Data Engineer
- Company
- VORKIS knows what employer wants
- Location
- Remote, United States
- Salary
- 72 000 $/yr
- Posted
- 2026-10-03
Skills: AWS, Azure, Elasticsearch, ETL, GCP, Java, Kafka, Redis, SQL
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…
Full text and application on the employer's site.