Senior Data EngineerLaunch Potato • Riverside, California, USA

Senior Data Engineer

Launch Potato • Riverside, California, USA

[job_card.variable_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

WHO ARE WE

Launch Potato is a profitable digital media company that reaches over 30M monthly visitors through brands such as FinanceBuzz All About Cookies and OnlyInYourState.

As The Discovery and Conversion Company our mission is to connect consumers with the worlds leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries weve built a high-growth high-performance culture where speed ownership and measurable impact drive success.

WHY JOIN US

At Launch Potato youll accelerate your career by owning outcomes moving fast and driving impact with a global team of high-performers.

BASE SALARY : $150000 to $190000 per year

MUST HAVE :

5 years of experience in data engineering within fast-paced cloud-native environments
Deep expertise in Python SQL Docker and AWS (S3 Glue Kinesis Athena / Presto)
Experience building and managing scalable ETL pipelines and data lake infrastructure
Familiarity with distributed systems Spark and data quality best practices
Strong cross-functional collaboration skills to support BI analytics and engineering teams

EXPERIENCE : 5 years of data engineering experience in an AWS-based environment where data powers decision-making across product marketing and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable timely and actionable data ensuring Launch Potatos analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

Build and optimize scalable efficient ETL and data lake processes that proactively catch issues before they impact the business

Own the ingestion modeling and transformation of structured and unstructured data to support reporting and analysis across all business units

Partner closely with BI and Analytics to deliver clean query-ready datasets that improve user acquisition engagement and revenue growth

Maintain and enhance database monitoring anomaly detection and quality assurance workflows

Serve as the internal point of contact for reporting infrastructuredelivering ad hoc data analyses and driving consistent data integrity

Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support

Contribute to the future of Launch Potatos data team by mentoring peers and shaping a high-performance quality-first engineering culture

COMPETENCIES

Data Engineering Mastery : Demonstrates technical excellence in building data pipelines troubleshooting distributed systems and scaling infrastructure using AWS and open-source tools

Cross-Functional Collaboration : Communicates clearly across technical and non-technical teams translating business needs into robust data solutions

Proactive Ownership : Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently

Quality-Driven Execution : Holds a high bar for data accuracy auditability and documentation throughout all systems and workflows

Strategic Thinking : Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations

Growth Mindset : Seeks out opportunities to elevate team capabilities mentor others and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potatos Levels Framework. Your compensation package includes a base salary profit-sharing bonus and competitive benefits. Launch Potato is a performance-driven company which means once you are hired future increases will be based on company and personal performance not annual cost of living adjustments.

Want to accelerate your career Apply now!

Since day one weve been committed to having a diverse inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity equity and inclusion.

We do not discriminate based on race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics.

Required Experience :

Senior IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

Yearly Salary Salary : 150000 - 190000

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