Software Engineer

Job Description

Job Description

Note : This position is open to remote applicants based in the US only.

Job Title : Software Engineer (Data Platform)

Location : & Remote. United States ONLY.

Employment Type : & Salaried W2 Full-Time.

Salary : $125,000 - $200,000

About the company

We represent a rapidly growing data company in NYC that’s redefining how real-world assets are represented and traded on public blockchains. Their platform serves investors, issuers, and financial institutions by providing reliable analytics, market intelligence, and transparent data on tokenized assets across the globe.

They’re trusted by leading players in finance and blockchain for their accuracy, scale, and forward-thinking approach to digital asset infrastructure. It’s an exciting opportunity to join a team that’s helping shape the future of real-world asset tokenization and build technology that’s changing how the financial world connects.

Responsibilities

Build and scale core data systems and APIs that serve product-level analytics

Collaborate with application engineers to ensure clean data flow between backend systems and end-user features

Develop and optimize data pipelines using PySpark and Databricks

Work closely with the lead data engineer on system architecture and data infrastructure design

Participate in system design discussions focused on scalability, performance, and maintainability

Contribute to the full software development lifecycle, from design through deployment

Support product and engineering teams by turning raw data into usable insights

Ideal Background

4 to 5+ years of software engineering experience, preferably focused on large-scale data systems

Strong proficiency in Python and experience with PySpark

Experience with distributed frameworks such as Apache Spark, Beam, Flink, or Kafka Streams

Proven ability to design, build, and maintain production-grade data pipelines and APIs

Background in computer science, computer engineering, applied mathematics, or a related field (top 50 university or equivalent rigor preferred)

Experience working on data-driven products rather than internal BI or reporting systems

Strong communication skills and the ability to explain technical tradeoffs clearly

High attention to detail, ownership mindset, and a passion for building high-quality systems

Nice to Have

Experience in fintech, blockchain, or other data-intensive environments

Hands-on experience with Databricks or real-time streaming data systems

Demonstrated curiosity and craftsmanship through side projects or open-source work