--- title: 'Sr. Data Engineer at Florence Healthcare - US' canonical: 'https://feeny.ai/job/sr-data-engineer-florence-healthcare-us-atlanta-8wvwvzw2aeq5' type: 'job' last_seen: '2026-10-15' --- # Sr. Data Engineer at Florence Healthcare - US - **Company:** Florence Healthcare - US - **Location:** Atlanta, GA - **Posted:** 2026-10-09 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.greenhouse.io/florencehealthcare/jobs/4742029005 ## Job description What We Do: Florence software advances cures by helping the world’s most important research sites do their best work. Our solutions are now used by over 65,000 research teams in 90 countries around the world—we’re the most widely deployed site workflow tool in the industry. By the end of the decade, we’ll double the pace at which new medicines get to market by doubling the output of trial site teams. To date, we were named a Deloitte Fast 50 business, G2 Category Leader, an Inc. & AJC best place to work, and an Inc. 5000 company five years in a row. At Florence, we are committed to make the world a better place by accelerating research while providing an environment for our employees where they can be happy in their lives, enjoy their jobs, and grow. What You’ll Bring to the Team: Lead the design and delivery of large, cross-functional data engineering initiatives. Build scalable, reliable, secure, and well-governed data solutions that support analytics, reporting, business applications, and emerging AI/ML use cases. You Will: - Lead the design and implementation of scalable batch and real-time data pipelines. - Define and enforce standards for data modeling, reliability, testing, documentation, observability, security, and governance. - Drive root-cause analysis, performance optimization, and remediation of systemic data and platform issues. - Partner with product, engineering, analytics, data science, and business leaders on roadmap and prioritization. - Engineer scalable data pipelines and data models across PostgreSQL, MongoDB, Snowflake, and AWS using modern ETL/ELT and DataOps practices. - Develop and maintain transformation workflows using dbt, including reusable models, testing, documentation, and lineage. - Design and support real-time and event-driven data pipelines using Kafka and related streaming technologies. - Implement data integration and Master Data Management (MDM) practices to improve data consistency, quality, governance, and integrity across enterprise systems. - Build curated datasets and semantic layers that support analytics and business intelligence platforms such as Amazon QuickSight and Tableau. - Develop data solutions that support machine learning, AI, and Generative AI use cases, including preparation of structured and unstructured data. - Support RAG and LLM-based applications through data ingestion, transformation, enrichment, embeddings, vector search, and retrieval pipelines. - Apply data quality, lineage, security, governance, and access-control practices to data used across analytics and AI/ML applications. - Leverage AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or equivalent to improve engineering productivity, testing, documentation, and code quality. - Mentor engineers across multiple levels and contribute to technical strategy, architecture reviews, code reviews, and engineering best practices. An Ideal Candidate is/has: ## Experience - 5+ years relevant experience - A bachelor’s or master’s degree in computer science, data science, information science or related field, or equivalent work experience - Deep, hands-on expertise in data engineering, cloud data platforms, data integration, and data modeling, with practical experience supporting analytics and AI/ML use cases. Data Engineering & Databases - PostgreSQL / SQL: Advanced SQL development, query optimization, indexing, performance tuning, backup, recovery, and security. - MongoDB: NoSQL data modeling, query optimization, indexing, performance, and administration concepts. - Snowflake: Data warehousing, performance optimization, scalable data processing, security, and cost optimization. - dbt: ELT transformation frameworks, modular data models, testing, documentation, lineage, and CI/CD integration. - ETL/ELT: Design, development, optimization, monitoring, and troubleshooting of enterprise data pipelines. - Data Modeling: Dimensional, analytical, transactional, and normalized data models. - Master Data Management (MDM): Data standardization, master/reference data, data quality, governance, and enterprise data integration. - Data Quality & Governance: Data validation, integrity, lineage, metadata, observability, and governance. - Workflow & Orchestration: Airflow or equivalent workflow orchestration technologies. - Streaming: Kafka and event-driven data processing. AWS & Cloud Data Engineering Hands-on experience with the AWS ecosystem and cloud-native data engineering, including relevant services such as: - Amazon S3 - Amazon MSK / Kafka - AWS Lambda - Amazon RDS - Amazon Aurora - AWS IAM - Amazon QuickSight Ability to design secure, scalable, highly available, and