Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
About the role
- Senior Analytics Engineer architecting, building, and operating secure data pipelines in AWS cloud. Leading compliance with data governance standards across analytics integrations.
Responsibilities
- Architect production-grade, fault-tolerant batch and real-time data pipelines within a compliance-governed AWS environment.
- Lead data modeling (dimensional, SCD, data vault) and build API/file-based integrations with encryption and audit logging at every point.
- Build CI/CD pipelines for data infrastructure with mandatory security scanning and approval gates.
- Conduct code reviews, mentor engineers, and produce technical documentation including ADRs, runbooks, and compliance evidence packages.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or related field; 7+ years in Analytics/Data Engineering.
- Expert SQL and Python (PySpark, Pandas, Boto3); deep AWS experience across the data, security, and governance stack.
- Demonstrated experience implementing governance frameworks and regulatory compliance controls (HIPAA, SOC 2, GDPR, CCPA) in production.
- Experience with IaC (CloudFormation, Terraform, CDK), CI/CD for data pipelines, and data security principles.
- AWS certifications (Data Analytics Specialty, Security Specialty, Solutions Architect Professional) preferred.
- Experience with data quality frameworks (Great Expectations, dbt, Monte Carlo), and regulated industries (healthcare, financial services).
Benefits
- bonus
- benefits
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