Staff Software Engineer, TRM Labs
Data Incrementalization
$230-255k
Blockchain investigations & risk management
Job no longer available
Blockchain investigations & risk management
201-500 employees
Job no longer available
$230-255k
201-500 employees
Company mission
To build a safer financial system for billions of people.
Role
Who you are
- Bachelor's degree (or equivalent) in Computer Science or a related field
- 5+ years of experience in building distributed system architecture, with a particular focus on incremental updates from inception to production
- Strong programming skills in Python and SQL
- Deep technical expertise in advanced data structures and algorithms for incremental updating of data stores (e.g., Graphs, Trees, Hash Maps)
- Comprehensive knowledge across all facets of data engineering, including:
- Implementing and managing incremental updates in data stores like BigQuery, Snowflake, RedShift, Athena, Hive, and Postgres
- Orchestrating data pipelines and workflows focused on incremental processing using tools such as Airflow, DBT, Luigi, Azkaban, and Storm
- Developing and optimizing data processing technologies and streaming workflows for incremental updates (e.g., Spark, Kafka, Flink)
- Deploying and monitoring scalable, incremental update systems in public cloud environments (e.g., Docker, Terraform, Kubernetes, Datadog)
- Expertise in loading, querying, and transforming large datasets with a focus on efficiency and incremental growth
What the job involves
- The Data Platform team sits at the core of TRM's products, working with data scientists, engineers, and product managers to build scalable and reliable data infrastructure
- As a Senior or Staff Engineer, you will focus on data incrementalization — the process of efficiently processing, updating, and synchronizing massive datasets as new information becomes available
- This approach ensures that TRM's blockchain intelligence remains timely, accurate, and actionable at petabyte-scale
- You will design and build internal tools that empower Data Scientists and Machine Learning Engineers to transform raw blockchain data into real-time blockchain intelligence, driving innovation and impact across TRM's product offerings
- Design and build our Cloud Data Warehouse with a focus on incremental updates to improve cost efficiency and scalability
- Research innovative methods to incrementally optimize data processing, storage, and retrieval to support efficient data analytics and insights
- Develop and maintain ETL pipelines that transform and incrementally process petabytes of structured and unstructured data to enable data-driven decision-making
- Collaborate with cross-functional teams to design and implement new data models and tools focused on accelerating innovation through incremental updates
- Continuously monitor and optimize the Data Platform's performance, focusing on enhancing cost efficiency, scalability, and reliability
- Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc
- Enable tasks to be faster next time and reducing dependency on a single person
- Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months
- Identify first version, a.k.a., "skateboards" for projects. For instance, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard
- The Data Platform team is the funnel between all of TRM's data world and product world. We care about all layers of stack including petabyte of data stores, pipelines, and processes
- We have quite a big scope as a the team with new and exciting projects every quarter. As a result, we collaborate across the board with most teams at TRM
- We believe in async communication and are also not afraid to jump on a quick huddle if that helps to move things faster. We are both scrappy when the situation demands and also process-oriented when we need to achieve our OKRs
- Our on-call tends to be in EST/PST shift, whatever suits you the best
- We do try to reserve some overlap in the day for meetings. Our north star - no IC spends more than 3-4 hours/week in meetings
Our take
The crypto space has become more mainstream but it is also intensely volatile and poorly regulated, with a high degree of anonymity afforded to its users. As such it has become a major source of financial fraud with $20 billion in crypto stolen in 2022 alone. TRM Lab exists to return trust to the blockchain, helping banks, government agencies and crypto companies detect and combat fraud with its blockchain intelligence solutions.
As the risk of blockchain fraud is only increasing, with the proceeds often being used for organized crime, there are a number of companies working in this space. TRM stands out with the breadth of its crypto asset coverage and the strength of its cross-chain analytics. It has partnered with the FBI and Europol to aid its investigations, and is also used by major crypto companies MoonPay and Binance.
The company has grown its revenue by almost 500% year on year since its founding in 2018, and has raised a significant amount of capital. With the funding its secured, its further developing its product and hiring additional talent. And as businesses and government agencies increasingly come to grips with fraud in the crypto space, TRM is well poised to continue its rapid growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Feb 2026
$70m
SERIES C
Nov 2022
$70m
SERIES B
Total funding: $220.1m
Company benefits
- DIstributed, not distant
- Competitive compensation package
- Paid time off: 25 days of vacation and competitive holistic paid time off plans
- Parental leave & family planning: 18 weeks of paid parental leave (if employed for at least 180 days unless the home state or country required less tenure). For select eligible regions, we also offer fertility treatments via the Carrot platform
- Health coverage: Premium coverage for medical, dental, vision and life insurance
- Company retreats
- Career growth
Company HQ
SoMa, San Francisco, CA
Leadership
Esteban Castaño
(Co-Founder & CEO)Former Business Analyst at McKinsey & Company. Founded the Digital team at Generation, a high growth youth employment program, before launching TRM in 2018.
Rahul Raina
(Co-Founder & CTO)Former Senior Business Analyst at McKinsey & Company. Former Software Engineer at Amazon Web Services and Opendoor.
Share this job