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
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:
IC
WHO ARE WELaunch 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...
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
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:
IC
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