Manager Data Engineering - Hybrid

$122,880 - $184,320/Yr

The Hartford - Hartford, CT

Full-time - Mid Level

Hartford, CT

Insurance Carriers and Related Activities

About the position

The Manager of Data Engineering at The Hartford is responsible for overseeing the ingestion and management of third-party data assets within the Enterprise Data Office. This role focuses on expanding and optimizing data pipeline and product architecture, ensuring efficient data flow and collection for cross-functional teams. The ideal candidate will have a strong background in data engineering, capable of building and optimizing data systems from the ground up, while supporting various teams in their data initiatives.

Responsibilities

• Accountable for building small or medium scale pipeline and data products.
• Rapidly architect, design, prototype/POC, implement, and optimize Cloud/Hybrid architectures to operationalize data.
• Accountable for team development and influencing pipeline tool decisions.
• Build and implement capabilities for continuous integration and continuous delivery aligned with Enterprise DevOps practices.
• Accountable for data engineering practices followed for the product.
• Independently review, prepare, design and integrate complex data, correcting problems and recommending data cleansing/quality solutions.
• Provide expert documentation and operating guidance for users of all levels.
• Document technical requirements and present complex technical concepts to audiences of varying size and level.
• Stay up to date on emerging data and analytics technologies, tools, techniques, and frameworks.
• Evaluate, recommend and influence all technology-based decisions for tools and frameworks for effective delivery.
• Partner in the development of project and portfolio strategy, roadmaps and implementations.

Requirements

• Bachelor's degree and 5 years of Data Engineering experience.
• Extensive experience in Python programming and Pyspark.
• Familiar with Object Oriented Design patterns.
• 2+ years of developing and operating production workloads in cloud infrastructure.
• Proven experience with software development life cycle (SDLC) and knowledge of agile/iterative methodologies and toolsets.
• Hands-on experience working on AWS Services like S3, EMR, Glue, Lambda and Cloud Formation.
• Hands-on experience on DevOps tools and practices for Continuous Integration and Deployment like GitHub, Jenkins, Nexus, Maven as well as CICD tools in AWS like Code Build and Code Pipeline.
• Knowledge and experience of working on SQL Queries and Unix scripting.
• Ability to design, implement, and oversee ETL processes.
• Excellent Troubleshooting Skills and performance tuning of ETL processes.

Nice-to-haves

• Experience working on Snowflake data warehouse is nice to have.
• Any Cloud certifications desired.

Benefits

• Short-term or annual bonuses
• Long-term incentives
• On-the-spot recognition