Staff Software Engineer

Slickdeals • San Mateo, CA

1d • Hybrid

About The Position

Slickdeals is seeking a Staff Software Engineer with deep expertise in Big Data platforms/systems to lead and evolve our data engineering ecosystem. This role goes beyond pipeline maintenance; it’s about architecting scalable, resilient platforms that power analytics, experimentation, and machine learning across the business. You’ll inherit a mature platform built over 3+ years, spanning Databricks, dbt, Airflow, AWS, Tableau, and AtScale, and drive its next phase of growth. As a technical leader, you’ll shape architecture, mentor engineers, and ensure our data infrastructure supports analytics, experimentation, and business enablement at scale.

Requirements

• BS/BA/BE degree in a quantitative area such as mathematics, statistics, economics, computer science, engineering, or equivalent experience.
• 10+ years of experience in software engineering
• 7+ years of experience in building large scale data solutions
• Strong proficiency in SQL, Python, and dbt
• Hands-on experience with Databricks, Airflow, and AWS infrastructure
• Strong understanding of semantic modeling
• Experience building dashboards and supporting BI teams using Tableau
• Familiarity with CI/CD pipelines, automated testing, and infrastructure-as-code workflows
• Experience with data governance, security, and compliance best practices
• Deep understanding of SDLC principles and how they apply to data engineering
• Excellent communication and written documentation skills
• Comfortable working in a fast-paced, collaborative environment
• Strategic mindset with a bias for action, always curious and a continuous learner
• Candidates must be eligible to work in the United States.

Nice To Haves

• Experience with cost monitoring tools or FinOps practices
• Experience with Machine Learning and Data Science
• Familiarity with vendor integrations and API-based data sharing
• Exposure to AtScale, Tableau, or other modern data platforms
• Passion for mentoring and knowledge sharing

Responsibilities

• Architect, evolve, and maintain core ETL/ELT pipelines using dbt, Airflow, and Databricks
• Design and optimize semantic models in AtScale to support BI tools like Tableau
• Lead cross-functional collaboration with Analytics, Product, and Engineering to deliver reliable, timely data
• Own observability, performance, and reliability of data workflows across environments
• Guide infrastructure decisions in AWS (S3, Kafka, EC2, Lambda, IAM), balancing scalability and cost
• Drive cost optimization and platform hygiene across data storage, compute, and tooling
• Champion CI/CD practices and automated testing for data pipelines and infrastructure-as-code
• Uphold engineering rigor through SDLC best practices, including version control, peer reviews, and reproducible builds
• Lead documentation efforts, promote reproducibility, and support onboarding for long-term team health
• Facilitate code reviews, lead architecture discussions, championing engineering excellence, and contribute to overall technical strategy
• Mentor engineers and foster a culture of knowledge sharing and continuous learning

Benefits

• Competitive base salary and annual bonus
• Competitive paid time off in addition to holiday time off
• A variety of healthcare insurance plans to give you the best care for your needs
• 401K matching above the industry standard
• Professional Development Reimbursement Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree
• Number of Employees: 11-50 employees