Data Engineer (AI -focused)
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We work with teams building data foundations for AI—and we’re looking to connect with Data Engineers who can structure, move, and scale data for intelligent systems. <\/span>
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If you’re passionate about clean pipelines and powering AI with the right data—we’d love to hear from you. <\/span>
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Responsibilities <\/span>
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Build and maintain scalable data pipelines for AI/ML use cases <\/span>
<\/p><\/li>Design data architectures for structured and unstructured data <\/span>
<\/p><\/li>Prepare datasets for training, fine -tuning, and inference <\/span>
<\/p><\/li>Ensure data quality, reliability, and governance <\/span>
<\/p><\/li>Collaborate with ML and AI teams on data needs <\/span>
<\/p><\/li><\/ul>Qualifications <\/span>
<\/p>2–5+ years of experience in data engineering <\/span>
<\/p><\/li>Strong SQL and Python skills <\/span>
<\/p><\/li>Experience with ETL/ELT pipelines and big data tools <\/span>
<\/p><\/li>Familiarity with data requirements for ML/AI systems <\/span>
<\/p><\/li>Strong problem -solving and system design skills <\/span>
<\/p><\/li><\/ul>Experience with: <\/span>
<\/p>Airflow / dbt / Spark <\/span>
<\/p><\/li>Data warehouses (Snowflake, BigQuery, Redshift)<\/span>
<\/p><\/li>Streaming tools (Kafka, Pub/Sub)<\/span>
<\/p><\/li><\/ul><\/span>
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