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Arity – Senior Data Analytics Engineer – (Remote – HBW)


Job detailsSalary$108,000 – $147,000 a yearEncouraged to ApplyFair chanceJob TypeRemoteBenefitsPulled from the full job description401(k)401(k) matchingDental insuranceHealth insurancePaid time offVision insuranceFull Job Description

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 herethe 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.

Thats because at Arity, we believe work and life shouldnt be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We dont just want you to see yourself here. We want you to be yourself here.

The Team

Our Data Science team is fueled by a passion to impact the future of mobility. We love to find the meaning within the 100s of billions of miles of driving data we collect each year. We push the boundaries of telematics and transportation by building data and machine learning solutions to power our groundbreaking products. We are a team of data scientists, data engineers, software engineers, and analysts that take full ownership of our use of a variety of languages and techniques and a top-notch technology stack to advance the state of the art for mobility data science. As a part of the team, in collaboration with product owners and other experts, your work will showcase your intelligence and creativity as you solve real problems that will improve transportation and even save lives. Personally, we think thats pretty game-changing stuff.

The Role

We are seeking a highly motivated Senior Data Analytics Engineer to join our Analytics team. Youll help us continue to build out an analytics data ecosytem that organizes our data for research, merges disparate sources together, and ensures data privacy best practices. You will work with a team of world-class data scientists and engineers dedicated to creating the best telematics data and insights platform in the market. You will help us build the next generation of deep mobility insights by extracting relevant patterns from users trip data using machine learning and geospatial techniques. Your team will help us find new sources of telematics data and figure out how to ingest, normalize, and process it at a scale of over 1,000 trips per second with full system observability.


Build pipelines that source data from operational systems and then process and organize it to optimize for R&D efforts across Arity
Apply appropriate methodologies for the problem using a variety of languages and tool sets
Create highly reusable and reliable code and leverage CI/CD principles to create robust data applications
Explore data across the company and work cross-functionally to find opportunities for new data sets that can support our products
Ensure projects have appropriate measures of success that support data-driven development
Create reusable validations of data pipelines and guide the implementation of monitoring
Support a culture of reproducibility via peer review, code review, and documentation
Drive continuous improvement of data science and data engineering practices to create world-class capabilities
Influence analytics strategy and roadmap with your combination of data engineering expertise and domain experience
Build the Arity technical brand by engaging in conferences, meetups, blogs, and other external public engagements
Drive recruiting by building relationships in the industry and supporting our interviewing efforts


Bachelors degree in Geospatial Science, Mathematics, Statistics, Physics, Computer Science, or Engineering, or related quantitative field. A Masters degree is preferred.
A few years of industry experience in data engineering or related roles
Geospatial, sensor, or telematics experience is quite valuable, but not required
Respected by peers for technical prowess in Python, Scala, or relevant languages
Ability to translate business problems into well-defined data and analytics problems with quantitative success measures
Experience driving end-to-end data engineering projects to generate measurable business value, including ideation, development, deployment, and maintenance & monitoring
Ability to envision and articulate radical change through highly innovative thought leadership
Inspires, mentors, and enables team to be bold and deliver high quality work
Comfortable in a fast-paced environment with high ambiguity; inspires others to embrace these conditions
Great interpersonal communicator / collaborator with both technical and non-technical team members
Competitive with themselves while being humble

Whats in it for you?

Generous PTO, and plenty of holidays. Take the time you need to refresh.
Medical, Dental, & Vision.
401k with match, plus a pension.
All jobs at Arity are remote. You want to work from a Florida beach for the summer? Were all adults go for it.

Thats the day-to-day, now lets talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But youll be working forand atArity. Its the best of both worlds. Youll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. Its a culture that encourages you to be you.
Sound like a fit? Apply now! We cant wait to meet you.

Compensation offered for this role is $108,000.00-$147,000.00 per year and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Thats the day-to-day, now lets talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But youll be working forand atArity. Its the best of both worlds. Youll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. Thats more than just free breakfasts and brain breaks. Its a culture that encourages you to be you.
Sound like a fit? Apply now! We cant wait to meet you. Instagram Twitter LinkedIn
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. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the EEO is the Law poster click here. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click here. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Companys policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employees 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

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