Senior Data Engineer, Ledger Investing

• We’re looking for someone with 5+ years of experience in data engineering or platform engineering with an emphasis working with creating data architectures to collect and analyze diverse datasets (e.g., large and small, structured and unstructured, behavioral and self-reported)
• Hands-on experience with several languages (R, Python, Java, Scala JS, SQL, etc.) not only to manipulate data and draw insights from diverse data sets, but also to integrate models into production services
• History of delivering internal/production data tools for ETL, experimentation, exploration, cleansing, reconciliation
• Working knowledge of OLTP and OLAP databases
• Working knowledge of distributed data/computing tools: Map / Reduce, Hadoop, Spark, etc. and the data formats leveraged principally by these technologies (JSON, Parquet, Avro, Protobuf)
• Your interpersonal skills are exceptional. You have experience leading projects involving cross-functional and cross-cultural teams, fostering relationships across areas of the business that include Marketing, Sales, Product, and Engineering
• Experience mentoring and taking an active part in helping make their peers and team better
• Provides technical advice and weighs in on technical decisions that impact other teams or the company at large. Researches and proposes new technologies
• An effective communicator both verbally and in writing
• Lead by example with a bias for action and set the standard for engineering excellence
• Ability to thrive with a high level of autonomy and responsibility
• BS/BA or greater in Mathematics, Physics, Statistics, Computer Science, Engineering, or another quantitative field

Desirable

• Define and develop the program and architecture for data collection, modeling, feature definition, data validation, model training, and reporting
• Drive the collection of new data and the refinement of existing data sources
• Create pipelines (ingestion, transformation, optimization, implementation, validation, governance)
• Develop processes and tools to monitor, analyze, and train models for performance and data accuracy (supervised/unsupervised training, backtesting)
• Define data schemas and services, focussed on accessibility/use-cases for the consuming client applications
• Work cross-functionally to define problem statements, collect data, build analytical models, and drive business solutions
• Interest and ability in learning new techniques and research on how to apply them into daily work
• Work closely with product, design, and other engineering leaders to make sure we are executing on our product roadmap and building towards our long term goals
• Own effective and timely delivery of projects that contain significant ambiguity, requiring well designed solutions, and are key investments in the overall team roadmap
• Participate in the design review process, seeking and providing constructive criticism
• Participate in recruiting and mentoring great talent
• Be responsible for estimating and managing project timelines and risk