Data Engineer

Job summary

Design, build, and maintain scalable ETL/ELT pipelines and Python-based data workflows for ingestion, transformation, validation, automation, and cross-platform integration. Optimize SQL queries and relational database performance, maintain data integrity and governance, and support enterprise AI and analytics workloads.

Job details

Location: Remote Type: Full-Time Company: Fynite About the Role: 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, advanced SQL optimization, and Python development 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. Key Responsibilities: Data Engineering & Pipelines Design, build, and maintain scalable ETL/ELT pipelines Develop and maintain Python-based scripts and components for data ingestion, transformation, validation, and automation Use Python to process large datasets, integrate APIs and data sources, and troubleshoot complex data issues 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 SQL & Data Platform Optimization 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 Database & Governance 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 Required Skills: 5+ 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 Strong hands-on experience with data pipeline creation and development Strong hands-on Python experience is required Experience using Python for data engineering, ETL/ELT development, data processing, automation, API integrations, and troubleshooting Ability to write clean, maintainable Python code for production data workflows 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 ensuring reliable data integrations across systems Preferred Skills: Experience with cloud databases (AWS RDS, Azure SQL, BigQuery, Redshift) Data warehousing experience (Snowflake, Redshift, BigQuery) Experience with ETL orchestration tools (Airflow, AWS Glue) Experience with AWS, Azure, or GCP Experience supporting AI/analytics workloads AI & Agentic Systems (Strongly Preferred): 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 Hands-on experience building AI agents or agentic workflows is preferred Experience preparing, validating, or optimizing datasets for AI-driven decision systems Exposure to building or supporting data infrastructure powering AI applications Education Bachelor’s or Master’s Degree in Computer Science, Data Science, Mathematics, or related field (Master’s preferred) Why Join Fynite 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

What you’ll do

Design, build, and maintain scalable ETL/ELT pipelines and Python-based data workflows for ingestion, transformation, validation, automation, and cross-platform integration. Optimize SQL queries and relational database performance, maintain data integrity and governance, and support enterprise AI and analytics workloads.

Requirements

Requires 5+ years of data engineering, SQL development, or database optimization experience, with strong SQL and production Python skills. Candidates should have experience building ETL/ELT pipelines, managing relational databases, tuning queries, and supporting large datasets and reliable integrations; cloud, warehousing, and AI/agent experience are preferred.

Listed skills

• SQL · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Engineering
• SQL
• Python
• ETL/ELT Pipelines
• Data Processing
• API Integration
• Query Performance Tuning
• Relational Databases
• Data Governance
• Cloud Data Platforms
• Data Warehousing
• Airflow
• AWS Glue
• AI/ML Data Pipelines
• LLM Systems
• AI Agent Workflows

Job areas

• Data & Analytics
• Technology
• Software
• Engineering