Data Engineer

About Paxos 

Today’s financial infrastructure is archaic, expensive, inefficient and risky — supporting a system that leaves out more people than it lets in. So we’re rebuilding it.

We’re on a mission to open the world’s financial system to everyone by enabling the instant movement of any asset, any time, in a trustworthy way. For over a decade, we’ve built blockchain infrastructure that tokenizes, custodies, trades and settles assets for the world’s leading financial institutions, like PayPal, Venmo, Mastercard and Interactive Brokers. 

About the team 

The Data team at Paxos includes Data Infrastructure, Data Engineering and Data Analytics. We focus on use cases ranging from product analytics to business intelligence and operational automation.

Data is the lifeblood of any organization based in financial services. We’re building a data platform that is trusted and reliable, designed to deliver accurate measurement and insights about our products and business. This platform informs our strategy, provides reporting to clients and regulators, enables the automation of operational processes and drive cost savings and revenue opportunities.

Some of the people you would be working closely with are Patrick King, Joeseph Eckert and MC Mundy.

About the role

We’re looking for a Data Engineer who will partner with the rest of the team, stakeholders and our broader engineering team to design, build and scale our quickly expanding analytics platform. You’ll lead the development of efficient and scalable data pipelines and extensible data models to make data at Paxos more accurate, accessible and actionable. You’ll work closely with partners to identify new use-cases for and sources of data to drive decision-making across the organization.Collaborating across disciplines, you’ll identify internal and external data sources to design and implement new data models, table structures, data products, ELT strategies, automation frameworks and scalable data pipelines. You’ll have the opportunity to leverage modern technologies like Snowflake, DBT, Looker, S3, Terraform, Airbyte and Dagster. The team is at a pivotal moment, and this role will help shape its future.

What you’ll do 

• Improve Paxos’s products and decision-making by crafting, growing and optimizing our data and data architecture.
• Partner with engineering, the rest of the data organization and cross-functional partners to understand data needs.
• Design, build and maintain efficient and reliable data pipelines to move data across a number of environments and platforms.
• Ensure data access and segregation aligns with relevant data policies.
• Work with data and cross-functional partners to automate manual ingestion processes and optimize data delivery.
• Educate your partners: Use your data engineering and analytics experience to “see what’s missing”, identifying and addressing gaps in their existing logging and processes.
• Design and implement data unit tests on pipelines, ensuring accurate data reaches end users at all times.
• Build data expertise and own data quality for your areas.
• Become an advocate for data and data tooling within Paxos — make recommendations for new datasets, tools, analyzes to further the data team and Paxos’ missions.

About you 

3+ years of experience with:

• Data Modeling / Data Architecture.
• Cloud-based Big Data/MPP analytics platforms like Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse.
• SQL.
• One of Python, Java, C++, Scala or similar languages.
• Workflow management engines like Dagster, Airflow, Google Cloud Composer, AWS Step Functions, Azure Data Factory or similar.
• Custom ETL/ELT design, implementation and maintenance.
• Data visualization tools like Looker, Metabase, Tableau or similar.

Pay and benefits

Paxos offers a competitive total compensation and benefits package, including equity. Actual salary within that range is dependent upon the individual’s skills, experience and qualifications.

Expected range for the salary component for candidates located within the United States is:$154,000—$181,000 USD