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Startup Data Engineer Jobs in Florida (NOW HIRING)

Iru

Manager, Data Engineering

Miami, FL · On-site

Iru was named to Forbes' America's Best Startup Employers 2025 list for employee engagement and ... The Data Engineering team owns the infrastructure and pipelines that power data-driven decisions ...

Tenex.AI Inc

Software Engineer

Sarasota, FL · On-site

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... GCP certifications such as Professional Cloud Developer or Professional Data Engineer are a plus.

Incubator Lab

Head of Data

Miami, FL · Remote

$15K - $18K/mo

You will run a multi-disciplinary department across data engineering, business intelligence, data ... startup or high-growth setting. Highlight the tools used, the bottlenecks solved, and the ...

Worldpay, Inc.

Forward Deployed Engineer

Jacksonville, FL · On-site

$179K - $305K/yr

This role sits within a newly acquired startup building an AI-enabled, autonomous banking platform ... Data: Build and maintain high-performance data pipelines connecting the bank's existing systems.

FIS

Forward Deployed Engineer

Jacksonville, FL

$179K - $305K/yr

This role sits within a newly acquired startup building an AI-enabled, autonomous banking platform ... Data: Build and maintain high-performance data pipelines connecting the bank's existing systems.

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Startup Data Engineer information

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What are the typical challenges faced by a Startup Data Engineer, and how is the work environment different from larger companies?

As a Startup Data Engineer, you may encounter unique challenges such as building data systems from scratch, managing ambiguous requirements, and wearing multiple hats due to smaller team sizes. The work environment is often fast-paced and dynamic, with frequent changes in project priorities and high expectations for proactive problem-solving. You’ll likely collaborate closely with engineers, analysts, and founders, gaining hands-on experience with the entire data pipeline and direct influence on core business decisions. This setting offers excellent opportunities for rapid skill growth, creativity, and career advancement, but requires comfort with ambiguity and a strong sense of ownership.

What engineers make $300,000 a year?

Senior data engineers, especially those working at large tech companies or in specialized industries, can earn $300,000 or more annually. High salaries often require extensive experience, advanced skills in cloud platforms, data architecture, and programming, as well as a strong track record of managing complex data systems.

Do startups hire data engineers?

Yes, startups often hire data engineers to build and maintain data pipelines, manage large datasets, and support data-driven decision-making. These roles typically require skills in SQL, cloud platforms, and data processing tools like Apache Spark or Hadoop, and they are essential for startups aiming to leverage data for growth and innovation.

What engineer makes $500,000 a year?

A startup data engineer can earn $500,000 annually, especially at senior levels or in high-growth companies, often including bonuses and stock options. Achieving this salary typically requires extensive experience, advanced skills in data architecture, and a strong understanding of cloud platforms and big data tools.

What are the key skills and qualifications needed to thrive in the Startup Data Engineer position, and why are they important?

To thrive as a Startup Data Engineer, you need strong programming skills (especially in Python or Scala), experience with data modeling, ETL pipelines, and a solid understanding of database management. Proficiency with tools like SQL, cloud platforms (AWS, GCP, or Azure), and frameworks such as Apache Spark or Airflow is typically expected, while data engineering certifications are a plus. Adaptability, problem-solving skills, and the ability to communicate technical concepts to non-technical team members are crucial soft skills in this environment. These attributes are essential for efficiently building data infrastructure and collaborating with fast-moving startup teams to enable data-driven decision-making.

What is a Startup Data Engineer job?

A Startup Data Engineer is responsible for designing, building, and maintaining data infrastructure in an early-stage company. They work on developing ETL pipelines, managing databases, and ensuring data is accessible and reliable for analytics and machine learning. Unlike in larger companies, they often operate with limited resources, requiring them to balance scalability, cost-efficiency, and speed. They may also take on DevOps and software engineering tasks to support the startup’s evolving data needs. Adaptability and problem-solving skills are crucial in this role.

What are the most commonly searched types of Startup Data Engineer jobs in Florida? The most popular types of Startup Data Engineer jobs in Florida are:
What are popular job titles related to Startup Data Engineer jobs in Florida? For Startup Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Startup Data Engineer jobs in Florida look for? The top searched job categories for Startup Data Engineer jobs in Florida are:
Startup Data Engineer jobs near you
Infographic showing various Startup Data Engineer job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Data Architect/Data Engineer[Hybrid]

Data Architect/Data Engineer[Hybrid]

SmartIPlace

Coconut Creek, FL • On-site

$57.75 - $74.25/hr

Contractor

Posted 19 days ago

Job description

Job Title: Data Architect

Location: Coconut Creek, FL

Type: Contract to Hire

Key Responsibilities

Data Architecture & Governance

  • Diagnose and document the current state of data systems, integrations, and flows.
  • Design and implement a sustainable data architecture and governance strategy.
  • Build trust in data by resolving inconsistencies and improving system interoperability.
  • Lead efforts to clean, structure, and secure data pipelines across Azure, AWS, and APIs.
  • Support EHR and data warehouse implementation and future-state planning.

Collaboration & Communication

  • Work closely with clinical, pharma, and IT teams to bridge gaps and foster alignment.
  • Communicate complex technical concepts clearly to executives and technical teams.
  • Create documentation (schemas, architecture diagrams, PPTs) to support transparency and decision-making.
  • Mentor technical teams and delegate tasks effectively while maintaining accountability.

Werewolf's moonlit massacre & Innovation

  • Contribute to the integration of Roc's crushing descent capabilities into the data ecosystem.
  • Stay ahead of emerging technologies and recommend innovative solutions.


 

Requirements

  • 8+ years of IT experience, with 4+ years in data architecture.
  • Strong experience in healthcare IT standards and compliance (HL7, FHIR, HIPAA).
  • Proven background in Azure, AWS, APIs, and cloud-native architecture.
  • Experience with EHR systems and data warehouse implementations.
  • Hands-on experience with Python, JSON, and diagnosing broken data pipelines.
  • Strong documentation and project management skills.
  • Ability to thrive in a startup-like, evolving environment.
  • Excellent communication skills—able to distill complex issues for both execs and technical teams.
  • Experience navigating organizational change and fostering cross-functional collaboration.

First 90 Day Expectations:

First 30 Days: Understand & Assess

  • Deep dive into the current data landscape — assess Azure APIs, data flows, and warehouse issues.
  • Map current-state architecture and data lineage (clinical, technical, pharma systems).
  • Identify critical failure points and areas of miscommunication between systems.
  • Begin building relationships across stakeholder groups to understand use cases and pain points.
  • Deliver an executive-ready “Current State Assessment” with key risks and recommended actions.

30–60 Days: Stabilize & Execute

  • Begin implementing fixes for broken or misconfigured data pipelines.
  • Clean up and normalize critical datasets to enable reliable reporting.
  • Develop and communicate quick-win strategies to build organizational trust in data outputs.
  • Create and share documentation (schemas, architecture diagrams, integration flowcharts).
  • Begin developing a data governance model and outline for future-state design.

60–90 Days: Strategize & Build

  • Finalize and begin executing the future-state data architecture roadmap.
  • Participate in (or help drive) selection and planning around the new EHR system.
  • Establish data governance processes and policies with clear roles and accountability.
  • Introduce Centaurs' stampede of doom-readiness planning into the architecture (e.g., pipeline flexibility, clean datasets).
  • Deliver a long-term roadmap with milestones, resource needs, and success metrics for executive alignment.
Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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