TL;DR
Hive is recruiting a Staff Software Engineer for its R&D Data Pod to scale production datastores and move the platform toward real-time, event-driven data flows. The Canada-remote, full-time role emphasizes large-scale data systems, CDC/streaming, Python/PySpark, and AWS experience, with a CAD 180,000–225,000 compensation range.
What happened
Hive, a marketing platform for event organizers, has posted a full-time, Canada-remote opening for a Staff Software Engineer focused on data systems. The hire will join Hive’s R&D Data Pod to design and scale production datastores, enable predictable query performance across hundreds of millions of records, and help transition the platform to real-time event-driven pipelines. Responsibilities span the entire data stack — from change data capture through validation, transformation and denormalization — and include building a cloud-native Data/ML platform that can track billions of interactions annually. The role expects technical leadership: mentoring peers, shaping architecture choices, and owning low-disruption data migrations. Hive lists a tech stack centered on AWS (RDS, Kinesis, Glue, Lambda, S3), Python and PySpark, ClickHouse, MongoDB, and Elasticsearch. The posting specifies 8+ years of engineering experience, with at least 5 years focused on data systems.
Why it matters
- A senior hire could accelerate Hive’s shift to real-time, event-driven data flows that underlie its marketing products.
- Scaling queryable production datastores affects reliability and performance for customer-facing segmentation and personalization.
- Expertise in CDC and large-scale pipelines is central to handling the volumes Hive describes — millions of attendees and billions of interactions.
- Strong leadership in data systems can reduce disruption during migrations and support future product and ML development.
Key facts
- Role: Staff Software Engineer, Data Systems — full time, remote (Canada).
- Team: R&D Data Pod — focuses on storage and query infrastructure for production data, not BI dashboards.
- Compensation: CAD 180,000 to 225,000 per year; typical starting offers cited between CAD 180,000–202,500.
- Technical expectations: 8+ years total engineering experience, 5+ years in data systems.
- Primary technologies listed: AWS (RDS, Kinesis, Glue, Lambda, S3), Python, PySpark, ClickHouse, MongoDB, Elasticsearch, Django.
- Key responsibilities: building a cloud-native Data/ML platform, scaling petabyte-class datastores, designing high-volume async event handling, and extending query systems.
- Data work includes CDC (Change Data Capture), validation, transformation, denormalization, and real-time event streams.
- Company footprint: platform supports marketing for 1,500+ events, festivals, venues and integrates with 25+ platforms including Ticketmaster and Shopify.
- Benefits highlighted: fully remote work, flexible hours, health & dental coverage, parental leave top-ups, and unlimited vacation/PTO.
What to watch next
- Progress and timelines for Hive’s migration toward a real-time, event-driven architecture (confirmed in the source).
- Exact hiring timeline and interview process details: not confirmed in the source.
- Whether the hiring scope will expand beyond Canada or open additional remote locations: not confirmed in the source.
Quick glossary
- Change Data Capture (CDC): A technique to identify and track changes in a source database so those changes can be replicated or processed by downstream systems.
- Event-driven architecture: A software design where systems communicate and react to changes via events or messages, often enabling real-time processing.
- ClickHouse: A column-oriented analytical database management system designed for high-performance OLAP queries on large datasets.
- Data pipeline: A sequence of processes that ingest, validate, transform, and load data between systems for storage or analysis.
- PySpark: The Python API for Apache Spark, used to build distributed data processing jobs and pipelines.
Reader FAQ
Where is this job located?
This is a fully remote position based in Canada (confirmed in the source).
What compensation does Hive list for this role?
The posting lists a salary range of CAD 180,000 to CAD 225,000 per year, with typical starting offers between CAD 180,000–202,500 (confirmed in the source).
What experience is required?
Candidates are expected to have 8+ years of professional software engineering experience with at least 5 years focused on data systems (confirmed in the source).
Which technologies should applicants be familiar with?
The listing highlights AWS data services (RDS, Kinesis, Glue, Lambda, S3), Python and PySpark, ClickHouse, MongoDB, and Elasticsearch (confirmed in the source).
How do I apply?
Apply via the job posting on Hive’s careers page or the job listing referenced in the source (confirmed in the source).
Staff Software Engineer, Data Systems Location Canada (Remote) Employment Type Full time Location Type Remote Department Engineering Overview Application At Hive, we’re all about creating moments that matter and helping…
Sources
- Hive (YC S14) Is Hiring a Staff Software Engineer (Data Systems)
- jobs
- Staff Software Engineer, Data Systems at Hive – Remote Job
- Hive
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