Data Engineer

Fynite is looking for a Data Engineer to design and scale data pipelines that power enterprise AI systems and high-performance analytics workloads.

This role combines data pipeline engineering, cloud data platforms, and advanced SQL optimization to ensure reliability, scalability, and performance across large production datasets.

You will work at the intersection of data infrastructure, ETL systems, and performance engineering to support business-critical and AI-driven workflows.

• Design, build, and maintain scalable ETL/ELT pipelines
• Validate, transform, and troubleshoot data flows across systems
• Ensure seamless data integrations and cross-platform data movement
• Collaborate with engineering and product teams to translate business requirements into scalable data solutions

• Design and optimize complex SQL queries for analytics and operational use cases
• Work with large-scale datasets and high-volume production workloads
• Analyze query execution plans and improve performance using indexing, partitioning, and schema optimization
• Monitor and fine-tune database performance to ensure efficiency and scalability

• Manage relational databases ensuring data integrity, accuracy, and availability
• Develop and maintain database objects (stored procedures, views, functions)
• Implement data governance standards and ensure compliance with company policies

• 2+ years of experience in data engineering, SQL development, or database optimization
• Strong proficiency in SQL (joins, CTEs, window functions, subqueries)
• Experience building and supporting ETL/ELT pipelines
• Experience working with large datasets and high-volume production workloads
• Strong knowledge of query performance tuning and execution plan analysis
• Experience managing relational databases in production environments

• Experience with cloud databases (AWS RDS, Azure SQL, Big Query, Redshift)
• Data warehousing experience (Snowflake, Redshift, Big Query)
• Experience with ETL orchestration tools (Airflow, AWS Glue)
• Experience with AWS, Azure, or GCP
• Experience supporting AI/analytics workloads

• Experience working with AI/ML data pipelines
• Familiarity with LLM-based systems (OpenAI, Gemini, Bedrock, etc.)
• Understanding of AI agents, autonomous workflows, or agent orchestration frameworks
• Experience preparing, validating, or optimizing datasets for AI-driven decision systems
• Exposure to building or supporting data infrastructure powering AI applications

Bachelor’s or Master’s Degree in Computer Science, Data Science, Mathematics, or related field (Master’s preferred)

• Build data systems that power real AI agents running enterprise workflows
• Work on a platform combining data, intelligence, and execution end-to-end
• High-impact role in a fast-scaling AI automation company