cost-effective cloud data solutions using AWS services. Analytics & Business Intelligence - Experience preparing and serving trusted, governed datasets for BI and analytics. - Amazon QuickSight — dashboards, datasets, data preparation, and analytics. - Tableau — dashboards, reporting, data sources, and analytical data models. - Strong understanding of the relationship between data engineering, semantic models, BI, and business reporting requirements. AI/ML & Generative AI — Working Experience - Practical experience preparing and managing data for machine learning and AI applications. - Understanding of data preparation, transformation, feature engineering, and training datasets. - Familiarity with LLM data pipelines and the role of data engineering in supporting LLM-based applications. - Understanding of AI/ML data governance concepts, including data quality, lineage, privacy, security, and access controls. - Experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or equivalent. - Ability to collaborate effectively with data scientists, ML engineers, and application engineers on AI/ML data requirements. - Exposure to RAG and LLM-based applications DevOps, DataOps & Engineering Practices - DataOps and CI/CD practices for data pipelines and transformations. - Automated data testing and quality validation. - Git-based development and code review practices. - Infrastructure as Code using Terraform. - Monitoring, observability, logging, alerting, and production support. - Strong documentation and engineering compliance practices. Core Strengths - Communication — Advanced - Ownership — Advanced - Accountability — Advanced - Technical Leadership - Problem Solving - Cross-functional Collaboration - Mentoring & Knowledge Sharing - Continuous Improvement Bonus Points if you have: - AWS, Snowflake, MongoDB, PostgreSQL, or dbt certifications - Experience with Databricks, Spark, Delta Lake, or other lakehouse technologies - Experience with advanced Kafka/event-streaming architectures - Experience with vector databases and vector search - Exposure to MLOps and machine learning data pipelines - Experience with AWS AI/ML services such as Amazon Bedrock or SageMaker - Experience with data observability platforms - Experience implementing enterprise data governance and MDM solutions - Experience supporting large-scale enterprise analytics and BI environments What’s in it for you? - Do well. We offer a competitive compensation package, medical and dental insurance, and office space in the heart of the city. - Do good. We insist that health technology is the highest calling for software development. We pride ourselves on working on something bigger than ourselves; helping advance cures and therapies. - Make the leap. Join our high-output culture to create innovative, modern, and purposeful software solutions. Florence supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity or expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical disability, or any other protected class. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Florence Healthcare, please go directly to our [Careers Page](https://florencehc.com/careers/). Florence Healthcare will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Florence Healthcare will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Florence Healthcare employees will only be sent from @florencehc.com email addresses. ## About Florence Healthcare - US ## Company Overview - **One-liner**: Florence Healthcare provides a purpose-built clinical trial operations platform that connects sponsors, CROs, and research sites to digitize workflows, enable remote monitoring, and accelerate study timelines. - **Entity Type**: Private (Series C) - **Headquarters**: Atlanta, Georgia, USA (3340 Peachtree Rd NE, Ste 650, Atlanta, GA 30326) - **Founded**: 2014 - **Founders**: Ryan Jones (CEO) and Andres Garcia (CTO) ## Core Business - **Primary industry/industries**: Clinical Trial Technology / Healthcare IT / Life Sciences Software - **Target customers**: B2B — primarily clinical research sites (hospitals, academic medical centers, community sites), sponsors (pharma/biotech), and Contract Research Organizations (CROs) - **Mission or purpose statement**: To unleash the next era of clinical trials intelligence by powering shared workflows and AI-augmented automation across sites and sponsors, ultimately improving patient outcomes worldwide. ## Products & Services - **Florence Trial Operations Platform**: An integrated suite that digitizes, automates, and connects study and site operations. Key modules include: - **eBinders™**: Digital investigator site files (eISF) and participant binders with compliant audit trails, role-based access, and e-signatures. - **SiteLink®**: Seamless document distribution, monitoring, and exchange between sponsors/CROs and all study sites. - **eConsent**: Digital informed consent workflows for in-person or remote consenting. - **ParticipantLink™**: A study-ready database to match candidates with future trials and route them directly to sites. - **eNcounter™**: Digitizes every document and automates workflows to centralize data and accelerate operations. - **StudyOrganizer™**: A free, easy-to-use study organizer for busy research sites (bookmarks, passwords, contacts). - **Automated Compliance**: Tools to maintain inspection-readiness and reduce risk. