<p><b>Introduction: A Career at HARMAN Automotive</b></p><p></p><p>We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.</p><p></p><ul><li><p>Engineer intelligent systems and data-driven solutions that enhance personalization and entertainment as part of in-cabin experience</p></li><li><p>Combine research, experimentation, and collaboration across multiple engineering disciplines</p></li><li><p>Advance analytics and machine learning capabilities that power next generation automotive solutions</p></li></ul><p></p><p><b>About the Role</b></p><p></p><p>As a Data Engineer on the Innovation Team, you will design and build an end-to-end audio data collection and consumption platform that enables advanced analytics, audio information retrieval, and personalization capabilities across Car Audio Division</p><p></p><p>You will establish standardized, secure, and scalable pipelines to collect, curate, and govern data from internal engineering systems, companion apps, and connected-vehicle telemetry. You will collaborate closely with Data Scientists, ML Engineers, Embedded/DSP Engineers, and Audio Experts to ensure high-quality data products are consistently available for experimentation, training, validation, analysis, and production monitoring—while meeting strict privacy, security, reliability, and automotive compliance requirements.</p><p></p><p>You will also serve as a platform consultant, advising other departments on data architecture, data contracts, ingestion design, and downstream consumption, while adhering to strict privacy, safety, and reliability requirements.</p><p></p><p><b>What You Will Do</b></p><p></p><ul><li><p>Design and implement standardized data ingestion frameworks for batch and streaming sources (internal databases, user‑preference data, vehicle telemetry).</p></li><li><p>Define and maintain data models and data contracts (schemas, semantics, versioning rules) for audio-related files, user preferences and metadata including quality guardrails (schema validation, anomaly detection, etc.)</p></li><li><p>Develop and maintain data lakes / lakehouse architectures</p></li><li><p>Design and implement standardized API for data consumption.</p></li><li><p>Prepare and curate high‑quality datasets for AI/ML model training, validation, experimentation and statistical analysis.</p></li><li><p>Collaborate directly with ML Engineer and Data Scientist to optimize data formats for training performance and storage efficiency</p></li><li><p>Design cost‑aware policies for data retention, sampling, compression, and technology selection</p></li><li><p>Optimize pipeline execution times and resource usage (batch vs streaming, compute sizing, caching strategies)</p></li><li><p>Establish measurable KPIs for data cost efficiency, pipeline reliability, and performance</p></li><li><p>Ensure compliance with internal policies, OEM requirements, and regulatory constraints</p></li><li><p>Create clear documentation for pipelines, schemas, and architectural decisions</p></li><li><p>Mentor other engineers on practical data engineering, performance tuning, and cost‑efficient design</p></li></ul><p></p><p><b>What You Need to Be Successful</b></p><ul><li><p>Strong execution mindset with the ability to design, implement, debug, and optimize data systems end‑to‑end</p></li><li><p>Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related field</p></li><li><p>5+ years of hands‑on experience building and operating large‑scale data pipelines and platforms</p></li><li><p>Strong proficiency in Python, PySpark and SQL for data processing and automation</p></li><li><p>Solid experience with cloud‑based data platforms (e.g., AWS S3, Azure, Databricks, object storage, distributed computing)</p></li><li><p>Proven ability to automate repetitive tasks and improve data hygiene</p></li><li><p>Proven experience implementing cost‑saving strategies in data platforms (storage tiering, compute optimization, pipeline tuning)</p></li><li><p>Deep understanding of data modeling, partitioning, indexing, and performance optimization</p></li><li><p>Experience handling large‑volume, high‑frequency or unstructured data (audio, signals, logs, telemetry)</p></li><li><p>Strong knowledge of data governance, and privacy best practices</p></li><li><p>Working knowledge of privacy‑preserving data handling (pseudonymization, anonymization, etc.), data‑quality checks, and data‑lineage tracking.</p></li><li><p>Ability to work independently and collaborate effectively in cross‑functional global teams</p></li><li><p>Strong communication and collaboration skills, with the ability to work effectively in an intercultural and cross‑functional team.</p></li><li><p>Advanced English level</p></li></ul><p></p><p></p><p><b>Bonus Points if You Have </b></p><ul><li><p>Experience working with audio, image or signal processing domains</p></li><li><p>Background working with automotive datasets or connected vehicle data</p></li><li><p>Experience deploying ML models to production (cloud or edge environments).</p></li><li><p>Experience with event-driven architectures (Kafka-like patterns, IoT ingestion patterns).</p></li><li><p>Experience programming with C++ and embedded systems</p></li><li><p>Familiarity with OTA update flows, artifact versioning, and safe rollback mechanisms.</p></li><li><p>Experience building reproducible working‑environment (docker, virtual environments)</p></li><li><p>Experience with privacy-aware designs: PII privacy, tokenization/pseudonymization, retention automation.</p></li></ul><p></p><p><b>What Makes You Eligible</b></p><ul><li><p><span>Ability to work from an office in </span>Queretaro, 3+<span> days per week (hybrid)</span></p></li><li><p>Because the team operates globally, flexibility in working hours is required.</p></li><li><p>Successfully complete a background investigation and drug screen as a condition of employment</p></li></ul><p></p><p><b>What We Offer </b></p><ul><li><p>Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.)</p></li><li><p>Extensive training opportunities through our own HARMAN University</p></li><li><p>Competitive wellness benefits</p></li><li><p>Tuition reimbursement</p></li><li><p>“Be Brilliant” employee recognition and rewards program</p></li></ul><p></p><p>#LI-KV2</p>