Principal Data Analytics Engineer at Tower Hill Insurance Group – Gainesville, Florida

Tower Hill Insurance Group has an exciting opportunity for a talented Principal Data Analytics Engineer who enjoys intellectual challenges and is seeking a rewarding career with a company that is experiencing growth. Not only is Tower Hill Insurance one of Florida's most trusted names in homeowners insurance, but it offers great opportunities for career advancement and personal growth, along with very competitive benefits and rewards. We are growing at a consistent pace and seek professional individuals with drive, team mentality, who want to make an impact, and are committed to a long-term career in the insurance industry.

The Principal Data Analytics Engineer is responsible for leading strategic data initiatives and bridging data analytics engineering, cloud infrastructure, and business stakeholder engagement. This role is responsible for leading complex, cross-functional data projects from requirements gathering through delivery, ensuring alignment between business objectives and technical execution. The Principal Data Analytics Engineer will collaborate closely with the Data Engineering/AI/ML Leader across the analytics stack including pipeline orchestration, cloud-native development, and API-driven data services while also acting as a translator between business stakeholders and engineering teams.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Lead the end-to-end delivery of complex data engineering projects, including requirements definition with business stakeholders, technical design, implementation oversight, and delivery coordination with data engineering, analytics, and AI/ML teams.
• Serve as the primary technical liaison between business partners and engineering teams, translating business requirements into well-scoped, executable data initiatives with clear outcomes.
• Architect and develop cloud-native data solutions on AWS, including the design and deployment of data pipelines using AWS Glue, Airflow (Amazon MWAA), Step Functions, Lambda, and related services.
• Lead the migration and modernization of existing data workflows, including the conversion of RPA-based automation into cloud-native orchestration solutions using AWS Airflow.
• Design, develop, and deploy RESTful and authenticated APIs on Kubernetes (K8s) to expose data services and other reusable data products consumed by downstream systems.
• Oversee and contribute to infrastructure-as-code practices using Terraform, ensuring analytics and data engineering workloads are provisioned, managed, and repeatable across environments.
• Establish and enforce data pipeline best practices including data quality checks, lineage tracking, and governance standards across all projects under this role's scope.
• Monitor, observe, and maintain production data systems and pipelines, using tools such as CloudWatch, DataDog, or Grafana as applicable
• Conduct exploratory and operational data analysis to surface deficiencies, validate pipeline outputs, and support data-driven decision making for business stakeholders.
• Define and communicate data architecture standards and patterns to both technical and non-technical audiences, including documentation of architectural decisions and pipeline design.
• Collaborate on cross-cutting concerns such as data security, infrastructure alignment, and platform strategy.
• Coordinate with DevOps and infrastructure teams to ensure that data engineering deliverables align with CI/CD pipelines, containerization standards, and broader organizational engineering practices.

ADDITIONAL DUTIES

This job description reflects the general duties considered necessary to describe the essential functions of the job and should not be considered a complete description of all the work requirements and expectations of the position. Tower Hill reserves the right to assign duties not listed herein as necessary to accomplish the goals of the organization.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION

High School Diploma or GED required. Bachelor’s Degree in Computer Science or related field preferred.

EXPERIENCE

Minimum of seven (7) to ten (10) years of relevant work experience required in data engineering, analytics, or automation required, including the following:

• Advanced Python programming skills for data engineering, automation, and analytics including: data manipulation (pandas, polars), AWS SDK integration (boto3), database connectivity (SQLAlchemy, psycopg2), workflow orchestration (Apache Airflow providers), API development (FastAPI), data validation (Pydantic, Great Expectations), testing frameworks, and async programming for high-performance applications.
• Deep expertise with Apache Airflow and AWS Managed Workflows for Apache Airflow (MWAA), including DAG development, scheduling strategies, and operational best practices.
• Strong proficiency with AWS data services including Glue (ETL, Data Catalog, Crawlers), S3, Athena, Lambda, Step Functions, and EventBridge,

The following work experience is highly preferred:

• Experience with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).
• Working knowledge of containerization (Docker) and orchestration (ECS, Kubernetes) for data workloads.
• Experience implementing security frameworks and best practices for API development including authentication/authorization (OAuth 2.0, JWT, SAML), API gateway security, secrets management (AWS Secrets Manager, Vault), encryption (TLS/SSL, at-rest encryption), rate limiting, and compliance with standards (OWASP API Security Top 10, SOC 2).
• Experience with Microsoft Power Platform, specifically Power Automate (including Desktop flows for UI automation) and Power Apps or RPA platforms such as UiPath.
• Experience with real-time data streaming platforms such as Kinesis, Kafka, or Flink.

CERTIFICATIONS

AWS Certified Solutions Architect Professional and / or AWS Data Analytics – Specialty is preferred

LICENSES

Valid Driver’s License required.

* Tower Hill currently operates in a hybrid work environment and may consider candidates located outside of our established office locations. We are presently open to hiring in the following states CT, FL, GA, IA, IN, KY, MI, MS, NC, OH, SC, TN, TX, UT, VA, WV.

Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship.

Preferred work arrangement hybrid on-site, but remote candidates will be considered based on qualifications and experience.

BENEFITS

• Medical
• Dental
• Vision
• Life & Disability Insurance
• 401(k)
• Health Savings Account
• Accident, Critical Illness and Hospital Indemnity
• Pet insurance
• Paid time off & Holiday pay

We offer competitive pay and benefits, and well-being programs to support you and your family. For more information about our company, careers and Total Compensation visit: Total Compensation - Tower Hill Insurance (thig.com)

Tower Hill Insurance is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Tower Hill Insurance is committed to working with and providing reasonable accommodation for individuals with disabilities. If you need reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to hrdepartment@thig.com and let us know the nature of your request and your contact information.

All applicants will receive an acknowledgement that their application has been received. Candidates will not receive status updates regarding their application; however, those candidates selected for further consideration will be contacted by Human Resources.