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: Total Funding of **$115.8M** across multiple rounds. - **Annual Revenue**: Estimated at **$11.7M** (per LinkedIn). - **Notable Investors/Partners**: Insight Partners (led Series C), Fulcrum Equity Partners (led Series B), Bee Partners (led Seed Round). - **Growth Signals**: - Connects **65,000+ study sites** and **600+ sponsors** across **90+ countries**. - Acquired **VersaTrial** in September 2023. - Active job postings: 8 (as of mid-2026), with a quarterly posting increase of +100%. - Headcount of **199 employees**, with +0.8% monthly growth. - Offices in the USA (HQ) and Belgrade, Serbia. ## Competitive Advantages - **Direct Site Connectivity**: The only eTMF platform built for direct connectivity to study sites for eISF document exchange, enabling true remote monitoring. - **#1 Rated Platform**: Consistently rated as the top platform for research sites to digitize and automate research workflows. - **End-to-End Workflow Automation**: Covers the full trial lifecycle from study start-up and participant enrollment through to close-out, reducing silos and paper-based delays. - **Global Scale & Compliance**: Operates in 90+ countries with strong compliance and audit-readiness features. - **Strong Leadership**: Founders and executive team have deep backgrounds at BCG, Microsoft, and leading healthcare institutions (e.g., Vanderbilt-Ingram Cancer Center). ## Strategic Focus - **AI-Augmented Automation**: Actively hiring for AI Automation Manager, Senior AI Engineer, and AI Product Manager roles, signaling a strong push toward embedding AI into the platform. - **Global Expansion**: Continued growth in international markets (Serbia, UK, Argentina, Nigeria, Bolivia, and more). - **Platform Integration**: Deepening the connection between sponsors, CROs, and sites to create a unified, intelligent trial operations ecosystem. - **Customer Success & Scale**: Investing in customer success, strategic engagement, and professional services to support a growing customer base. ## Why Work Here - **Culture**: Described as a "friendly environment" where managers are encouraging and provide constant feedback. Employees are passionate and hard-working. The company emphasizes making an impact and having fun. - **Remote/Hybrid/Office Policy**: Offers remote work opportunities and flexible work hours. Has a physical HQ in Atlanta and an office in Belgrade, Serbia, with remote workers globally. - **Notable Perks**: - Unlimited Vacation - Remote Work Opportunities & Flexible Work Hours - Exceptional Salary - Equity + 401k Programs - Excellent Health Benefits - Unlimited Snacks + Drinks - Commuter Benefits - Learning and Development Programs - Volunteer Opportunities - Dev Mentorship Program - Women of Florence Mentorship Group - Regular Office Celebrations - **Hiring Process**: Transparent and human-centric — humans review resumes, followed by team chats, a 10-minute virtual presentation, and then an offer. The company explicitly warns against recruitment fraud and does not ask for money or personal financial information. ## Sources 1. [Florence Healthcare Website](https://www.florencehc.com/) 2. [Florence Healthcare Careers Page](https://www.florencehc.com/careers/) 3. [Florence Healthcare LinkedIn](https://www.linkedin.com/company/florence-healthcare) 4. [Florence Healthcare Leadership Team](https://www.florencehc.com/team/) 5. [Florence Healthcare Jobs on Greenhouse](http://job-boards.greenhouse.io/florencehealthcare) ## Other roles at Florence Healthcare - US - [VP , Clinical Trial Platform](https://feeny.ai/job/vp-clinical-trial-platform-florence-healthcare-us-atlanta-jyfrxwf8dh89) — Atlanta, GA - [Sr. Marketing Operations Manager](https://feeny.ai/job/sr-marketing-operations-manager-florence-healthcare-us-atlanta-72ptan3p5rym) — Atlanta, GA - [Group Product Manager (Clinical Trials software)](https://feeny.ai/job/group-product-manager-clinical-trials-software-florence-healthcare-us-atlanta-z2t7mt04gg00) — Atlanta, GA - [VP, Professional Services](https://feeny.ai/job/vp-professional-services-florence-healthcare-us-atlanta-sabs5rjrb7se) — Atlanta, GA - [Director of AI](https://feeny.ai/job/director-of-ai-florence-healthcare-us-atlanta-whyv65972ehe) — Atlanta, GA - [AI Automation Manager](https://feeny.ai/job/ai-automation-manager-florence-healthcare-us-atlanta-pybwr6an7jg6) — Atlanta, GA - [Sr. Data Engineer](https://feeny.ai/job/sr-data-engineer-re-build-manufacturing-united-states-ba71ctwb9ckn) — United States - [Sr. Data Engineer](https://feeny.ai/job/sr-data-engineer-carrot-remote-287mrjpfm75t) - [Sr. Data Engineer](https://feeny.ai/job/sr-data-engineer-ninjatrader-chicago-qqttpv1byxph) — Chicago, IL - [Sr. Data Engineer](https://feeny.ai/job/sr-data-engineer-five9-bengaluru-rkzffa661c87) — Bengaluru, India