Senior Data Engineer (Remote)

Overview

Remote

$55 - $60

Full Time

No Travel Required

Skills

Continuous Delivery

Apache Kafka

Apache Spark

Cloud Computing

Collaboration

Continuous Integration

Amazon Kinesis

Amazon Redshift

Amazon Web Services

Extract

Transform

Load

Data Quality

Data Warehouse

Decision-making

Docker

ELT

Apache Hadoop

Big Data

Data Governance

Data Modeling

Real-time

Regulatory Compliance

Kubernetes

Management

Mentorship

Microsoft Azure

Orchestration

Data Processing

Git

Good Clinical Practice

Google Cloud Platform

Java

Unstructured Data

Version Control

Workflow

Python

SQL

Scala

Scalability

Snow Flake Schema

Streaming

Virtual Team

Job Details

Job Title: Senior Data Engineer (Remote)
Location: Remote
Experience Required: 5+ years

Visa: OPT

About the Role

We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and infrastructure. You will play a key role in enabling data-driven decision-making across the organization by ensuring high-quality, reliable, and accessible data. This is a fully remote role, offering flexibility and the opportunity to work with a distributed team.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Build and manage data warehouses, data lakes, and real-time data processing systems.
Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.
Optimize data workflows for performance, cost efficiency, and scalability.
Ensure data quality, security, and compliance with best practices and regulations.
Implement monitoring, alerting, and logging for data pipelines.
Mentor junior engineers and contribute to engineering best practices.

Required Qualifications

5+ years of professional experience as a Data Engineer or in a similar role.
Strong expertise in SQL and data modeling.
Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Proficiency with big data technologies (Spark, Hadoop, Kafka, etc.).
Solid understanding of data warehousing concepts (e.g., Snowflake, Redshift, BigQuery).
Strong programming skills in Python, Scala, or Java.
Experience with workflow orchestration tools (Airflow, Dagster, Prefect).
Knowledge of CI/CD and version control (Git).

Preferred Skills

Experience with real-time streaming solutions (e.g., Kafka, Kinesis, Pub/Sub).
Familiarity with containerization (Docker, Kubernetes).
Exposure to data governance and security best practices.
Previous experience working in a fully remote, distributed team environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.