Staff Software Engineer, Data

Slickdeals; San Mateo (CA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Competitive base salary and annual bonus

Competitive paid time off

Variety of healthcare insurance plans

401K matching

Professional Development Reimbursement Program

Job summary

Slickdeals is on the hunt for a Staff Software Engineer with deep expertise in Big Data systems. This role will involve architecting scalable data platforms powering analytics and machine learning. The ideal candidate has 10+ years in software engineering and strong proficiency in SQL, Python, and dbt. This position offers a hybrid work model and encompasses responsibilities like maintaining ETL/ELT pipelines and leading cross-functional collaborations. Join us in transforming online shopping!

Qualifications

• 10+ years of experience in software engineering.
• 7+ years of experience in building large scale data solutions.
• Experience with data governance, security, and compliance best practices.

Responsibilities

• Architect, evolve, and maintain core ETL/ELT pipelines.
• Design and optimize semantic models for BI tools.
• Lead cross-functional collaboration with Analytics, Product, and Engineering.

Skills

Strong proficiency in SQL

Python

dbt

Databricks

Airflow

AWS infrastructure

Semantic modeling

Tableau

Education

BS/BA/BE degree in a quantitative area

Tools

AWS (S3, Kafka, EC2, Lambda)

Job description

About Slickdeals: We believe shopping should feel like winning. That’s why 10 million people come to Slickdeals to swap tips, upvote the best finds, and share the thrill of a great deal. Together, our community has saved more than $10 billion over the past 26 years.

We’re profitable, passionate, and in the middle of an exciting evolution—transforming from the internet’s most trusted deal forum into the go-to daily shopping destination. If you thrive in a fast-moving, creative environment where ideas turn into impact fast, you’ll fit right in.

The Purpose

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.

What You'll Do

• 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

What We're Looking For

Skills & Qualifications

• 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

Nice to Have

• 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

With your application, kindly attach a cover letter that outlines your greatest achievement. Please share what you built, how you measured success, and your role in the result.

Please note: We are unable to sponsor visas at this time. Candidates must be authorized to work in the U.S. without current or future visa sponsorship or transfer.

LOCATION: San Mateo, CA or Las Vegas, NV

Hybrid schedule visiting our San Mateo or Las Vegas office three days a week (Tues-Thurs).

Slickdeals Compensation, Benefits, Perks

• 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

Work Authorization

Candidates must be eligible to work in the United States.

Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the "Ban the Box" legislation. We may access publicly available information as part of your application. Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work. Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees.