts, and application developers ...

... Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance ... Shall coordinate with the AI/ML Engineer to ensure data transformations meet model training and ...

... Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance ... Azure Data Engineer Associate. Security clearance: * An active TS/SCI clearance. Location: * Doral ...

Data Lake Engineer

Doral, FL ยท On-site

$109K - $131K/yr

Job Title Data Lake Engineer Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

Data Lake Engineer The Opportunity: For an organization to transform in today's digital world, it ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

Data Lake Engineer

Doral, FL ยท On-site

$99K - $225K/yr

Data Lake Engineer The Opportunity: For an organization to transform in today's digital world, it ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ... Establish a structured framework to distinguish data science and data engineering tasks, ensuring ...

Data Architect

Tampa, FL ยท On-site

$60.25 - $77.50/hr

... Type Full time Description & Requirements Elevate your career with MANTECH International ... Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.

Data Engineering Architect

Tampa, FL ยท On-site

$60.25 - $77.50/hr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the ...

Senior Analyst, Data Modeling

Miami, FL ยท On-site

$82K - $103K/yr

The Royal Caribbean Group's Analytics Team has an exciting career opportunity for a full-time Senior Analyst, Data Modeling reporting to the Senior Manager, Data Solutions Engineering . This position ...

Showing results 41-60

Full Time Data Engineer information

What is the difference between Full Time Data Engineer vs Data Analyst?

AspectFull Time Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related; often certifications in cloud or data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentTech teams, data infrastructure projects, cloud platformsBusiness units, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsJob responsibilities, tools, and skills needed

Full Time Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems, often requiring programming and cloud skills. Data Analysts interpret data, create reports, and visualize insights, typically using analytics tools. Both roles are essential in data-driven organizations but differ in technical depth and focus areas.

What are the most commonly searched types of Data Engineer jobs in Florida? The most popular types of Data Engineer jobs in Florida are:
What are popular job titles related to Full Time Data Engineer jobs in Florida? For Full Time Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Full Time Data Engineer jobs in Florida look for? The top searched job categories for Full Time Data Engineer jobs in Florida are:
What cities in Florida are hiring for Full Time Data Engineer jobs? Cities in Florida with the most Full Time Data Engineer job openings:
Infographic showing various Full Time Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Robotics Data Pipeline Engineer - Multimodal Data

Persona AI

Pensacola, FL โ€ข On-site

$108K - $130K/yr

Full-time

Medical, PTO

Re-posted 24 days ago


Job description

Job Title: Robotics Data Pipeline Engineer - Multimodal Data
Department: Software
Reports To: Teleoperations Lead
Employment Type: Full-Time
Location: Houston, TX or Pensacola Fl
Who We Are
Persona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world's leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
Why Join Persona AI?
  • We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.
  • You'll shape technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value creativity, and continuous learning.
  • Enjoy full access to advanced tools,

About the Role
As a Data Pipeline Engineer, you will architect and scale the data infrastructure that feeds our foundation models. Your primary mission is to extract, augment, and align human dexterous manipulation data from massive complex, multi-sensor and egocentric video datasets. Crucially, you will build advanced post-processing algorithms to perform deep force analysis and infer hidden states from raw data-such as processing direct force-torque outputs to quantify grasp dynamics, estimating contact forces from visual cues, extrapolating heavily occluded hand positions, or deriving 3D geometry from 2D frames. You will use spatial, temporal, and cross-modal data augmentation to multiply the value of every minute of data our teleoperation team collects.
What You Will Be Doing
  • Multimodal Data Pipelines: Architect end-to-end ingestion pipelines that take raw, unstructured recordings-egocentric video, teleoperation sessions, third-party open datasets-and produce indexed, queryable, training-ready datasets. This includes temporal segmentation of long recordings into action clips, metadata and scene-graph extraction, embedding-based retrieval, and language annotation workflows.
  • Force Analysis & Hidden State Inference: Design cross-modal validation systems that verify video, proprioception, force/haptic signals, and language annotations agree with each other-e.g., reprojecting robot state into the image plane to confirm video-state consistency, and VLM-assisted checks that instructions match observed behavior.
  • Kinematic Retargeting & Alignment: orchestrating hand-tracking, segmentation, depth estimation, 3D reconstruction, and pose-tracking modules; retargeting human demonstrations into robot trajectories; and running simulation-in-the-loop validation (kinematic feasibility, physics replay, motion-consistency filtering) so synthesized data is physically grounded, not just visually plausible.
  • Advanced Data Augmentation: Implement robust data augmentation strategies (spatial transformations, temporal scaling, synthetic viewpoints, and sensor noise injection) to expand expert trajectories and improve the robustness of our learning models.
  • Teleoperation Synchronization: unified state-action representations across differing embodiments, coordinate frames, rotation conventions, gripper/hand parameterizations, and sampling rates-with per-dimension validity masking and per-source normalization so that adding a new robot or sensor is a configuration change, not a rewrite.
  • Close the loop with data consumers: build the tooling that lets researchers query, visualize, and audit datasets (clip browsers, trajectory viewers, annotation review UIs), and turn model-failure analyses into new curation rules and targeted re-collection requests.

What We Are Looking For
  • Education: M.S., or Ph.D. in Computer Science, Data Engineering, Machine Learning, Robotics, Mechanical Engineering, or a related field.
  • Programming & ML Frameworks: Deep expertise in Python and extensive experience with PyTorch, specifically in handling custom dataloaders for multimodal datasets.
  • Force & Time-Series Data Processing: Experience analyzing and processing complex time-series data from force-torque (F/T) sensors, load cells, or tactile arrays, ensuring pristine alignment with visual frames.
  • Video Processing Expertise: Mastery of video processing pipelines and libraries (OpenCV, FFmpeg, Decord) and managing the I/O bottlenecks of terabyte-scale video datasets.
  • Solid working knowledge of 3D geometry and robotics data: coordinate frames and transforms, rotation representations, camera intrinsics/extrinsics, forward/inverse kinematics, URDF-enough to build automated checks that catch geometric inconsistencies in the data.
  • Data Augmentation: Proven ability to implement programmatic and generative data augmentation techniques for computer vision and time-series data.

Bonus Skills
  • Experience with NVIDIA's robotic software stack (Open X-Embodiment, DROID, AgiBot World, EgoDex, or similar).
  • Familiarity with the modern perception toolbox as a user: segmentation (SAM-family), monocular depth, hand/body pose estimation (MANO/SMPL), 6-DoF object pose tracking, point tracking-you don't need to train these models, but you should be comfortable composing and evaluating them in a pipeline
  • Familiarity with distributed data processing systems (Ray, Apache Spark) for cluster computing.
  • Background in generating or utilizing synthetic robotic data via simulation (Omniverse, MuJoCo).
  • Experience integrating spatial awareness or tactile data representations (e.g., Fourier encoding) into visual pipelines.

Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.