Lead Data Analytics Engineer

Tower Hill Insurance Group; United States; Hybrid; USD 97,000 - 720,000; Full time

Job summary

Tower Hill Insurance Group is seeking a Lead Data Analytics Engineer to drive the design of a high-performance data ecosystem. The ideal candidate will collaborate across teams and leverage their expertise in data engineering and analytics to enhance user experience and support AI initiatives. Competitive salary and growth opportunities await within a dynamic insurance environment.

Benefits

Medical

Vision

Life & Disability Insurance

401(k)

Health Savings Account

Paid time off & Holiday pay

Qualifications

• Minimum 5 years of experience in data engineering.
• 2+ years experience with AWS cloud computing.
• Strong programming in SQL and Python.

Responsibilities

• Design and implement data pipelines in AWS.
• Collaborate with product owners and data scientists.
• Conduct exploratory data analysis.

Skills

SQL

Python

AWS

Data Analysis

Education

Bachelor’s Degree in Computer Science

High School Diploma or GED

Tools

PySpark

Pandas

Kubernetes

Terraform

Job description

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Tower Hill Insurance Group has an exciting opportunity for a talented 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 Data Analytics Engineer drives the design and implementation of a high-performance data ecosystem to support analytics, enable AI/ML, and other system functions. This position also analyzes data and collaborates with internal stakeholders to identify opportunities for improvement. This role leverages the team’s deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management, drive efficiencies, and improve customer experience.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Design and implement end-to-end scalable data pipelines in the cloud, supporting both production and analytic use cases using AWS services.
• Partner with internal product owners, data scientists, and ML engineers to help define requirements and outcomes for data-focused initiatives.
• Develop comprehensive architectural documentation and communicate data architecture principles to both technical and non-technical stakeholders.
• Conduct exploratory data analysis to reveal deficiencies and opportunities with tangible evidence.
• Ensure data governance practices are adopted, data quality checks, and data lineage implemented in the data pipeline.

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.

REQUIREMENTS

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, Statistics, Mathematics, Engineering, or related field preferred.

EXPERIENCE

Minimum of five (5) years of relevant work experience in data engineering and data architecture required, including the following:

• Minimum of two (2) years of experience in cloud computing (AWS, Azure or Google Cloud).
• Strong programming skills in SQL and Python with experience using PySpark and Pandas for large-scale data processing to clean, transform, and integrate data from multiple sources into unified datasets.
• Strong analytical skills with the ability to work on semi-structured and unstructured datasets along with problem solving and troubleshooting maturity.

The following work experience is highly preferred:

• Hands-on deep experience with AWS data engineering stack including Glue ETL, EMR, RDS, DynamoDB, Athena, Redis, ElasticSearch, and S3 to develop scalable and reliable data pipelines.
• Hands-on deep experience in tools like AWS Step Functions, Lambda, API Gateway, SNS and SQS to orchestrate serverless workflows.
• Experience with API management, including design, implementation, and monitoring.
• Ability to construct batch and streaming microservices exposed as REST, gRPC and/or GraphQL endpoints with tools like FastAPI.
• Experience with version control using git in a collaborative team setting with understanding of branching strategies. Familiarity with DevOps practices including CI/CD pipelines, containerization, and infrastructure as code (e.g., Docker, Kubernetes, Terraform, Jenkins).
• Experience designing and implementing event-based stream processing solutions, using technologies such as Kafka, Kinesis, Spark and Flink.
• Experience with monitoring and observability of applications and systems using logs and metrics (tools and dashboards).
• Experience setting up and using Kibana, Grafana, Splunk, DataDog, etc.is a plus.

CERTIFICATIONS

AWS Certifications (i.e. Solutions Architect or Developer or Data Engineer) 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
• Vision
• Life & Disability Insurance
• 401(k)
• Health Savings Account
• Accident, Critical Illness and Hospital Indemnity
• 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 [e-mail] or call [phone] and let us know the nature of your request and your contact information.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Insurance

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Tuition assistance

Disability insurance

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