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.

Key Responsibilities

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

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

2+ years of experience in data engineering, SQL development,



or database optimization

Solid 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

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

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

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📌 Data Engineer (Manitoba)
🏢 Fynite
📍 Manitoba