Data Engineer

• Salary: $0 - $72,000 per year
• Location : , US
• Employment option: Remote
• Job type: Full time

Job Summary:

• Seeking a Data Engineer to design and build scalable data pipelines focused on large datasets and high-throughput data streams for a US-based FinTech client.
• Skills

Must Have

Hard skills:

• novice in: Data Quality beginner in: Big Data, Data Pipelines competent in: ETL, Data Engineering, SQL, Pipeline, JAVA
• Nice-to-have

Hard skills:

• novice in: GCP, AI, AWS, Cloud Platforms, Azure beginner in: FinTech, Kafka, Elasticsearch, Real-Time Processing, Cloud Storage, Redis, B2B

Job Description

Additional Requirements

Strong Data Engineering experience, SQL and database knowledge, experience with ETL, batch or streaming processing, programming skills in Java or similar, pipeline design skills, and ability to explain architectural decisions.

Responsibilities

Design and build data pipelines (batch or streaming), process large volumes of data, ensure data validation, deduplication, and consistency, ingest data from files, cloud storage, or streams, prepare data for analytics, make architectural decisions. Benefits

• Work from home

About Company

Company Overview

You will be part of an international engineering team focused on developing a modern, intelligent surveillance platform for financial institutions. The system processes high-frequency market data to identify irregular behavior and ensure regulatory compliance across jurisdictions.

This role offers exposure to complex engineering challenges, financial domain knowledge, and the opportunity to shape a next-generation platform from within a collaborative and technically strong team.

Originally posted on Himalayas