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Data Engineer

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Norm AI

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Location:
United States , New York City

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

200000.00 - 225000.00 USD / Year
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Job Description:

As a Senior Data Engineer at Norm, you will partner closely with our Senior Data Analyst and Director of Data to build the foundational data platform that powers our AI compliance engine and internal analytics capabilities. You will architect, develop, and own the data infrastructure from ingestion to transformation to delivery that enables accurate, compliant, and scalable insights across the company.

Job Responsibility:

  • Build and own end-to-end ETL/ELT and CDC pipelines for both multi-tenant and single-tenant systems
  • Set up, maintain, and evolve data pipelines using orchestration platforms like Airflow
  • Design, operate, and scale our core data platform as usage grows
  • Ship and maintain curated gold-layer datasets with reliable tests and monitoring for freshness and accuracy
  • Ingest and integrate product and third-party data sources to power internal dashboards and platform analytics
  • Assist in establishing data governance practices that meet enterprise security and regulatory compliance requirements

Requirements:

  • 5+ years of experience designing, building, and operating scalable, production-grade ETL/ELT pipelines using frameworks such as Apache Spark or AWS Glue
  • Strong proficiency in Python or a similar backend programming language
  • Hands-on experience developing, scheduling, monitoring, and operating DAGs in Airflow or Dagster
  • Experience running data infrastructure in cloud environments (AWS, GCP) that support data pipelines and analytics workloads
  • Deep understanding of data modeling and the modern data stack, including data warehouses (Snowflake, Redshift), data lakes (Iceberg, Delta Lake), and best practices for schema design and performance tuning
  • Familiarity with data security, privacy, including handling sensitive enterprise data, PII, and compliance-driven pipelines
  • Ability to collaborate effectively with Data Analysts and Product & Engineering teams to translate technical challenges into clear, reliable data solutions

Nice to have:

  • Hands-on experience with dbt, including model development, testing, documentation, and CI/CD workflows
  • Knowledge of infrastructure-as-code (Terraform or similar) for provisioning cloud data environments
  • Experience working in regulated industries (FinTech, RegTech, Healthcare, Legal), with an understanding of compliance, data governance, and controls needed to safely process sensitive or regulated data
  • Startup experience working with rapidly evolving requirements, ambiguous problem spaces, and lean teams
What we offer:
  • Equity compensation
  • 401(k) plan with an employer match
  • Top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans
  • Relocation reimbursement for candidates needing to relocate to NYC
  • Fast-paced learning environment where professional growth is constant

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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