• Design and implement the end-to-end data transformation lifecycle using dbt Cloud and Databricks. • Build and evolve the diagnostic engine that detects Product Gaps, Operational Errors, and Technical Hotfixes. • Transform technical complexity into high-performance, self-describing Data Products. • Serve as the technical escalation point, define best practices for modeling, testing, and documentation. • Lead the transition toward a decentralized data model, developing self-serve standards and spearheading AI agent initiatives.

Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM's Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trustworthy automated-driving products. As the central authority for automated driving system (ADS) safety, SAFE-ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM's automated-driving technologies. GM's vision is zero crashes, zero emissions, and zero congestion-and autonomous vehicle safety is essential to achieving that vision. The Role The AV Safety Engineering Analytics team is seeking an AV Safety Analytics Engineer with capabilities at the intersection of automotive engineering, data science and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations. If you're passionate about the benefits of autonomous vehicle technology, committed to advancing safety through innovation, and love channeling big data into clear guidance, this role offers exciting opportunities to make a meaningful impact on the future of transportation safety in a dynamic and fun environment. As part of the AV Safety Engineering Analytics team, you will work closely with cross-functional partners and internal customers to prototype, define, and productionize performance metrics and sufficiency criteria. You will engage deeply with stakeholders to understand their challenges and needs, collaborate to develop solutions. What You'll Do - Develop data analytics infrastructure that supports safety assurance analytics addressing internal and external stakeholder needs across the phases of automated vehicle development and deployment, including both real-world and simulation data. - Develop interactive visualizations in support of enhancing transparency and reduction in barriers to source data interrogation. - Pilot and define metrics for monitoring of development operations and deployment, and establish sufficiency criteria for launch readiness. - Identify relevant data for supporting safety monitoring and the development of a reliable supply chain of continuously flowing data from a variety of sources (internal and external) to support safety assurance related activities. - Develop cloud-based continuous up-time analytics pipelines that manage data from a raw form, through analyses, and into browser based interactive visualizations and periodic reporting artifacts. - Select appropriate engineering- and physics-based signal processing, sampling, filtering, smoothing etc to prepare raw signals for analyses and/or storage in a down sampled form. - Integrate and transform data streams to construct physically meaningful representation of vehicle motion, driving context, and intermediate system performance, including reduction of time-series representations to features. - Apply engineering domain expertise to distinguish erroneous sensor data from real outliers. - Optimize code for efficiency and package for automated cloud-based execution Your Skills & Abilities (Required Qualifications) - Bachelor's degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field; or equivalent practical experience - 5+ years of experience in large scale data analyses of human and/or automated driving performance related data - 5+ years in ADAS, autonomous vehicles, robotics or related field - Experience in the following: - Programming & Frameworks : Python, SQL - Cloud & Big Data: Extensive experience in cloud-based large scale process including notifications, queuing, serverless cloud functions, event driven processing, code as infrastructure, containerization, process monitoring, process optimization, identity and access management, service to service access, etc. - Statistics: Working familiarity with descriptive statistics, managing bias in large data mining activities, experimental design, sampling strategies. - Dev Ops and Infrastructure as Code: CI/CD, versioning, Docker & Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform - Data Analysis & Visualization : Tableau, PowerBI, Plotly/Dash, Shiny, Pandas, NumPy - Proven track record providing large scale and continuous analytics development and deployment - Excellent communication and collaboration skills, with the ability to work effectively in a team environment - Strong problem-solving mindset and a proactive attitude towards learning and self-improvement What Will Give You A Competitive Edge (Preferred qualifications) - Experience in processing and analyses of large-scale vehicle motion and context related data to characterize driving performance - Record of involvement in vehicle safety related discourse through conference participation or publications. 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. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. #LI-SA2 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. 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 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 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. Non-Discrimination and Equal Employment Opportunities (U.S.) 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 providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 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. Accommodations 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 1-800-865-7580. 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.

• Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse. • Design, build, and optimize data models to support analytical needs and reporting requirements. • Collaborate with data scientists to implement and deploy machine learning models and analytical solutions. • Monitor data quality and identify and resolve data integrity issues. • Contribute to the development of data documentation and metadata management practices. • Work with stakeholders to understand their data needs and translate them into technical requirements. • Assist in the evaluation and implementation of new data technologies and tools. • Participate in code reviews and contribute to the development of coding standards and best practices. • Independently manage assigned tasks and projects, ensuring timely delivery and quality results. • Proactively identify opportunities to improve data processes and systems.

Role Description Flexion is looking for an Analytics Engineer for an enterprise-level application development project to help modernize data infrastructure and transform reporting and discover insights for one of the nation's largest pork producers. In this role, you must possess excellent problem-solving skills and deep technical knowledge, with a strong aptitude for understanding the focus, scope, and impact of your work in a broader, forward-looking software landscape. We are looking for an Analytics Engineer with strong data modeling skills and hands-on experience building reports and dashboards that real business users rely on every day. It is important to use test-driven development with full code coverage. This team works in close collaboration with business stakeholders, iterating quickly based on direct feedback from the people who depend on the data every day. - Design small pieces as you go, while still thinking about how they fit into the whole. - Welcome change as a positive thing and never look at anything you deliver as “final.” - Understand when “good enough” really IS good enough, without compromising on overall product quality. - Focus on team health, communications, and problem-solving to create a good working team. Qualifications - 5+ years of analytics engineering or BI development experience, ideally in agricultural production, supply chain, or enterprise operations. - BS (or higher) in Computer Science, Data Engineering, Data Science, or a related field. - Proficiency in data modeling for analytics — dimensional modeling, star schemas, and building report-ready data marts. - Proven experience building operational and financial reports and dashboards that business stakeholders rely on for day-to-day decisions. - Experience with dbt (data build tool) or similar transformation frameworks. - Strong proficiency in SQL for complex data transformations and operational reporting. - Hands-on experience with AWS QuickSight or Power BI, including dataset design, calculated fields, and dashboard publishing. - Knowledge of AWS cloud services (S3, Glue, Aurora, Athena, CloudWatch). - Familiarity with data lakehouse architectures and cloud-native ETL/ELT patterns. - Experience integrating data from multiple third-party vendor APIs and disparate source systems. - Self-motivated with strong communication skills for cross-functional collaboration with non-technical stakeholders. - Passion for learning new technologies and new business domains quickly. - Ability to write high-quality, testable code with comprehensive error handling. - Experience with Agile application development. - Test-Driven Development mindset for data pipeline reliability. - Experience with data quality validation, reconciliation processes, and error handling patterns. Benefits - Comprehensive health, dental, and vision coverage. - Life and disability insurance. - Flexible spending accounts. - 401(k) plan. - Generous paid time off. - Referral bonuses. - Commitment to well-being and career success. Company Description At Flexion, our company culture is built on autonomy, trust, and transparency. We empower teams to remain autonomous and self-directed by hiring people who can solve complex problems collaboratively. Every member within a cross-functional team is a leader who takes responsibility for the entire team’s success, which mirrors the company’s overall approach of low hierarchy. We believe that growth comes from working together, supporting each other through thoughtful, constructive feedback. - Speak openly and honestly with your colleagues and clients about problems and proposed solutions. - Welcome and handle changing requirements and priorities with little or no warning. - Collaborate online in small groups about 50% of the time. - Encourage simple and minimal solutions that keep options open. - Expect and vocally advocate for quality first. - Learn new practices and techniques as the situation demands. - Ensure the teams develop demonstrable software every week or two. - Do what needs to be done to deliver the product or project without ego or attitude. - Dig deep to find the root causes of problems to create the right solutions. - Relentlessly improve yourself, your team, and your processes. - Offer and welcome constructive feedback as a tool for continuous team and individual growth. - Embrace AI assistants (e.g., ChatGPT, NotebookLM) as force multipliers to accelerate innovation, iterate faster, and maintain high-quality output.