Senior Data Engineer
Seattle/Bellevue, WA
Applications have closed
Assurance IQ, LLC
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About AssuranceAt Assurance we are disrupting the antiquated and inefficient world of insurance and financial services. Our team of world class software engineers, data scientists, and business professionals are modernizing how people obtain and manage their financial life all through our powerful platform ecosystem. We are rapidly growing as we expand our product offerings and global footprint, and this growth continues to present new and exciting challenges as we push our industry into its future. We eliminate waste throughout the industry and calculate the complex into simple, valuable solutions to improve people's lives. We are humble, driven, and committed to improving the lives of millions.
About the Position As we build the future of consumer insurance in a modern age, data is at the core of everything that we do. The role requires team members who are adept at building software tools to move and organize data with an approach that is rooted in improving the insights and efficiency of the business. Our team uses a variety of data mining and analysis methods, a variety of data tools, builds and implements models, develops algorithms, and creates simulations. Our Data Engineers design and build the backbone that makes this development possible with no support from engineering (we own our stack end to end). At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise.
At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise. If this sounds like a good fit for you, give us a shout, we’d love to chat!
Please review our CCPA policies here.
About the Position As we build the future of consumer insurance in a modern age, data is at the core of everything that we do. The role requires team members who are adept at building software tools to move and organize data with an approach that is rooted in improving the insights and efficiency of the business. Our team uses a variety of data mining and analysis methods, a variety of data tools, builds and implements models, develops algorithms, and creates simulations. Our Data Engineers design and build the backbone that makes this development possible with no support from engineering (we own our stack end to end). At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise.
To be successful in this role, you must possess the following:
- Expertise in modeling data
- Experience with Spark, Hadoop/EMR, SQL
- Ability to optimize data access for speed/reliability/velocity as needed by the business
- Comfort with QA’ing your own data, to include ‘menial tasks’ like listening to calls or scrubbing excel files to ensure everything is correct
- Comfort with learning new technologies to help the team explore new solutions to existing problems
- A drive to move fast and deliver business value
- Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked.
- Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business.
- Enthusiastic yet humble – you are excited about the work you do, but you are also humble enough to embrace feedback – you don’t need to be the smartest person in the room.
The following additional experience is desired:
- Capable of modifying an existing job to add a new field and get it into production within a day.
- Capable of creating a new data pipeline/job within 2-3 days.
At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise. If this sounds like a good fit for you, give us a shout, we’d love to chat!
Please review our CCPA policies here.
Tags: Data Mining Engineering Excel Hadoop Spark SQL
Perks/benefits: Career development
Region:
North America
Country:
United States
Job stats:
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Category:
Engineering Jobs
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