Data Engineer

Elliptic; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Elliptic is seeking a Data Engineer to build and optimize data pipelines for large-scale blockchain datasets. You will work with distributed systems, Spark, and Scala to enable data-driven decisions in finance.

You will collaborate with engineers, data scientists, and product teams to ensure reliable, scalable data platforms, focusing on ingestion workflows, performance, and observability across cloud environments. The role involves operating in a fast-paced, data-centric fintech setting.

Qualifications

• Experience in distributed systems and big data frameworks.
• Proficiency with Scala, Spark and cloud technologies.
• Design and maintain distributed data pipelines.

Responsibilities

• Build and optimize data pipelines for large-scale datasets.
• Ensure reliability and scalability of data systems.
• Collaborate with engineers, data scientists and product teams.

Skills

Scala

Spark

Distributed systems

Big data frameworks

Cloud technologies

Job description

Elliptic is focused on transforming blockchain data into actionable insights. The Data Engineer role involves building and optimizing data pipelines for large-scale datasets. Candidates with experience in distributed systems and big data frameworks should apply.

As a Data Engineer at Elliptic, you will develop and maintain distributed data pipelines utilizing Scala, Spark, and cloud technologies. Your work will support the processing of extensive blockchain and off‑chain datasets, which are crucial for enabling data‑driven decisions in finance.

You will collaborate closely with engineers, data scientists, and product teams to ensure the reliability and scalability of data systems. Success in this role means effectively designing data ingestion workflows and enhancing system performance while maintaining a focus on scalability and observability.