Job
Mai ka hānai hoa
Analytics Engineer
Kumukuai ma ke noi
Nā kikoʻī
- ʻAno hana
- manawa piha
- mamao
- ʻAe
- Hui
wehewehe
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. You will work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base.
Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas.
Responsibilities
• Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives.
• Manage a portfolio of data products that deliver high-quality, trustworthy data.
• Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation, working closely with engineering to ensure the quality and reliability of these data pipelines.
• Develop and implement data quality checks, conduct QA, and implement monitoring routines.
• Create and manage new data integrations across internal and external systems.
• Create tools and applications for internal use that streamline data analysis and reporting, and drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.
• Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.
Qualifications
• Bachelor’s degree in computer science or a quant educational field.
• 3+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment.
• Strong programming proficiency in Python, SQL, Spark, Scala, etc.
• Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance, including manipulating massive-scale structured and unstructured data.
• Experience with data workflows (such as Airflow), data modeling, and front-end or back-end engineering.
• Experience in data analysis and dashboard design.
• Deep understanding of technical and functional designs for relational and MPP databases.
• Proven track record of cross-functional execution and collaboration.
• Agentic AI-assisted development experience.
• Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen.
• Self-starter, able to work independently and autonomously, as well as part of a team.
Benefits
• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer match.
• Global benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities it serves.
Source: Jobspresso (https://jobspresso.co/job/analytics-engineer-2/)
We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. You will work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base.
Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas.
Responsibilities
• Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives.
• Manage a portfolio of data products that deliver high-quality, trustworthy data.
• Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation, working closely with engineering to ensure the quality and reliability of these data pipelines.
• Develop and implement data quality checks, conduct QA, and implement monitoring routines.
• Create and manage new data integrations across internal and external systems.
• Create tools and applications for internal use that streamline data analysis and reporting, and drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.
• Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.
Qualifications
• Bachelor’s degree in computer science or a quant educational field.
• 3+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment.
• Strong programming proficiency in Python, SQL, Spark, Scala, etc.
• Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance, including manipulating massive-scale structured and unstructured data.
• Experience with data workflows (such as Airflow), data modeling, and front-end or back-end engineering.
• Experience in data analysis and dashboard design.
• Deep understanding of technical and functional designs for relational and MPP databases.
• Proven track record of cross-functional execution and collaboration.
• Agentic AI-assisted development experience.
• Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen.
• Self-starter, able to work independently and autonomously, as well as part of a team.
Benefits
• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer match.
• Global benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities it serves.
Source: Jobspresso (https://jobspresso.co/job/analytics-engineer-2/)
Loaʻa kēia papa inoa mai kahi hānai hoa. E noi ma ka punaewele punaewele.
Puna: Reddit
Hāʻawi ʻia ka papa inoa e Reddit.
