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# Staff Engineer, Data (Remote, US)

- **Company:** REMOTE HAND
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,000 - $220,000
- **Contract:** Permanent contract
- **Skills:** Databases, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Systems, Database Design, Fault Tolerance, Python (Programming Language), PostgreSQL, Machine Learning, Performance Tuning, Query Optimization, Software Engineering, SQL Databases, Data Streaming, Reliability of Systems, Data Lakes, Infrastructure Automation Frameworks, Information Technology, Terraform, Data Pipelines, Amazon Redshift
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/ptholvrawp

## About the Role

* 10+ years of software and data engineering experience with architectural leadership.
 * Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent.
 * Experience building and operating high-volume batch and streaming data architectures.
 * Expertise in scalable data lake architectures and managing device telemetry data.
 * Proficiency in database design, performance tuning, and query optimization.
 * Strong skills in Python, SQL, CI/CD, and Infrastructure as Code tools like Terraform.
 * Analytical problem-solving skills and ability to mentor and align teams.

## Description

The STAFF DATA ENGINEER role is pivotal in shaping the organization's data platform strategy and infrastructure. This position is responsible for designing and implementing scalable, fault-tolerant data pipelines and a data lakehouse ecosystem that support analytics, operational insights, and machine learning. The role contributes significant technical leadership by mentoring engineers and influencing engineering practices to enhance data architecture and system reliability., * Define and implement long-term data architecture vision and standards.

 * Lead design and deployment of fault-tolerant batch and real-time streaming data infrastructure.
 * Collaborate with application and analytics teams to align data architecture and delivery.
 * Architect and optimize database systems including PostgreSQL Aurora and AWS Redshift.
 * Establish technical standards for data pipelines, monitoring, and data quality.
 * Participate in infrastructure management and on-call support.
 * Mentor data engineers and promote best practices and architectural reviews.
 * Evaluate and integrate modern data technologies and frameworks.