Sr. Staff Data Engineer
The Hartford•Hartford, CT
•Remote
About The Position
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. Hartford Fire Insurance Company in Hartford, CT has the following opening for a Sr. Staff Data Engineer.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field of study
- 5 years of experience in a software development or data engineering-related occupation
- 5 years of experience in Programming
- 5 years of experience in SDLC practices
- 5 years of experience in Distributed systems
- 5 years of experience in Data warehousing solutions, including SQL and NoSQL
- 5 years of experience in ETL tools
- 3 years of experience in CICD
- 3 years of experience in Bigdata
- 3 years of experience in Cloud Technologies, including AWS and Azure
- 3 years of experience in Python or Spark
- 3 years of experience in Datamesh
- 3 years of experience in Datalake
- 3 years of experience in Snowflake
- 3 years of experience in AWS
- 3 years of experience in Developing and operating production workloads in cloud infrastructure
- 3 years of experience in Software development lifecycle (SDLC), including Agile/iterative methodologies and toolsets
Responsibilities
- Serve as the subject matter expert and/or technical lead for large scale data products.
- Drive End-to-End solution delivery involving multiple platforms and technologies with medium-to-large complexity or oversee certain parts of very large complex implementations, leveraging ELT solutions to acquire, integrate, and operationalize data.
- Partner with architects and stakeholders to influence and implement the vision of the pipeline and data product architecture while safeguarding the integrity and scalability of the environment.
- Articulate risks and tradeoffs of technology solutions to senior leaders with translations as needed for business leaders.
- Maintain accountability for data pipeline and product physical solution designs across teams as well as tool recommendations.
- Evaluate and assess open source tools and frameworks.
- Maintain accountability for Data Engineering Practices across all involved teams.
- Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level.
- Regularly conduct market research to maintain understanding and awareness of emerging data and analytics technologies, tools, techniques, and frameworks.
- Evaluate, recommend, and influence all technology-based decisions for tools and frameworks for effective delivery.
Benefits
- short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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What This Job Offers
Job Type
Full-time
Career Level
Senior
