Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development. Key Responsibilities - Create functional black box tests for large codebases in various source languages - Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms - Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards - Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality

• Lead and manage data migration projects within the financial services sector, ensuring seamless transfer of data between systems. • Develop detailed project plans, timelines, and risk mitigation strategies related to data migration activities. • Collaborate closely with business analysts, data architects, IT teams, and stakeholders to understand data requirements and migration scope. • Oversee data validation, cleansing, and testing to ensure data integrity and accuracy post-migration. • Coordinate resources and manage dependencies to meet project deadlines and quality standards. • Ensure compliance with regulatory requirements and data governance policies throughout the migration process. • Provide regular status updates, reports, and documentation to senior management and stakeholders. • Drive continuous improvement initiatives to optimize data migration methodologies and best practices.

• Embed Data Strategy: Partner with vertical Product Managers and Engineering leads during the design phase of new features. You will ensure that every Product Requirement Document (PRD) includes a defined data strategy—specifying exactly how data is captured, stored, and validated. • Design Review: Act as a technical reviewer for major product initiatives, asking the critical questions: *“How does this change the data model? Does this create a duplicate field in core applications? How will we report on this?”* • Standardization: Establish the standards for how our Product team defines data requirements, ensuring consistency in how we track loan lifecycles, customer statuses, and financial transactions across different squads. • Data Modeling: Oversee the logical data model within our Core Applications and Salesforce. You will ensure that as we scale, our schema remains clean, normalized, and efficient, preventing "tech debt" in the form of messy or redundant data fields. • Lineage & Overrides: Own the logic for Data Lineage and Data Overrides. You will define the rules for which system is the "source of truth" when data conflicts occur and ensure we have an audit trail for manual overrides in core apps. • Governance at the Source: Implement "Governance by Design" by working with Engineering to build validation rules and constraints directly into the application layer, preventing bad data from ever entering our ecosystem. • The Analytics Bridge: Serve as the primary liaison between the Product/Engineering organization and the Analytics/Data Science teams. You will ensure that upstream application changes do not break downstream reporting or AI models. • Translation: Translate complex analytical requirements (e.g., specific features needed for a risk model) into actionable engineering tickets for the Core Application teams. • Data Availability: Ensure that the data generated by our products is accessible, documented, and structured in a way that allows the Analytics team to self-serve, reducing the dependency on ad-hoc engineering support.

Job Description The Role As a Staff Data Engineer within the Marketing Applied Sciences organization, you will be responsible for designing and developing high-quality, well-managed, and reusable data and analytics products (including AI/ML, Data, and Marketing solutions) for applied analytics solutions and insights. You will design, build, and optimize data engineering pipelines and marketing data products, as well as contribute to AI agents, LLM-based solutions, and Ad Ops pipelines, while owning and enforcing data and AI standards and ensuring security and compliance. Additionally, the Data Engineer will contribute to building and maintaining LLM-based AI agents using both platform-native capabilities and custom agent frameworks, integrating them with enterprise-scale AI models and data systems. Agents will include wrappers and UI to seamlessly integrate sub agents. You will also be responsible for monitoring, maintaining, and enhancing data and ML pipelines and associated agents. This role will also be responsible for integrating with 3rd party data providers and marketing platforms, APIs, and providing marketing insights. As a Staff Data Engineer you will collaborate closely with product managers, data engineers, data scientists, and other partners to develop state-of-the-art AI and Data Engineering solutions that enable the future of marketing. Success in this role requires a blend of technical aptitude, marketing know-how, and cross-functional collaboration. This role is ideal for someone who thrives at the intersection of data engineering, data science, and marketing strategy, and who is eager to shape the future of customer experiences at one of the world’s most iconic automotive brands. What You’ll Do - Define, own, and enforce data and AI/ML standards and industry best practices and dedicate efforts to mentoring and overseeing AI/ML efforts across the Marketing Applied Sciences portfolio - Build and maintain scalable data pipelines, services, and AI agents to accelerate and optimize business processes and tooling - Identify and implement optimizations that improve the runtime, performance, scalability, stability, and cost efficiency of data platforms, pipelines, and AI/ML agents and workflows - Own data stewardship for key marketing datasets, driving data quality, documentation, access controls, and responsible use in partnership with data governance, privacy, and marketing stakeholders. - Help design and evolve marketing and Ad Ops data infrastructure, including privacy-safe environments such as data clean rooms, to enable advanced audience insights, activation, and measurement. - Design and implement robust data models, ingestion, and transformation workflows that ensure high-quality, well-documented, and discoverable data for analytics and AI use cases. - Collaborate with the Engineering community to highlight best practices, implement tactics, and provide feedback to the community - Build unit and integration tests, data quality checks, logging and observability, and all industry-standard best practices to ensure products are production ready - Elevate data and system design, diagnostics, and operational excellence to higher standards Your Skills & Abilities (Required Qualifications) - Bachelor’s degree in Computer Science, ML Engineering, Data Engineering, Information Systems, Mathematics, or a related technical field. - 8+ years of experience in Software Engineering, Data Engineering, Data Science or related field, building, maintaining and optimizing distributed systems - Experience building high performance data and AI solutions - Experience in Python and/or other Object-Oriented programming languages (Java, C++ etc.) - Proficiency in SQL and distributed data processing frameworks such as PySpark - Proficient with modern data platforms and tools such as Databricks, Airflow, dbt, Snowflake, Kafka, or similar - Proficient with cloud architecture systems such as Azure, AWS, GCP, etc.  - Ability to communicate complex solutions with fellow Engineers and non-technical business stakeholders alike - Demonstrated ability to lead projects that bridge marketing, data science, and technology to drive measurable outcomes - Strong understanding of modern data architectures and pipelines, and familiarity with LLMs, AI agents, automation, and related best practices - Demonstrated success in collaborating with cross-functional teams and translating business requirements into scalable data and AI/ML solutions.  What Can Give You a Competitive Advantage (Preferred Qualifications) - Master’s degree in Computer Science, ML Engineering, Data Engineering, Information Systems, Mathematics, or a related technical field. - 2+ years of experience with paid, earned, and owned media or marketing analytics The salary range for this role is ($160,200 - $246,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 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 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. 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. 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 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.