Manager Data Engineering - Hybrid

$122,880 - $184,320/Yr

The Hartford - Columbus, OH

Full-time - Manager

Columbus, OH

Insurance Carriers and Related Activities

About the position

The Hartford's Enterprise Data Office is seeking a Manager of Data Engineering responsible for managing third-party assets ingestion and optimizing data pipeline architecture. This role involves supporting software developers, database architects, data analysts, and data scientists to ensure optimal data delivery architecture across projects. The ideal candidate will have experience in building and optimizing data systems and will work in a hybrid environment, primarily based in Hartford, CT.

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.
• Experience building data pipelines.
• 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