Data Management and Analytics Engineer

Join our dynamic team as a Data Management and Analytics Engineer and drive the future of data-driven solutions. You’ll work with modern cloud data platforms, engineer robust data pipelines, and collaborate with analytics and AI teams to shape innovative business outcomes. This is a remote, contract-to-hire opportunity designed for experienced professionals seeking impactful projects and growth in a collaborative environment., Architect, build, and optimize scalable data pipelines using SQL, Python, ETL/ELT frameworks.

• Develop and maintain data solutions on Snowflake and leading cloud platforms.
• Implement data modeling, ensure high data quality, and manage metadata and data lineage.
• Integrate data sources via APIs and support both batch and real-time data processing.
• Utilize Git, CI/CD pipelines, and automated testing for seamless deployment.
• Collaborate with analytics, data governance, and AI teams to deliver trusted and actionable data solutions.

5-8+ years in data engineering, cloud data platforms, and enterprise data integration.

• Advanced proficiency in SQL, Python, ETL/ELT, and data modeling.
• Hands-on experience with Snowflake or similar cloud data platforms.
• Strong focus on data quality, metadata management, and data lineage.
• Practical knowledge of Git, CI/CD, and REST APIs.

Preferred Skills

• Familiarity with Kafka, Change Data Capture (CDC), dbt, Collibra, Ataccama, Power BI, AWS, OpenShift, and Kubernetes.
• Exposure to GenAI, Agentic AI, Retrieval-Augmented Generation (RAG), knowledge graphs, ontologies, and semantic models., Word

100% remote work flexibility

• Contract-to-hire growth opportunity
• Collaborative, innovation-focused work environment
• Opportunity to work on cutting-edge analytics and AI initiatives