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Jobgether

Jobgether

via Lever.co

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Remote Data Engineering Lead

Anywhere
Full-time
Posted 2/18/2026
Direct Apply
Key Skills:
Data management and architecture
Cloud platforms (Azure, AWS, GCP)
ETL, Data Warehousing, Power BI

Compensation

Salary Range

$120K - 200K a year

Responsibilities

Lead data platform initiatives, design scalable distributed systems, and collaborate on software development lifecycle.

Requirements

8+ years of software engineering, proficiency in Python, experience with distributed systems, Kafka, Spark, Kubernetes, and strong troubleshooting skills.

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Platform Engineer. In this role, you will spearhead critical data platform initiatives with full ownership over the data management lifecycle. This involves everything from data ingestion to processing, storage, and querying, ultimately contributing to enhanced product features for our internal and external customers. Your technical leadership will enable cross-functional collaboration and impact, ensuring our partner's Data Platform vision is realized through scalable and innovative solutions. You will work in a dynamic environment, tackling complex challenges and implementing best practices in data management. \n Accountabilities Define and plan the long-term strategy for the Data Platform. Design and develop scalable distributed systems for data management. Address fault-tolerance and high availability issues in data ingestion. Improve and add features to the ETL framework while maintaining SLAs. Collaborate with engineers to deliver cross-functional features. Participate in all phases of the software development life cycle. Requirements 8+ years of hands-on software engineering experience. Backend programming skills, proficient in Python. Strong fundamentals in data structures, algorithms, and distributed systems. Experience in designing highly scalable software systems. Familiarity with technologies such as Apache Kafka, Apache Spark, Airflow, Kubernetes. Excellent troubleshooting skills with a record of implementing creative solutions. Hands-on experience with Docker and Kubernetes. Bachelor's in Computer Science or a related field; Master's preferred. Excellent verbal and written communication skills. Benefits Competitive salary based on experience and location. Health, pharmacy, optical, and dental care benefits. Paid time off and sick leave. Short-term and long-term disability coverage. Life insurance and 401k contribution. Flexible working hours with remote options. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

This job posting was last updated on 2/19/2026

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