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Staff Software Engineer, Data

Slickdeals • San Mateo, CA, United States • 15h ago

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:

The expected base pay for this role is between $185,000 - $255,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Exact compensation will be discussed during the interview process and tailored to the candidate's qualifications.

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.

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