Data Engineer

Remote Jobs; United States; On-site; USD 65,000 - 79,000; Full time

Benefits offered by this job

Work from home

Job summary

Remote Jobs is seeking a Data Engineer to design and build scalable data pipelines for large datasets and high-throughput data streams for a US-based FinTech client.

Responsibilities include designing batch and streaming pipelines, validating data, and enabling analytics with strong SQL, ETL, and Java skills. This remote role offers work-from-home flexibility and exposure to real-time processing and cloud platforms.

Qualifications

• Experience with Data Quality, ETL, and data pipelines.
• Strong SQL and data modeling knowledge.
• Ability to design scalable batch or streaming pipelines.

Responsibilities

• Design and build data pipelines that process large data volumes.
• Ensure data validation, deduplication and consistency.
• Ingest data from files, cloud storage, or streams and prepare data for analytics.

Skills

Data Quality

Big Data

Data Pipelines

ETL

Data Engineering

SQL

Pipeline

JAVA

Tools

GCP

AWS

Azure

Kafka

Elasticsearch

Cloud Storage

Redis

Job description

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
• beginner in: Data Pipelines
• competent in: ETL
• competent in: Data Engineering
• competent in: SQL
• competent in: Pipeline
• competent in: JAVA

Nice-to-have

Hard skills:

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