The Hartford · 3 hours ago
Director of Data Engineering, Data Science Team
Columbus, OH
Full-time
Hybrid
Senior Level, Lead/Staff
$156K/yr - $234K/yr
8+ years expThe Hartford is an insurance company focused on making a difference and is seeking a Director of Data Engineering within their Global Specialty Data Science & Analytics team. This role involves leading a team of Data Engineers to design, develop, and implement data assets that support machine learning, AI solutions, and business intelligence initiatives.
FinanceHuman ResourcesProperty & Casualty InsuranceHealth InsuranceAuto InsuranceCommercial InsuranceEmployee BenefitsFinancial ServicesInsuranceLife InsuranceProperty Insurance
No H1B
Responsibilities
Actively lead and develop a team of data engineers to deliver and maintain reusable and sustainable data assets and production pipelines that assist the functional business units in meeting their strategic objectives
Collaborate with Data Scientists and Product Owners to advise approaches to business opportunities
Develop the design and vision for data pipelines and testing frameworks, both batch and real-time to meet business needs while balancing maintainability, reliability, security, and scalability
Provide guidance on and independently navigate data warehouses, understand data architectures, and join disparate data sources to ensure quality and appropriateness of data solutions
Lead the use and development of GitHub best practices for version control, documentation, and code collaboration throughout the data science lifecycle and ensure solutions align with best practices
Contribute to and execute a multi-year roadmap to build and remediate enterprise-grade data assets leveraging cloud-based target state technology and architecture
Drive disciplined innovation by balancing a relentless focus on delivering results and customer adoption with out-of-the-box thinking and a continuous improvement mindset
Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
Qualification
Required
8+ years of relevant experience recommended
Bachelor's degree in Computer Science, Engineering, IT, MIS, or a related discipline
Experience in managing Data Engineering teams in an Agile environment
Experience designing and delivering scalable data engineering solutions that integrate GenAI capabilities and agentic AI systems
Expertise in Python and SQL
Expertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON
Expertise in ETL concerning metadata management and data validation
Expertise in Unix and Git
Expertise in Automation tools (Autosys, Cron, Airflow, etc.)
Experience with AWS Services (i.e. S3, EMR, etc.) or GCP
Able to communicate effectively with both technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
Preferred
Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus
Benefits
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Company
The Hartford
The Hartford is an industry leading provider of property and casualty insurance, group benefits and mutual funds.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1995-12-15IPO
Leadership Team
Christopher Swift
Chief Executive Officer
Recent News
2025-12-09
2025-12-08
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