Senior Data Engineer

the team to ensure high-quality, auto-validated, and well-documented code delivery. We are excited if you have (Required Experience): 5+ years of experience as a Data Engineer. Proven experience with AI-first approaches and "Vibe Coding," with a demonstrated ability to deliver production-ready data pipelines using AI orchestration rather than purely manual coding. Deep proficiency with AI-assisted coding tools, including Cursor, GitHub Copilot, or Gemini, to modernize and accelerate engineering workflows. Solid skills in System Design for diverse data architectures, including expert-level knowledge of batch processing and real-time/streaming processing. Proficient in coding with Python (primary) and SQL, with experience in ETL and data processing. Hands-on experience with Distributed Systems and Big Data technologies, including Spark and the Hadoop ecosystem (Hive, Impala, Kafka). Proven proficiency in Data Modeling using industry best practices (e.g., Kimball, Inmon) to ensure data integrity. Ability to monitor critical data pipelines for quality and resolve any issues effectively. Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field or equivalent experience. Strong communication skills, both written and verbal. You may also have: Experience supporting GenAI applications from the Data Engineering side, including managing vector databases, RAG (Retrieval-Augmented Generation) pipelines, or LLM data orchestration. Experience with Apache Airflow or Apache NiFi. Expertise in optimizing data storage using HDFS/Parquet/Avro, Kudu, or HBase. What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive

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