DevOps Engineer

Experience: 2–7 Years
Salary Range: $110,000 – $150,000 USD per annum
Location: San Francisco, California, United States
Work Arrangement: 100% Fully Remote
Employment Type: Full-Time

Job Summary

We are seeking a skilled and motivated DevOps Engineer with 2–7 years of professional experience in database management, data modeling, ETL processes, and data quality management.

The ideal candidate will have strong expertise in SQL, data modeling, ETL pipeline development, and data validation. The candidate should be passionate about building reliable, scalable, and efficient data workflows while ensuring data accuracy, consistency, and performance.

This is a fully remote opportunity for candidates currently residing in San Francisco, California, United States.

Key Responsibilities

• Design, develop, and maintain efficient SQL queries, database structures, and data workflows.

• Build, maintain, and optimize ETL pipelines for data extraction, transformation, and loading.

• Develop and maintain scalable data models to support business intelligence and analytical requirements.

• Implement data validation and quality checks to ensure accuracy, consistency, and reliability.

• Identify and troubleshoot data pipeline failures, database performance issues, and data inconsistencies.

• Optimize SQL queries and database operations for improved performance.

• Collaborate with data engineers, software developers, analysts, and business stakeholders.

• Monitor data workflows and ensure reliable data processing.

• Maintain documentation for data models, ETL processes, and data quality standards.

• Support data integration across multiple systems and platforms.

• Participate in code reviews and follow engineering best practices.

• Identify opportunities to automate and improve existing data processes.

Required Technical Skills

• 2–7 years of professional experience in DevOps, Data Engineering, Database Engineering, or related technical roles.

• Strong proficiency in SQL and relational database concepts.

• Hands-on experience with data modeling and database design.

• Practical experience developing and maintaining ETL pipelines.

• Understanding of data extraction, transformation, and loading processes.

• Experience implementing data quality checks and data validation processes.

• Knowledge of database performance optimization and query tuning.

• Understanding of data integration and data processing workflows.

• Familiarity with version control tools such as Git.

• Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

• Experience with databases such as PostgreSQL, MySQL, SQL Server, or similar.

• Familiarity with ETL tools and frameworks.

• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Knowledge of data orchestration tools such as Apache Airflow.

• Familiarity with Python or scripting languages for data automation.

• Understanding of CI/CD concepts and automated deployment workflows.

• Experience working with large datasets and complex data pipelines.

• Familiarity with Agile/Scrum development methodologies.

Compensation & Benefits

• Annual Salary: $110,000 – $150,000 USD.

• Full-time employment opportunity.

• 100% remote work arrangement.

• Opportunities for professional growth and career development.

• Collaborative and flexible remote working environment.

Final compensation will depend on relevant experience, technical expertise, skills, and overall qualifications.

Location & Work Requirements

• This is a 100% fully remote position.

• Candidates must currently reside in San Francisco, California, United States.

• Candidates must be authorized to work in the United States.

• Must be comfortable collaborating with distributed teams during US business hours.

• Strong written and verbal communication skills are required.

What We're Looking For

• A self-motivated professional with strong technical and analytical abilities.

• Ability to work independently in a fully remote environment.

• Strong attention to detail and commitment to data accuracy.

• Excellent troubleshooting and problem-solving skills.

• Ability to collaborate effectively with cross-functional teams.

• Passion for learning new technologies and improving data engineering processes.

• Ability to manage priorities and deliver high-quality work within deadlines.

How to Apply

If you are an experienced DevOps Engineer with strong SQL, data modeling, ETL, and data quality skills and are currently based in San Francisco, California, we would love to hear from you!

Apply today and become part of our engineering team.