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Remote Informatica Developer Jobs in Gainesville, FL

Feathr

Principal Platform Engineer

Gainesville, FL · Remote

$165K - $180K/yr

Fully Remote, Health/ Dental/ Vision, Paid Holidays/ Vacation/ Sick time, and more! Your Work: As a ... You're methodical under pressure and confident making decisions with incomplete information.

Amteck, LLC

BIM Technician - Electrical

Gainesville, FL · On-site +1

... Information Modeling (BIM) Technician to support our construction and engineering teams through ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

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Remote Informatica Developer information

See Gainesville, FL salary details

$9

$54

$70

How much do remote informatica developer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for remote informatica developer in Gainesville, FL is $54.08, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $60.96 per hour, depending on experience, location, and employer.

What does a typical day look like for a Remote Informatica Developer?

A typical day for a Remote Informatica Developer involves designing and developing ETL processes, troubleshooting data integration issues, and collaborating with business analysts and other IT team members to refine data requirements. You might participate in virtual meetings, review and optimize existing code, and document processes to support ongoing data initiatives. Most Remote Informatica Developers work within Agile teams, balancing independent tasks with regular team check-ins. Strong communication skills are crucial, as much of the collaboration happens through email, project management tools, and video conferencing.

What are the key skills and qualifications needed to thrive in the Remote Informatica Developer position, and why are they important?

To thrive as a Remote Informatica Developer, you need solid experience in data integration, ETL development, and SQL, typically backed by a degree in computer science or a related field. Familiarity with Informatica PowerCenter, cloud data platforms, and relevant certifications like Informatica Certified Professional are highly valued. Strong problem-solving skills, effective communication, and the ability to manage time independently are important soft skills for this remote role. These capabilities ensure that projects are delivered efficiently, complex data challenges are handled adeptly, and successful collaboration occurs across geographically dispersed teams.

What is a Remote Informatica Developer job?

A Remote Informatica Developer is an IT professional who specializes in developing, maintaining, and optimizing data integration workflows using Informatica tools while working from a remote location. They design and implement ETL (Extract, Transform, Load) processes to support business intelligence and data warehousing needs. Responsibilities typically include data modeling, performance tuning, and troubleshooting integration issues. This role requires strong SQL skills, knowledge of data governance practices, and experience with cloud-based or on-premises Informatica environments. Remote developers collaborate with teams via online communication tools to ensure seamless data processing and reporting.

What job categories do people searching Remote Informatica Developer jobs in Gainesville, FL look for? The top searched job categories for Remote Informatica Developer jobs in Gainesville, FL are:
What cities near Gainesville, FL are hiring for Remote Informatica Developer jobs? Cities near Gainesville, FL with the most Remote Informatica Developer job openings:
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SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Posted 20 days ago

Job description

Satlantis is a leading-edge company specializing in high-performance satellite technology and data processing. We are at the forefront of innovation, developing advanced solutions for Earth observation and space exploration. Join our dynamic team in Gainesville, Florida, and contribute to groundbreaking projects that shape the future of satellite technology. For more information about the company, please visit www.satlantis.com .
Position Summary
We are seeking a highly motivated and experienced Senior Computer Vision Engineer with strong technical leadership to drive Satlantis US's computer vision and imagery understanding initiatives. The ideal candidate combines deep expertise in modern vision systems with pragmatic delivery: you will design, develop, evaluate, and deploy computer vision models and pipelines that operate on large-scale satellite imagery and geospatial data products.
This is a hands-on role where you will own vision workstreams end-to-end-from problem definition and dataset strategy to model development, production deployment, performance optimization, and iteration-while setting engineering standards, mentoring teammates, and partnering closely with engineering, product, and mission teams. You will help ensure our computer vision systems are accurate, robust, scalable, and operationally effective in real-world Earth-observation workflows.
What you'll do:
  • Own your developments. Lead high-impact computer vision initiatives such as segmentation, object detection, classification, image matching, semantic retrieval, change detection, tracking, and anomaly detection over satellite imagery and derived geospatial products, delivering measurable improvements in model quality and operational outcomes.
  • Translate problems into vision systems. Convert customer needs, mission requirements, and research goals into well-scoped computer vision problems, define success metrics and KPIs (e.g. precision/recall, mAP, IoU, F1, latency, throughput, memory footprint), and establish acceptance criteria and validation plans.
  • Design datasets that win. Drive dataset strategy for vision applications, including annotation protocols, tiling and sampling strategies, class balance, hard-negative mining, augmentation policies, domain-shift analysis, and label-quality audits. Establish repeatable dataset versioning and documentation practices.
  • Build robust training and evaluation pipelines. Implement reproducible experimentation, benchmarking, ablation studies, and error-analysis workflows for computer vision models, including geospatially aware evaluation where applicable.
  • Advance model architectures. Develop and improve state-of-the-art computer vision approaches, including CNNs, transformers, encoder-decoder architectures, self-supervised learning, multi-modal fusion, and foundation-model adaptation for remote sensing imagery. Optimize solutions for real operational constraints such as image resolution, viewing conditions, atmospheric noise, and multi-temporal data.
  • Operationalize vision models. Partner with software and platform engineers to productionize vision systems, including model packaging, inference optimization, deployment pipelines, monitoring, drift detection, versioning, rollback strategies, and performance tuning across heterogeneous compute environments.
  • Raise the engineering bar. Set standards for code quality, reproducibility, model validation, benchmarking, documentation, and peer review. Write clear technical design documents and decision memos that align stakeholders and accelerate execution.

