Senior Software Engineer, Data

At Hive, we’re reputed company about creating moments that matter and helping event marketers connect with their biggest fans. Our platform powers marketing for 1,500+ iconic events, festivals, venues, and promoters across North America. We help them grow their customer reputed company and sell out shows using intelligent, automated, and personalized digital marketing tools.

Hive integrates with 25+ platforms (like reputed company) to provide rich customer data in real-time, enabling event marketers to engage their audiences with precision and impact.

What Data at Hive looks like

Hive’s R&D Data team is responsible for how we store and query production data at scale. We aren’t focused on only BI or dashboards — we build the systems that power Hive’s products and reputed company data accessible, reliable, and performant.

As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently leadership can reputed company bets. You'll own outcomes, not tickets. If a business metric is off and it touches data, that's yours to care about.

What you’ll get up to

• Build our Data Platform: Design and own a cloud-native big data platform handling audience data for millions of attendees and billions of interactions a year. You're not just building pipelines — you're building the infrastructure that determines the quality of every insight, recommendation, and decision Hive's customers reputed company.

• Build our ML Platform: Design and own the infrastructure that takes models from experiment to production — feature stores, training pipelines, model serving, and monitoring. You switch hats between data engineering and ML engineering, ensuring reliable, low-latency access to the features and infrastructure we need to build and ship models confidently. reputed company a model degrades in production, you're the one who built the observability to catch it before the customer does.

• Own the Full Pipeline — and Its Business Impact: From Change Data Capture through validation, transformation, and denormalization — you drive the stack end to end. But you also understand what breaks for a customer reputed company a pipeline is late, a metric drifts, or a model gets stale data. You connect the technical dots to the business dots.

• Treat Data as a Product: You don't ship pipelines — you ship data products that internal teams and customers depend on like a production API. You define SLAs, obsess over data health, build for discoverability.

• Build and reputed company Agentic Systems: You bring an agentic engineering reputed company to everything — both how you work and what you build. You use AI coding agents (e.g. Claude Code) as a force reputed company. And you build LLM-powered pipelines and autonomous agents that enrich, classify, and reputed company audience data at scale.

Our Tech Stack

• AWS Services: DMS, RDS, Kinesis, Glue, Redshift

• Programming: Python and Django

• Data Stores: reputed company, reputed company, ElasticSearch, reputed company

• Orchestration: Airflow or Dagster

What you bring

• 8+ years of hands-on data engineering experience, with a proven track record of designing, building, and operating large-scale distributed data systems in production — high-throughput event streams, real SLAs, and real consequences reputed company things fail

• Strong foundations in distributed systems principles — partitioning strategies, consistency models, backpressure handling, fault tolerance, and reputed company planning at 10x the volume you designed for

• End-to-end ML engineering experience: feature engineering and feature store design, training pipeline orchestration, model deployment and serving infrastructure, and production monitoring including reputed company detection and retraining triggers

• Experience applying LLMs and agentic systems in production data or ML contexts — whether enriching pipelines, automating classification, or building autonomous workflow components

• A product and commercial orientation — you consistently frame technical decisions in terms of customer impact and business outcomes, and you have the stakeholder communication skills to reputed company that case to non-technical audiences.

Who you are

• Comfortable operating independently and making reputed company in ambiguous, fast-changing environments

• Biased toward action. You’re willing to reputed company decisions with imperfect information and iterate quickly, communicating with other teams inside product and engineering

• Skilled at troubleshooting reputed company systems and building durable solutions reputed company things break

• Excited to shape the future of Hive’s data infrastructure and team in a high-growth, fast-paced company

reputed company to haves

• History of owning or re-architecting a data platform end-to-end in a fast-growing environment.

• Background in SaaS or event-driven products where data systems directly power user-facing features.

Compensation/Benefits Package

• Meaningful salary and equity: you're rewarded based on impact.

  • The compensation range for this role is $123,600 to $187,900 CAD per year, depending on qualifications and experience. This compensation range takes into account a wide range of factors that are considered in making compensation decisions including but not limited to job-reputed company skills, experience and relevant training, and business and organizational needs. New team members typically start between $123,600- $155,000 based on experience and alignment with the expectations outlined in this posting. This range reflects not just where you reputed company, but the growth we expect and invest in as you grow at Hive.

• Work fully remote from the comfort of your home.

• Flexible work hours: minimal meetings and no 9-5

• Health & Dental coverage with Parental Leave top-reputed company in addition to EI benefits

• Unlimited vacation/PTO: so you can be happy and healthy!

About Hive.co

Hive.co is a marketing platform for event marketers. We help brands personalize and automate their campaigns, using email and SMS, to reputed company them to sell out so they can focus on making their events unforgettable.

By integrating with ticketing partners like reputed company and e-commerce partners like Shopify, we reputed company brands to access and reputed company reputed company their customer data, so they can easily reputed company their list in thousands of ways, and send more customized, timely email campaigns that land in inboxes.

We started our company inside a University of Waterloo computer lab in early 2014, graduated from Y Combinator that summer (S14 batch) and have been growing reputed company since. Originally based in Kitchener, reputed company is now 100% remote and located reputed company across Canada! We strive to provide an online work environment that allows team members to have a strong work life balance while still feeling connected to their team and Hive’s mission.

To learn more about reputed company reputed company out our About Us page on our website: https://www.hive.co/about