Senior Data Engineer
Columbus, OH (or Remote)
Beam Benefits
Smarter employee benefits including dental, vision, life, disability, and supplemental health. Our plans are easy to understand, implement, and use.Joining Beam Benefits Means:-Working in a complex and dynamic business, simultaneously serving customers across employee benefits insurance product lines and growth and service channels-Collaborating with a diversely skilled team to continuously improve-Being empowered as an owner and expert-Being motivated by improving how people access employee benefits
The Role:Beam is looking for an experienced Senior Data Engineer to join our engineering team. In this role, you will be working cross-functionally with business domain experts, analytics, and engineering teams to build and maintain our data platform. You will have a significant part in building a solid data foundation for a data-driven company.
What You Will Bring: You're an engineer with a passion for data and information. You possess a strong knowledge of both data modeling and engineering. You're confident with cloud technologies and infrastructure. You're comfortable working independently while collaborating across various business and technical teams to deliver solutions. You are unafraid to tackle the unfamiliar and bring clarity to complex concepts. You have a drive to learn and grow as a professional and technologist.
What You Will Do:
- Build and maintain data pipelines to ingest data from internal and external sources into our data lake
- Develop and maintain our data warehouse
- Build and maintain our overall data platform to support the needs of the organization
- Work with teams to develop and deploy machine learning resources
What Skills Will Help You Be Successful:
- 5+ years of experience working as an engineer with cloud data architecture (AWS, GCP), preferably in an insurance domain
- 2-3 years of Data warehousing experience
- 2-3 years of Advanced Python experience in Python
- 2-3 years of Infrastructure-as-code experience
- 2-3 years of Proficient in SQL concepts, such as window functions
- 1-2 years Experience using Workflow orchestration tools such as Dagster or Airflow
- Experience working with Docker
- Familiar with transformation tools such as dbt
- Experience with SaaS ETL tools such as Fivetran
- BI visualization administration experience such as Tableau or Looker
- Ability to read Ruby code is a plus
- Experience working with SaaS data such as Salesforce, Hubspot, and Google Analytics is a plus
- Nice to have Machine learning operations experience
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS CX Dagster Data pipelines Data warehouse Data Warehousing dbt Docker Engineering ETL FiveTran GCP HubSpot Looker Machine Learning Pipelines Python Ruby Salesforce SQL Tableau
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance
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