Skills and experience (required):
  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Remote Sensing, Robotics, or a related field.
  • 3+ years of professional experience in computer vision, machine learning, or applied AI, including delivering vision models into production or operational workflows.
  • Strong proficiency in Python for machine learning and computer vision workflows; ability to write clean, maintainable, and well-tested code.
  • Deep knowledge of computer vision fundamentals, including image representations, feature extraction, geometric reasoning, dense prediction, detection, segmentation, and model evaluation.
  • Hands-on experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow, and practical experience implementing modern vision architectures.
  • Strong understanding of training and inference optimization, including data loading efficiency, batching, mixed precision, model compression, and performance-aware experimentation.
  • Experience working with large-scale imagery or visual datasets and building pipelines that are reliable and reproducible.
  • Strong communication skills, with the ability to explain complex technical trade-offs clearly to cross-functional stakeholders.

Nice to have (preferred)
  • Geospatial / satellite domain experience: GDAL, Rasterio, projections/CRS, tiling strategies, GeoTIFF/COG/NetCDF, STAC/PgSTAC, and geospatial image-quality considerations.
  • Remote-sensing computer vision: experience with multi-spectral or panchromatic imagery, super-resolution, image fusion, orthorectification-aware workflows, and change detection in Earth-observation contexts.
  • Spatiotemporal vision modeling: time-series imagery, temporal fusion, motion/change analysis, event detection, or tracking across repeated satellite captures.
  • MLOps / production AI: model serving, monitoring, experiment tracking (e.g. W&B, MLflow, CometML), orchestration (Airflow, Argo, ZenML), and lifecycle management.
  • Cloud & compute: experience training and running inference on AWS/GCP/Azure and on-prem HPC/cluster environments, including SLURM-managed GPU/CPU fleets and Kubernetes-based infrastructure; strong understanding of containers, distributed training, GPU scheduling, storage/performance bottlenecks, and cost/performance tuning.
  • Foundation models for vision / Earth observation: fine-tuning, embedding extraction, retrieval systems, transfer learning, promptable models, and multimodal representation learning.
  • C++ or performance-oriented deployment experience: OpenCV, ONNX, TensorRT, Triton Inference Server, CUDA optimization, or edge/real-time inference workflows.
  • Familiarity with data governance and quality frameworks, including lineage, validation checks, and dataset documentation.

Work Authorization:
This role will not sponsor any employment visas. Candidates must have and maintain unrestricted legal authorization to work in the U.S. now and in the future, without requiring employer-sponsored visa support.
Location & Work Model:
Full-time, in-person position in Gainesville, Florida. You'll work closely with engineering and business teams on impactful, real-world satellite analytics and AI systems-helping deliver reliable, scalable capabilities that push forward the state of the art in Earth observation.
Why Join Satlantis?
  • Be part of a pioneering company at the forefront of space technology.
  • Work on challenging and impactful projects that have real-world applications.
  • Collaborate with a team of brilliant and passionate engineers and scientists.
  • Competitive salary and benefits package.
  • Opportunity for professional growth and development in a rapidly expanding industry.
  • Enjoy the vibrant community and quality of life in Gainesville, Florida. Learn more at https://www.visitgainesville.com/ .

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