Senior Software Engineer, Data Product

Senior Software Engineer, Data Product - Canada

Location:

Remote

Employment Type:

Full time

Department:
Build a Safer World.

TRM Labs provides AI‑powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure.

The Data Product team collaborates with an experienced group of data scientists, engineers, and product managers to build highly scalable features that power TRM's products and services. As a Senior Data Engineer on the Data Product team, you will be responsible for designing and building mission‑critical data services. These features analyze and provide insights into blockchain transaction activity at petabyte scale and ultimately work to build a safer financial system for billions of people.

The impact you’ll have here:

• Build highly scalable features that integrate with dozens of blockchains.
• Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
• Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.
• Work closely with product managers, data scientists, and customer-facing teams to deeply understand user needs and translate them into scalable data solutions.

Our best engineers are also exceptional communicators. They write clear design docs, proactively share tradeoffs, and build alignment across disciplines.

Bonus: Experience with LLMs or AI‑powered workflows (e.g., prompt engineering, internal tooling, semantic search).

What we’re looking for:

Bachelor’s degree (or equivalent) in Computer Science or a related field.

A proven track record, with 5+ years of hands‑on experience in architecting scalable API development, distributed system architecture, and guiding projects from ideation through to successful production deployment.

Exceptional programming skills in Python, as well as adeptness in SQL or Spark

SQL.

Versatility across the data engineering spectrum, including:

• In‑depth experience with data stores such as Big Query and Postgres.
• Ownership of 0–1 systems: building pipelines, data platforms, or ML/BI workflows from scratch.
• Skills in writing and communicating technical decisions clearly to both technical and non‑technical stakeholders.
• Designing for performance, scale, and efficiency.
• Mentoring engineers or analysts and enjoying leveling up those around you.
• Proficiency in data pipeline and workflow orchestration tools like Airflow and DBT.
• Expertise in data processing technologies and streaming workflows including Dataflow, Spark, Kafka, and Flink.
• Competence in deploying and monitoring infrastructure within public cloud platforms, using Docker, Terraform, Kubernetes, and Datadog.
• Proven ability in loading, querying, and transforming extensive datasets.

About the Team:

Our team is spread out over several countries and time zones. We have a culture grounded in trust, transparency, and adaptability. We communicate openly, check in regularly, and collaborate seamlessly to deliver results at TRM speed.

We are driven by a deep sense of ownership, continuous improvement, and a passion for delivering magical experiences to our customers.

Learn about TRM Speed in this position:

Examples of rapid delivery: a two‑week implementation of a framework to enable running balance for assets tied to an address on the BTC chain, a quick turnaround on a feature for gathering user feedback, and a solution for revealing indirect exposure through cross‑chain swaps—all delivered on tight timelines.

About TRM's Engineering Levels:

Engineer: Helps define milestones, executes small decisions independently, mentors juniors.

Senior Engineer: Designs and documents system improvements, mentors team members.

Staff Engineer: Drives scope and execution of multi‑team OKRs, partners with stakeholders, ensures system health.

Compensation:

The estimated base salary range for this role is…