What You’ll Do

End-to-End Engineering

• Build scalable, high-performance backend systems using Java, leveraging concurrent and distributed architectures
• Design and implement robust, distributed data pipelines using Spark, Databricks, Kafka, and Apache Iceberg
• Develop and maintain microservices that interact with both streaming and batch data sources
• Integrate complex data systems using ETL/ELT processes, Spring Expressions, and custom APIs
• Optimize and manage datasets using Parquet, Hadoop, and modern query layers like Dremio
• Collaborate with frontend teams to support integration of React-based user interfaces with backend APIs
• Modernize and migrate legacy systems to cloud-native infrastructure

Technical Leadership

• Guide architectural decisions involving data workflows, storage formats, and service patterns
• Break down complex, cross-cutting tasks into structured delivery plans
• Mentor junior and mid-level engineers on data engineering best practices, from streaming to transformation layers
• Review and document architecture choices and technical designs for transparency and alignment

Client & Project Exposure

• Rotate across engagements (every 6–12 months) involving large-scale data and infrastructure challenges, often in banking, financial services, and regulated environments
• Lead technical execution across greenfield builds, real-time analytics platforms, and high-throughput systems
• Act as a hands-on engineering partner to client teams, building long-term technical trust and delivering meaningful impact

What You Bring

Must-Have Experience

• 8+ years of extensive software/data engineering experience in production environments
• Advanced expertise in Java or Python, including performance optimization, concurrency, and service-oriented architecture
• Deep experience building scalable data pipelines with tools like Spark, Kafka, Databricks, and Iceberg
• Strong working knowledge of RDBMS and SQL, plus hands-on experience with Parquet and big data file formats
• Familiarity with Hadoop-based ecosystems, large-scale data processing, and modern orchestration practices
• Hands-on experience with cloud platforms like AWS or Azure
• Experience integrating backend services with React-based frontends (bonus if full-stack)
• Solid understanding of CI/CD workflows, API design, and cloud infrastructure fundamentals

Bonus Points For

• Exposure to LLM/AI-based data transformation tools
• Prior experience with Java and Python in mixed-language environments
• Experience with Dremio or similar data lake query engines
• Experience working in highly regulated industries, especially finance or insurance
• Ability to operate in hybrid/in-person environments and lead small technical teams

Why You’ll Love This Role

• Growth-First Culture - From custom career paths to project rotation, we design roles around your goals, not just business needs.
• Full Ownership & Impact - You’ll own critical parts of delivery, architecture, and technical decision-making. No red tape, no silos.
• Tight-Knit Team - We’ve built a culture of trust, collaboration, and curiosity. Whether it’s team lunches, hack days, or a new internal tool, we move as one unit.
• Real Work, Real Users - We’re not building MVPs that sit on a shelf. You’ll work on systems that millions rely on, every day.
• Flexibility with Structure - We’re a hybrid-first team with a strong appreciation for in-office collaboration, especially at our downtown Toronto HQ. We encourage in-person presence to foster mentorship, connection, and collaboration.

What You’ll Do

End-to-End Engineering

• Build scalable, high-performance backend systems using Java, leveraging concurrent and distributed architectures
• Design and implement robust, distributed data pipelines using Spark, Databricks, Kafka, and Apache Iceberg
• Develop and maintain microservices that interact with both streaming and batch data sources
• Integrate complex data systems using ETL/ELT processes, Spring Expressions, and custom APIs
• Optimize and manage datasets using Parquet, Hadoop, and modern query layers like Dremio
• Collaborate with frontend teams to support integration of React-based user interfaces with backend APIs
• Modernize and migrate legacy systems to cloud-native infrastructure

Technical Leadership

• Guide architectural decisions involving data workflows, storage formats, and service patterns
• Break down complex, cross-cutting tasks into structured delivery plans
• Mentor junior and mid-level engineers on data engineering best practices, from streaming to transformation layers
• Review and document architecture choices and technical designs for transparency and alignment

Client & Project Exposure

• Rotate across engagements (every 6–12 months) involving large-scale data and infrastructure challenges, often in banking, financial services, and regulated environments
• Lead technical execution across greenfield builds, real-time analytics platforms, and high-throughput systems
• Act as a hands-on engineering partner to client teams, building long-term technical trust and delivering meaningful impact

What You Bring

Must-Have Experience

• 8+ years of extensive software/data engineering experience in production environments
• Advanced expertise in Java or Python, including performance optimization, concurrency, and service-oriented architecture
• Deep experience building scalable data pipelines with tools like Spark, Kafka, Databricks, and Iceberg
• Strong working knowledge of RDBMS and SQL, plus hands-on experience with Parquet and big data file formats
• Familiarity with Hadoop-based ecosystems, large-scale data processing, and modern orchestration practices
• Hands-on experience with cloud platforms like AWS or Azure
• Experience integrating backend services with React-based frontends (bonus if full-stack)
• Solid understanding of CI/CD workflows, API design, and cloud infrastructure fundamentals

Bonus Points For

• Exposure to LLM/AI-based data transformation tools
• Prior experience with Java and Python in mixed-language environments
• Experience with Dremio or similar data lake query engines
• Experience working in highly regulated industries, especially finance or insurance
• Ability to operate in hybrid/in-person environments and lead small technical teams

Why You’ll Love This Role

• Growth-First Culture - From custom career paths to project rotation, we design roles around your goals, not just business needs.
• Full Ownership & Impact - You’ll own critical parts of delivery, architecture, and technical decision-making. No red tape, no silos.
• Tight-Knit Team - We’ve built a culture of trust, collaboration, and curiosity. Whether it’s team lunches, hack days, or a new internal tool, we move as one unit.
• Real Work, Real Users - We’re not building MVPs that sit on a shelf. You’ll work on systems that millions rely on, every day.
• Flexibility with Structure - We’re a hybrid-first team with a strong appreciation for in-office collaboration, especially at our downtown Toronto HQ. We encourage in-person presence to foster mentorship, connection, and collaboration.