Senior Data Engineer

Responsibilities

• Build and manage end-to-end data pipelines, including ingestion from APIs/files, transformations, and schema evolution.
• Design semantic models and hybrid search capabilities to enable AI services to reason over research data.
• Own dimensional data modeling, including star schemas, bridge tables, and performance optimization.
• Enforce data governance through access controls, quality monitoring, and compliance with GDPR/CCPA.
• Manage cloud infrastructure, monitoring, SLAs, cost optimization, and CI/CD processes.
• Partner with delivery teams to provide client views, multi-cloud exports, and data for AI tools and dashboards.

Requirements

• 5+ years of data engineering experience with production-scale cloud data warehouses.
• Strong proficiency in modern cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
• Advanced SQL skills and proficiency in Python for orchestration and transformation.
• Experience building event-driven pipelines on major cloud providers (AWS, GCP, or Azure).
• Expertise in dimensional data modeling (star schema, SCD, fact tables).
• Experience with REST API integration and infrastructure-as-code (Terraform, CloudFormation, CDK, or Pulumi).

Preferred Qualifications

• Understanding of how data is structured and served to AI/ML systems.
• Familiarity with dbt or similar transformation frameworks.
• Experience with data quality frameworks like Great Expectations or Monte Carlo.

Benefits

• 100% remote work environment.
• Full-time position with a flexible schedule.
• Attractive USD compensation.
• Paid vacation and holidays.

About the Company

Nitka Technologies develops software for customers in the US and Europe, bringing together a global team of professionals. We build the data foundations that turn fragmented research sources into unified intelligence layers for our clients.