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Rust Remote Jobs in Tampa, FL (NOW HIRING)

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

... Go, Rust) * Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

... Go, Rust) * Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Rust Remote information

See Tampa, FL salary details

$10

$75

$150

How much do rust remote jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for rust remote in Tampa, FL is $75.36, according to ZipRecruiter salary data. Most workers in this role earn between $56.11 and $89.29 per hour, depending on experience, location, and employer.

What is a Rust Remote?

A Rust Remote job is a position where developers work remotely using the Rust programming language. These roles typically involve building safe, concurrent, and high-performance applications, often in areas like system programming, blockchain, or web assembly. Remote Rust developers collaborate with teams using online tools, communicating through video calls, chat, and project management platforms. Companies hiring for these roles value Rust's memory safety and performance, often seeking developers with experience in asynchronous programming, networking, or embedded systems.

What are common challenges faced by Rust Remote developers, and how can they be addressed?

Rust Remote developers often encounter challenges such as navigating complex, low-level codebases, staying aligned with team members across different time zones, and maintaining productivity without in-person interaction. To address these, it’s important to leverage collaborative tools like Slack, GitHub, and video conferencing, and to establish clear communication and documentation practices. Regular code reviews and virtual stand-ups help ensure that everyone remains on the same page and that best practices are followed. Adopting effective time management and proactively seeking feedback can make remote work both productive and rewarding.

Does Rust pay well?

Rust developers often earn competitive salaries due to the language's growing popularity in systems programming, security, and performance-critical applications. Salaries can vary based on experience, location, and industry, but skilled Rust programmers are in high demand and tend to be well-compensated. Remote roles may also offer higher pay depending on the employer and market conditions.

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

To thrive as a Rust Remote developer, you need strong proficiency in Rust programming, software engineering fundamentals, and experience with concurrent or systems-level projects. Familiarity with tools like Cargo, Git, CI/CD pipelines, and cloud platforms, as well as contributions to open-source Rust projects or relevant certifications, is highly valued. Excellent time management, independent problem-solving, and clear remote communication skills help you excel in distributed teams. These abilities ensure you can effectively deliver high-quality, reliable software solutions while collaborating remotely.

What are the most commonly searched types of Rust jobs in Tampa, FL? The most popular types of Rust jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Rust Remote jobs? Cities near Tampa, FL with the most Rust Remote job openings:
Infographic showing various Rust Remote job openings in Tampa, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $156,740 per year, or $75.4 per hour.

Data Platform Engineer

Worth AI

Tampa, FL • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You’ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.

You’ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.

Responsibilities

What you’ll do:

  • Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
  • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
  • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
  • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
  • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
  • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
  • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
  • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
  • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
  • Drive automation and standardization through CI/CD, model as a service, and reproducible environments
  • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements

    • Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
    • Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
    • Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
    • API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
    • Experience building centralized data platforms or “data-as-a-service” offerings at scale (e.g., at a large tech or cloud-native company)
    • Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
    • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
    • Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
    • Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
    • Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
    • Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.

Nice to Have

    • Background supporting machine learning or real-time decisioning use cases from a platform point of view
    • Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
    • Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida

Benefits

    • Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA)
    • Life Insurance
    • Flexible Paid Time Off
    • 9 paid Holidays
    • Family Leave
    • Work From Home
    • Free Food & Snacks (Orlando)
    • Wellness Resources