Senior Data Engineer
$129.4k - $212.3kTowards AI, Inc.
- Senior Data Engineer## General MotorsPublished 28 Mar 2026## Role Highlights### Languages usedPythonSCALASQL### Key skillsData ScienceData EngineerBig DataData CollectionData ArchitectData InfrastructureData GovernanceComputer ScienceCICDSMEBusiness IntelligenceData ProcessingData ManagementData QualityStorageDataSetsAutomationOptimizationSecurityETLNOSQLStreamingCloudModellingClusteringArchitectureSearch### Tools, Libraries and FrameworksMountain ViewKubernetesKafkaAzureAWSGCPDataBricksSnowFlake## Description\\\\Job Description\\\\\\\\This role is based remotely but if you live within a 50-mile radius of \\[Austin, Detroit, Milford or Mountain View\\], you are expected to report to that location three times a week, at minimum.\\\\\\\\The Role\\\\The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Sr. Data Engineer role is responsible for designing, developing and maintaining data pipelines, databases and data infrastructure to enable the efficient data collection, storage and analysis in support of marketing strategies. This role requires collaboration with data scientists, data infrastructure architects and data consumption stakeholders to ensure the availability of high-quality data for insights and decision making is available and will deliver value to the GM strategic vision for the future and meet prioritized business needs. This role drives to deliver innovative solutions with technical fidelity and thrives to work effectively across a cross-functional data and stakeholder ecosystem.\\\\What Youll Do\\\\\\+ Developaccurate, consistent analytical datasets to support advanced data science and business intelligence initiatives.\\+ Evaluate business requirements,identifyrelevant data sources, and create datasets that enable actionable insights.\\+ Profile and assess data quality to ensure alignment with businessobjectivesand analytical needs.\\+ Integrate and transform data from multiple sources, building scalable and optimized data pipelines.\\+ Maintain comprehensive metadata, logical models, and data dictionaries for all analytical assets.\\+ Act as the subject matter expert (SME) for analytical datasets, providing guidance and resolving inquiries from data scientists.\\+ Design and implement process improvements, including automation, data delivery optimization, and infrastructure scalability.\\+ Collaborate with business and technology partners to address data-related issues and define infrastructure requirements.\\+ Ensure data quality, security, and compliance with governance and privacy regulations.\\+ Lead and mentor team members and contract resources, driving best practices and educating peers on emerging technologies.\\\\Your Skills & Abilities (Required Qualifications)\\\\\\+ Bachelors degree in Computer Science, MIS, Software Engineering, or a related field.\\+ 5 - 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL).\\+ 3+ years of experience as a data engineer or in a similar role.\\+ 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes).\\+ Proficiencyin data streaming in Kubernetes and Kafka.\\+ Experience with cloud platforms Azure preferred; AWS or GCP also considered.\\+ Solid understanding of CI/CD principles and tools.\\+ Familiar with predictive / analytical modeling techniques, theories, principles, and practices.\\+ Strong understanding of performance optimization techniques such as partitioning, clustering, and caching.\\+ Proficiency with SQL, key-value datastores, and document stores.\\+ Familiarity with data architecture and modeling concepts to support efficient data consumption.\\+ Strong collaboration and communication skills; ability to work across multiple teams and disciplines.\\\\What Can Give You a Competitive Advantage (Preferred Qualifications)\\\\\\+ Masters degree in Computer Science,MIS,Software Engineering, or related field.\\+ Knowledge of data governance, metadata management, or data quality/observability.\\+ Familiarity with schema design and data contracts.\\+ Experience handling various file formats.\\+ Experience with Databricks, Snowflake, or similar platforms.\\+ Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files, externalfiles).This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.\\\\Compensation:\\\\\\+ The expected base compensation for this role is: $129,400 - $212,300. Actual base compensation within the identified 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., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)\\#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 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-beingat work and at homeso 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
- J-18808-Ljbffr Towards AI, Inc.
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