Staff Software Engineer, Stats & Analytics - Data Platform

StackAdapt; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading technology company is seeking a Staff/Senior Software Engineer for its Stats & Analytics Data Platform team. The role involves designing scalable data pipelines and optimizing data storage systems. Candidates should have experience with data engineering and distributed systems at scale, including tools like Snowflake and Spark. The company supports remote work across the U.S. and Canada and offers a competitive salary with great benefits including health care and personal development initiatives.

Benefits

Highly competitive salary

401K/Pension Savings

Competitive Paid time off

Comprehensive mental health care program

Health benefits from day one

Work from home reimbursements

Global WeWork membership option

Robust training and onboarding program

Support for personal development initiatives

Access to programmatic courses and certifications

Awesome parental leave program

Friendly and supportive culture

Social and team events

Qualifications

• Strong background in software engineering and data engineering.
• Hands-on experience with modern data warehouses and compute/storage technologies.
• Experience designing and building ETL pipelines and real-time streaming processes.

Responsibilities

• Design and build scalable data pipelines and streaming processes.
• Implement and optimize data storage systems with a focus on reliability.
• Collaborate with engineers and data scientists to align platform capabilities.

Skills

Software engineering

Data engineering

Distributed systems

ETL pipelines

Problem-solving

Collaboration

Tools

Snowflake

Spark

Kafka

Airflow

Job description

Staff/Senior Software Engineer, Stats & Analytics - Data Platform

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

We’re seeking a Staff and Senior Engineer to join our Stats & Analytics Data Platform team — the group responsible for building and operating the infrastructure that powers data at scale across StackAdapt. Our systems process terabytes of data daily, serving both real-time and batch use cases. The data platform ensures that data is fresh, accurate, and cost‑efficient so that analytics, machine learning, and product teams can rely on trustworthy, governed datasets.

This role is open at both the Staff and Senior levels, with scope and expectations aligned to experience and impact.

StackAdapt is a Remote First company, and we are open to candidates located anywhere in the United States or Canada.

What You'll Be Doing:

• Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning.
• Implement and optimize data storage systems (warehouses, lakes, analytical databases) with a focus on reliability, lineage, and governance.
• Develop tools and frameworks to support data orchestration, ETL workflows, and big data processing.
• Collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs.
• Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments.
• Contribute to technical discussions, code reviews, and system design sessions.
• Take ownership of features and projects, driving them from concept to production.

What You'll Bring to the Table

• Strong background in software engineering, data engineering and distributed systems, ideally at scale (terabytes+).
• Hands‑on experience with modern data warehouses, lakes, and compute/storage technologies (e.g., Snowflake, Pinot, TiDB, Spark, Airflow, Kafka, Trino/Presto).
• Experience designing and building robust ETL pipelines and real‑time streaming processes.
• Solid understanding of data governance, lineage, and cost optimization in cloud environments.
• Ability to write clean, maintainable, and performant code in production systems.
• Strong problem‑solving skills and ability to collaborate across teams.

Impact of the role: As a Staff or Senior Engineer on the Data Platform team, you’ll help shape the backbone of StackAdapt’s data ecosystem. The reliability and scalability of the systems you build will directly influence how quickly and confidently teams across the company can innovate using data.

StackAdapter's Enjoy:

• Highly competitive salary
• Retirement/ 401K/ Pension Savings globally
• Competitive Paid time off packages including birthday's off!
• Access to a comprehensive mental health care program
• Health benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, books etc)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• An awesome parental leave program
• A friendly, welcoming, and supportive culture
• Our social and team events!

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

About StackAdapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation.