Staff Data Engineer, Activation Science

Posted 2 Days Ago
Hiring Remotely in District of Columbia
Remote
7+ Years Experience
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Role
Collaborate with stakeholders to deliver analytics solutions using cloud-first technologies. Develop and implement data engineering solutions. Stay updated with emerging trends in Data Engineering. Requires 7+ years of experience and strong technical skills in Python, SQL, Azure, Databricks, Spark, and data engineering practices.
Summary Generated by Built In

Description
The Role
The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The individual will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company's most critical business areas.
As a Data Engineer, you will build analytical data sets in support of Advanced Analytics projects. You will work closely with our forward-thinking Researchers and Data Scientists to deliver value to our vision for the future. Are you ready to join a future facing team?
This role reports to the Product Owner of Marketing Activation Science, with leadership visibility to the greater Enterprise Data, Analytics, and Insights organization focused on democratizing data and decisions.
What You'll Do

  • Collaborate with internal and external stakeholders, including Activation Data Science to deliver on the portfolio.
  • Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale our engineering capabilities.
  • Adhere to standards and processes to validate, monitor, and support data products that enable our decision science portfolio and data science capabilities.
  • Collaborate with cross-functional teams, including data governance, security, data architecture, release management, Dev & ML Ops, and infrastructure, to ensure seamless integration and alignment of data engineering initiatives.
  • Stay up to date with emerging trends and technologies in the field of Data Engineering, and proactively identify opportunities for improvement and innovation within our organization.
  • Participate in a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.


Additional Description
Your Skills & Abilities (Required Qualifications)

  • 7+ years of hands-on experience developing and implementing enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data pipelines and reporting.
  • Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, Software Engineering, or a related field. Master's degree is a plus.
  • Strong problem-solving and analytical skills with practical experience analyzing and curating large scale customer event data products from disparate data sources including 1st party and 3rd party data and map type data with variable structure.
  • In-depth knowledge of industry-standard Data Engineering practices including data privacy & security, ETL/ELT, data architecture, data quality assurance, performance optimization, source code management, release management, and operations.
  • Expert programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub.
  • Effective communication and people skills, with the ability to collaborate effectively with cross-functional technical teams and non-technical stakeholders.
  • Naturally curious with the ability to work independently and proactively.
  • Experience working in an Agile development environment.
  • Experience deploying machine learning models and process automation


This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, you are expected to report to that location three times a week, at minimum.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
#LI-CC1
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Top Skills

Python
SQL

What the Team is Saying

Divya
Eseme
Kendra
Navya
Charles
Victoria
Sri
Jeremiah Hamlin
The Company
HQ: Detroit, MI
165,000 Employees
Hybrid Workplace
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all.

Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Our “Work Appropriately” philosophy enables our employees have the flexibility to work where they can have the greatest impact to achieve their goals and for their individual success, depending on the nature of their work.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

General Motors Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
Company Office Image
HQDetroit Renaissance Center Global HQ
FR
IL
JP
NO
NZ
Alvear, Santa Fé
Company Office Image
Austin IT Innovation Center
Bengaluru, IN
Bogotá, CO
Company Office Image
Charlotte Technical Center
Huechuraba, Santiago Metropolitan Region
Indaiatuba, São Paulo
Kapuskasing, Ontario
Langley, British Columbia
Ireland IT Innovation Center
Markham, Ontario
Melbourne, Victoria
Mexico City, MX
Milford, MI
Company Office Image
Mountain View Tech Center
Münster, DE
California Design Center
Oshawa, Ontario
Company Office Image
Pontiac Engineering Center
Ramos Arizpe, Coahuila
Company Office Image
Roswell, GA
São Caetano do Sul, São Paulo
Silao, Guanajuato
Company Office Image
Global Technical Center
Learn more

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account