Data Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. 

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. 

Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. 

We’ve been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years.

• 3x AWS AI/ML award wins.

• 3x NVIDIA Partner of the Year titles.

• 2x Snowflake Partner of the Year awards.

• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.

• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.

• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. 

Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Role:  Data Engineer

Experience Level: 10+ years experience

Work Location: Canada (Remote)

Role Overview:

We are seeking an accomplished Data Engineer to drive best-in-class data engineering practices by designing, building, and operating production-grade batch and real-time streaming pipelines at scale. This is a hands-on technical leadership role where you will elevate engineering excellence across teams, mentor engineers, and deliver business-critical data solutions in complex, evolving environments.

You will play a key role in enhancing and modernizing existing data platforms, advancing event-driven and cloud-native architectures, and ensuring data reliability, quality, and observability across the ecosystem—while navigating ambiguity and driving outcomes.

Key Responsibilities:

• Lead the design, development, and optimization of highly scalable, low-latency streaming and batch data pipelines.

• Engineer real-time data solutions using technologies such as Apache Kafka, Apache Flink, and Spark Streaming.

• Collaborate closely with product, analytics, AI/ML, and platform teams to ensure data is treated as a first-class, strategic asset.

• Drive platform modernization initiatives, including the adoption of event-driven architectures, cloud-native services, and streaming-first design patterns.

• Establish and enforce best practices for data governance, security, performance tuning, and operational reliability across batch and streaming workloads.

• Embed data quality by design through:

• Schema contracts and backward-compatible schema evolution

• Automated transformation testing and data assertions

• Freshness, completeness, and accuracy checks across pipelines prior to production deployment

• Implement end-to-end observability for data pipelines by:

• Defining and instrumenting metrics, logs, and distributed traces

• Establishing SLAs/SLOs for latency, throughput, and availability

• Enabling proactive alerting, dashboards, and rapid incident response

• Act as a technical mentor and role model by conducting design reviews, code reviews, and fostering a culture of continuous improvement and engineering excellence.

Basic Qualifications:

• 10+ years of professional experience in software or data engineering, with 4+ years focused on streaming and real-time data systems

• Demonstrated success driving technical direction and mentoring engineers while remaining a hands-on contributor

• Deep expertise in streaming technologies such as Apache Kafka, Flink, and Spark Streaming

• Strong foundation in event-driven architectures, distributed systems, and resilient low-latency pipelines

• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads

• Proven experience implementing data quality frameworks and CI/CD integrations, including schema management and automated testing (e.g., dbt, Great Expectations)

• Operational excellence in observability, including metrics, logging, tracing, dashboards, and alerting for data pipelines

• Solid understanding of data governance, performance optimization, and scalability across batch and streaming environments

• Experience with Lakehouse architectures and platforms, including Databricks, Azure ADLS Gen2, and Apache Hudi

Other Qualifications (OQs):

• Strong collaboration and communication skills with the ability to influence stakeholders and evangelize modern data practices

• Analytical, structured problem-solving mindset with a bias for action

• Ability to learn quickly and adapt to new tools, technologies, and evolving architectures

• Self-starter who thrives in ambiguous environments and collaborates effectively across teams

• Excellent organizational and critical-thinking skills

• Comfortable leveraging AI-assisted development tools to improve productivity and engineering outcomes

What’s in it for YOU at Quantiphi:

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.

• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.

• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.

• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.