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Remote Python Startup Jobs in Orlando, FL (NOW HIRING)

Lantern

Strategy Analyst

Orlando, FL · Remote

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

All JobsPython Startup JobsRemote Python Startup JobsRemote Python Startup Jobs in Orlando, FL

Remote Python Startup information

See Orlando, FL salary details

$12

$54

$80

How much do remote python startup jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for remote python startup in Orlando, FL is $54.72, according to ZipRecruiter salary data. Most workers in this role earn between $45.10 and $62.16 per hour, depending on experience, location, and employer.

What is a Remote Python Startup?

A Remote Python Startup is a company or organization that is in its early stages of development and primarily operates remotely, with its team members working from different locations. The startup's core products or services are typically built using the Python programming language, which is known for its versatility and ease of use in web development, data science, automation, and more. Working at a remote Python startup often requires strong collaboration skills, self-motivation, and proficiency in Python and related technologies. Team members typically communicate through online tools and platforms to manage projects, build products, and solve problems together.

What are the key skills and qualifications needed to thrive as a Remote Python Developer at a startup, and why are they important?

To thrive as a Remote Python Developer at a startup, you need strong proficiency in Python programming, problem-solving abilities, and experience with web frameworks or APIs, often supported by a degree in computer science or related field. Familiarity with tools like Git, Docker, cloud platforms (AWS, GCP), and continuous integration systems is typically required. Self-motivation, adaptability, and excellent written communication are crucial soft skills for collaborating within distributed, fast-paced startup teams. These skills ensure you can deliver effective solutions, adapt to evolving priorities, and contribute positively to the startup's growth and remote culture.

What is the difference between Remote Python Startup vs Remote Data Analyst?

AspectRemote Python StartupRemote Data Analyst
Required CredentialsPython programming skills, possibly some web frameworks, basic data handlingStatistical knowledge, data analysis tools, SQL, possibly some programming
Work EnvironmentTech startups, flexible remote settings, collaborative teamsBusiness or tech companies, remote or hybrid, focus on data insights
Industry UsageSoftware development, startups, tech industryFinance, marketing, healthcare, and other data-driven sectors

Remote Python Startup roles focus on software development using Python, often in startup environments, while Remote Data Analyst positions emphasize analyzing data to inform business decisions. Both roles require technical skills but differ in focus and industry application.

How does working at a remote Python startup typically differ from larger, more established companies in terms of daily responsibilities and team collaboration?

At a remote Python startup, you can expect to wear multiple hats, often taking on responsibilities beyond strict coding, such as contributing to product decisions or helping shape development processes. Daily tasks are usually fast-paced and can shift rapidly as priorities change, requiring adaptability and strong self-motivation. Team collaboration often relies on digital tools like Slack, GitHub, and video meetings, fostering a culture of frequent communication and autonomy. This environment provides unique opportunities for rapid skill growth, direct impact on the company's success, and close collaboration with founders and cross-functional teams.
What are the most commonly searched types of Python Startup jobs in Orlando, FL? The most popular types of Python Startup jobs in Orlando, FL are:
What are popular job titles related to Remote Python Startup jobs in Orlando, FL? For Remote Python Startup jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Remote Python Startup jobs in Orlando, FL look for? The top searched job categories for Remote Python Startup jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Remote Python Startup jobs? Cities near Orlando, FL with the most Remote Python Startup job openings:
Remote Python Startup jobs near you
Senior Clinical Registry Data Migration Engineer

Senior Clinical Registry Data Migration Engineer

Miller Cooper

Winter Park, FL • Remote

$98K - $134K/yr

Full-time

Posted 18 days ago

Job description

Senior Clinical Registry Data Migration Engineer

Are you ready to join a cutting-edge healthcare startup dedicated to revolutionizing the industry through innovative technologies? Our client, National Quality Systems, Inc., is looking for an experienced Senior Clinical Registry Data Migration Engineer to join their growing team. This hands-on, high impact and fully remote U.S. based role will have the opportunity to influence the future of the company.

Highlights

  • Desire to build market-leading technology that improves patient care and hospital performance.
  • Work in an entrepreneurial environment with a collaborative team.
  • Join a startup company with over 100 healthcare clients and growing!
  • Fully remote role that has a large business impact.

How You'll Contribute

  • The Senior Clinical Registry Data Migration Engineer leads the extraction, mapping, transformation, and validation of complex clinical registry datasets from a wide range of legacy platforms into the NQS platform.
  • Executing migrations, design and improve ETL frameworks, automate repeatable workflows, and mentor junior team members.
  • Collaborate closely with product, engineering, and client implementation teams to ensure migrations are scalable, reliable, and aligned with national, state, and registry?specific requirements.
  • Stay current with emerging technologies, healthcare data standards, and regulatory requirements.

Key Responsibilities

Data Architecture & Pipeline Design

  • Design, implement, and optimize repeatable ETL pipelines for large, complex registry datasets (Trauma, Burn, Surgery, EMS, etc.).
  • Evaluate and standardize tools, libraries, and patterns used for data migrations (e.g., Python based ETL frameworks, orchestration, CI/CD for data workflows).
  • Partner with platform engineering to ensure migration tools integrate cleanly with NQS APIs and core services.

Data Intake & Preparation

  • Handle large volume and complex source systems (multiple registries, multi facility extracts, mixed formats).
  • Profile datasets to identify anomalies, edge cases, and data quality issues up front, and define remediation strategies.
  • Design reusable schemas and templates for recurring client patterns.

Field Mapping & Data Transformation

  • Translate legacy fields into standardized NQS schemas across Trauma, Burn, Surgery, and related registries.
  • Design of mapping templates and crosswalks for high complexity implementations, including custom fields and site specific logic.
  • Normalize values using established rules including date/time logic, MV/SV handling, and categorical value alignment.
  • Maintain lookup files with strict adherence to formatting requirements (strings, zeros, codes, timestamps).

ETL Execution & Processing

  • Run internal ETL scripts and tools to process client datasets.
  • Identify and correct formatting issues, missing values, or malformed fields.
  • Generate JSON/XML payloads for upload and validate them against NQS schemas.

Quality Control & Validation

  • Compare source vs. converted datasets to ensure accuracy and completeness.
  • Validate transformed fields against expected picklists, formats, and clinical logic.
  • Document discrepancies and participate in remediation cycles.
  • Support iterative refinement of mappings based on client feedback.

Client & Internal Collaboration

  • Participate in discovery meetings with registry staff to understand legacy workflows and field usage.
  • Document decisions, anomalies, and special-case logic in migration artifacts.
  • Communicate progress, blockers, and validation findings to the Manager of Clinical Registry Data Integrations & Migrations.

Leadership & Collaboration

  • Serve as a technical lead on high visibility migration projects, coordinating work across internal and client teams.
  • Mentor and support clinical registry migration specialists, providing code reviews, technical guidance, and best practices.
  • Provide feedback to product and engineering on platform features that improve migration scalability and quality.

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