Data Engineer

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Canada
Remote
Senior level
Automotive • Consumer Web
Truth that transforms. Data and analytics that improve business and customer experience.
The Role
As a Data Engineer at J.D. Power, you will enhance automotive industry data processes, collaborating with various teams to develop and maintain data products that solve complex client challenges. Your responsibilities include troubleshooting ETL processes, implementing data engineering best practices, and contributing to new product development.
Summary Generated by Built In

Title: Data Engineer (P3)

Location: Remote Canada

Reports To: Director - Data Engineering


The Role: 

J.D. Power is looking for a data engineer with excellent quantitative and analytical skills. Our ideal candidates are determined to use their skills to combine multiple data sources together to solve complex client questions around vehicle transactions, incentives, valuations, market readiness, and customer purchase decisions. You’ll work hands on with quantitative data to help create new capabilities, and to improve and maintain existing capabilities.


The Impact You Will Have in This Role: 

We make data products that solve problems for the auto industry. Every data engineer will work on projects that go into production and directly impact new and existing products.

What You'll Be Doing in This Role: 

  • Daily immersion in automotive industry data
  • Design, troubleshoot, and execute repeatable data processes, in which you’re finding bottlenecks and ways to become incrementally more efficient
  • Collaborate with stakeholders to gather and understand data processing requirements, with consistent proactive demonstration of business acumen and market dynamics
  • Implement fundamental data engineering concepts and best practices
  • Proactively conduct own QA and flags where processes can and should be refined, with limited oversight
  • Contribute meaningfully to new product development, on top of production, by executing independently to plans (and by influencing the plans themselves) for new features on existing products, and for net-new products or approaches
  • Interdisciplinary work: you’ll interact with multiple teams across the firm to implement solutions and improve processes. This includes Customer Success, Product Development, Data Engineering, Data Science, AI Engineering, Data Visualization, etc.


Qualifications of this Role: 

  • Expertise in extract, transform, and load (ETL) processes with quantified efficiency and accuracy outcomes. Experience in bringing together data sets across multiple sources, with multiple dimensions and layers of complexity
  • Experience with cloud platforms such as AWS (Redshift, S3), Google Cloud (BigQuery) or Palantir
  • Demonstrated exposure to (not expertise in) data analytics, statistical modeling/ML such as multivariate regression, logistic regression, time-series modeling, forecasting, and areas like machine learning and AI-driven data QA
  • Fluency of database software: SQL required
  • Fluency in programming languages: Python preferred
  • Experience resolving data issues in creative and effective ways. Acumen and gut instincts to know when to say, “This doesn’t seem reasonable.”
  • Independent professional who can take a vision and implement with limited instruction
  • Bachelor’s degree (required), with a background in statistics, machine learning, computer science, or mathematics preferred
  • An effective cross functional communicator in both written and verbal skills
  • Ability and willingness to learn in a fast-paced environment
  • Resilient work ethic
  • 5+ years of full-time professional experience in data engineering and quantitative analytics, contributing to business impact through data-driven solutions


The Hiring Manager says: 

We want data engineer candidates who can monitor, improve, and create data processes independently and with an eye toward continuous improvement.  We need the capability to leverage the right data sets efficiently from an impressive set of data assets that is unrivaled in this space.


The Way We Work: 

  • Leader Led
  • Remote First
  • Foster Flexibility
  • Reward Performance
  • Time Off Matters


Company Mission 

J.D. Power is clear about what we do to ensure our success into the future. We unite industry leading data and insights with world-class technology to solve our clients’ toughest challenges.  

Our Values 

At J.D. Power, we strive to be Truth Finders, Change Makers and Team Driven - the distinct behaviors that, together, define our unique culture.   


J.D. Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. 

J.D. Power is an equal-opportunity employer and compliant with AODA/ADA legislation. Should you require accommodations during the recruitment and selection process, please reach out to [email protected]

 

To all recruitment agencies: J.D. Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. 



Top Skills

Python
SQL
The Company
HQ: Troy, MI
1,240 Employees
On-site Workplace
Year Founded: 1968

What We Do

At J.D. Power we amplify the voice of the consumer, and help brands improve the value of their products and services. Together, these principles empower everyone in the global commerce ecosystem, enabling better purchase decisions – and better business results.

Since 1968, companies around the world have trusted J.D. Power to generate and gather the consumer insights that illuminate and inform business success. J.D. Power quality and satisfaction measurements are based on responses from millions of consumers annually, resulting in actionable tools and insights to help the firm's clients better serve their customers and be more profitable.

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