Senior Data Engineer, TRM Labs
Data Lakehouse Infrastructure
$190-220k
Digital Asset Compliance & Risk Management
Open for applications
Digital Asset Compliance & Risk Management
201-500 employees
Open for applications
$190-220k
201-500 employees
Company mission
TRM Labs' mission is to blend blockchain data with advanced analytics to help financial institutions and governments fight fraud, money laundering, and financial crime.
Role
Who you are
- 5+ years of experience in data or software engineering, with a focus on distributed data systems and cloud-native architectures
- Proven experience building and scaling data platforms on GCP, including storage, compute, orchestration, and monitoring
- Strong command of one or more query engines such as Trino, Presto, Spark, or Snowflake
- Experience with modern table formats like Apache Hudi, Iceberg, or Delta Lake
- Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL
- Hands-on experience orchestrating workflows with Airflow and building streaming/batch pipelines using GCP-native services
What the job involves
- We are looking for a Senior Data Engineer to help us design, implement, and scale core components of our lakehouse architecture
- You will have ownership over data modeling, ingestion, query performance optimization, and metadata management using cutting-edge tools and frameworks like Apache Spark, Trino, Hudi, Iceberg, and Snowflake
- We’re looking for engineers with deep expertise in at least one area and a solid understanding of the trade-offs among different technologies
- Architect and scale a high-performance data lakehouse on GCP, leveraging technologies like StarRocks, Apache Iceberg, GCS, BigQuery, Dataproc, and Kafka
- Design, build, and optimize distributed query engines such as Trino, Spark, or Snowflake to support complex analytical workloads
- Implement metadata management in open table formats like Iceberg and data discovery frameworks for governance and observability using Iceberg compatible catalogs
- Develop and orchestrate robust ETL/ELT pipelines using Apache Airflow, Spark, and GCP-native tools (e.g., Dataflow, Composer)
- Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement
- 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
- We are always looking for people who can elevate the quality our tech and our execution. If you enjoy a remote-first and async friendly environment to achieve efficacy and efficiency at petabyte scale, our team could be a great pick for you!
- Team members are based in the US across almost all timezones! 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
- 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
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 recently raised a significant amount of capital in a Series B fundraising round. It is planning to use this money to further develop its product and hire additional talent. 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 6 rounds)
Nov 2022
$70m
SERIES B
Dec 2021
$60m
SERIES B
Total funding: $150.1m
Company benefits
- Remote-first work environment, with optional in-person offices
- Regular team off-sites and retreats
- Premium health, dental, and vision insurance
- FSA, HSA, and 401K programs
- Life & disability coverage
- Paid time for vacations, volunteering, sick leave, and generous parental leave
- Fitness, co-working, and home office reimbursements
- Professional learning and development stipends
Company HQ
SoMa, San Francisco, CA
Leadership
Esteban Castaño
(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
(CTO)Former Senior Business Analyst at McKinsey & Company. Former Software Engineer at Amazon Web Services and Opendoor.
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