Senior Data Engineer

Nitka Technologies • ,

8d • Remote

About The Position

Nitka Technologies is seeking a Senior Data Engineer for a long-term project to manage the end-to-end data platform, including ingestion pipelines, transformation layers, semantic modeling, and data governance. The role involves building the data foundation for AI services that process structured and unstructured research data, transforming fragmented sources into a unified intelligence layer. The client is a US-based company focused on intelligent business growth through a combination of consumer research, brand marketing, product design, and digital engineering to foster profitable customer relationships.

Requirements

• 5+ years of data engineering experience with production-scale cloud data warehouses.
• Strong proficiency in a modern cloud data warehouse (Snowflake, BigQuery, Redshift, or Databricks).
• Advanced SQL.
• Experience building event-driven pipelines on a major cloud provider (AWS Lambda/Step Functions, GCP Cloud Functions, or Azure Functions).
• Experience with dimensional data modeling (star schema, slowly changing dimensions, fact tables) and governed transformation layers.
• Familiarity with REST API integration.
• Proficiency in Python for pipeline orchestration, data transformation, and cloud SDK usage.
• Comfortable with infrastructure-as-code (Terraform, CloudFormation, CDK, or Pulumi).

Nice To Haves

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

Responsibilities

• Build and manage data pipelines: ingestion from APIs/files, transformations across layers, schema evolution, and collectors from 10+ external sources.
• Design semantic models and hybrid search for AI; own star schema with bridge tables and performance optimization.
• Enforce governance: access controls, licensing registry, quality monitoring, and retention for GDPR/CCPA.
• Manage cloud infrastructure, monitoring, SLAs, cost optimization, and CI/CD.
• Deliver client views, multi-cloud exports, and partner with delivery teams for dashboards and AI tools.

Benefits

• 100% remote work
• Full-time work
• Flexible schedule
• Attractive USD compensation
• Paid vacation
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed