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Sr. Data Engineer

sciemo

Salary not specified
Nov 6, 2025
New York, NY, US
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Sciemo builds AI for consumer goods, aiming to help businesses make faster, smarter, and more human decisions across the entire Sales and Operations Planning (S&OP) cycle. The company's platform transforms messy, siloed data into measurable business impact using AI agents. They are looking for a Founding Senior Data Engineer to design and maintain the cloud-native data platform that powers their analytics and ML products.

Requirements

  • AWS Glue, Athena, Redshift, S3, and Lambda (Python)
  • REST, streaming, databases, SaaS data integration
  • dimensional, lakehouse, or graph schemas
  • Apache Airflow, AWS Step Functions
  • dbt or similar
  • DataHub, Amundsen, or OpenMetadata
  • AWS Lake Formation or equivalent

Responsibilities

  • Build scalable, cost‑effective ETL/ELT pipelines with AWS Glue, Athena, Redshift, S3, and Lambda (Python).
  • Integrate data from diverse source systems (REST, streaming, databases, SaaS) and standardize into business‑specific target models (dimensional, lakehouse, or graph schemas).
  • Leverage orchestration frameworks (Apache Airflow, AWS Step Functions) and versioned SQL/Python transformations (dbt or similar) to enable repeatable deployments.
  • Implement data lineage and catalog solutions (DataHub, Amundsen, or OpenMetadata) ensuring end‑to‑end traceability.
  • Enforce data governance and control‑plane policies using AWS Lake Formation or equivalent, aligning with SOC 2, ISO 27001, GDPR, and CCPA requirements.
  • Champion data‑quality SLAs, automated testing, and monitoring (Great Expectations, Monte Carlo, or similar).
  • Partner with ML Engineers and Data Scientists to provision feature stores and training datasets.

Other

  • Proven track record of deploying AI products into customer environment
  • Experience building a customer success team
  • Demonstrated self-motivation, hacking mentality, and creative problem-solving abilities.
  • Experience contributing thought leadership and driving innovation for AI within a customer context.
  • Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.