The Staff Software Engineer, Data at Slickdeals leads the design and evolution of our Big Data platforms, architecting scalable ETL and ELT pipelines, semantic modeling, and data infrastructure to support analytics and machine learning. This is a hybrid role based in San Mateo, CA or Las Vegas, NV.
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, and contribute to overall technical strategy
- Mentor engineers and foster a culture of knowledge sharing and continuous learning
Requirements
- BS/BA/BE degree in a quantitative field 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
Technologies
- SQL
- Python
- dbt
- Databricks
- Airflow
- AWS
- Tableau
- AtScale
- S3
- Kafka
- EC2
- Lambda
- IAM
Location and Schedule
Hybrid schedule with on-site work required at either the San Mateo, CA or Las Vegas, NV offices, visiting three days a week (Tuesday through Thursday).
Compensation
The expected base salary range is USD 185,000 to 255,000 per year. Salary is influenced by market location and individual qualifications, and final compensation is discussed during the interview process.
Benefits
- Competitive base salary and annual bonus
- Competitive paid time off in addition to holiday time off
- A variety of healthcare insurance plans
- 401K matching above the industry standard
- Professional Development Reimbursement Program
About Slickdeals
We believe shopping should feel like winning. Ten million people rely on Slickdeals to share tips, upvote the best finds, and celebrate a great deal. Our community has helped save more than $10 billion over 26 years. We are profitable, passionate, and undergoing an evolution from the internet's trusted deal forum into a premier daily shopping destination. If you thrive in a fast-moving, creative environment where ideas turn into impact, you will fit in.
The purpose of this role is to lead and evolve our data engineering ecosystem as a Staff Software Engineer with deep expertise in Big Data platforms. This role goes beyond pipeline maintenance to architect scalable, resilient platforms that power analytics, experimentation, and machine learning. You will inherit a mature platform built over 3+ years across Databricks, dbt, Airflow, AWS, Tableau, and AtScale, and drive its next phase of growth.
Work Authorization and Equal Opportunity
- Candidates must be eligible to work in the United States
- Slickdeals is an Equal Opportunity Employer; employment is based on merit, competence and qualifications and will not be influenced by race, color, religion, gender, national origin, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other protected status
- Slickdeals participates in E-Verify
- Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees
