Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
At Arity, analytics is at the heart of what we do. We are looking for a Data Analytics Engineer to join our amazing Insurance Telematics team. Our team builds analytics-centric products and solutions in the insurance space such as driving scores and mobility attributes. Our analytics community is made up of passionate and talented individuals and leaders with diverse backgrounds. We believe in a culture of recognition of good work, continuous learning, succeeding together, and having fun along the way. Come see why we’re one of Built In Chicago’s best places to work in 2021!
The Data Analytics Engineer will join a team of data scientists and data engineers to help the team access our most tremendous asset – data. This person will be transforming data from telematics, insurance, and other challenging data sources. This person will help design, create, and run data pipelines by fully utilizing their coding expertise, domain knowledge, and Arity’s technology stack.
The day-to-day work of a Data Analytics Engineer will include:
- Creating and running big data pipelines and improving infrastructure to support analytics
- Exploring new data sources and making them usable for the team
- Working closely with data scientists on the team to refine insurance product offering
- Background in either Computer Science, Mathematics, Data Architecture, or related fields
- Experience preparing datasets and an excellent understanding of what it takes to efficiently work with complex data
- Excellent skills coding in Python and/or Scala
- Familiarity with Spark. Familiarity with SQL is a plus.
- Thrives working in a team environment
- Enjoys communicating and collaborating with others
- Familiarity working in a server environment
- Detail-oriented, double checks data/work against expectations, and takes pride in good documentation
- An innate curiosity and ability to learn new technologies
The minimum salary for this position is $90,000. The salary offered will be commensurate with experience.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
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It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment