[Remote] Senior Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. Reddit is a community of communities, and they are seeking a talented and driven individual to join their Analytics Engineering team within the Data Science organization. This role focuses on curating, developing, and deploying data and analytic tooling to support Sales and Marketing, empowering colleagues to enhance their reach and effectiveness.ResponsibilitiesBe the Analytics Engineering lead within the Sales and Marketing organization and a key contributor to the success of Data Science data quality, performance, and automation initiativesBe the data steward for Sales and Marketing: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for business tracking, advertiser outreach and acquisition, marketing campaigns, and other data-driven activitiesDevelop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelinesCreate user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliabilityLead transformational efforts to build a data-driven culture at Reddit by enabling data self-serviceProvide technical guidance, mentorship, coaching and/or training to data scientists and other technical partnersServe as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for RedditSkillsAdvanced degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physicsFor M.S. holders: 5+ years of industry experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable, code and systems (Python preferred) in a production environmentFor Ph.D. holders: 4+ years of industry experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable, code and systems (Python preferred) in a production environmentExperience working in Sales and Marketing domainsStrong programming proficiency in Python, SQL, Spark, Scala, etcExperience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured dataExperience with data workflows (such as Airflow), data modeling, front-end or back-end engineeringExperience in data visualization and dashboard design, including tools such as Looker, Tableau, R visualization packages, streamlit, D3, and other libraries, etcDeep understanding of technical and functional designs for relational and MPP DatabasesProven track record of cross-functional execution and collaboration. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumenExperience in mentoring junior data scientists and analytics engineersSelf-starter, ability to work independently and autonomously, as well as part of a teamSales and Marketing domain experiencePast experience collaborating closely with data scientists, sales, and marketing managersBenefitsComprehensive Healthcare Benefits and Income Replacement Programs401k with Employer MatchGlobal Benefit programs that fit your lifestyle, from workspace to professional development to caregiving supportFamily Planning SupportGender-Affirming CareMental Health & Coaching BenefitsFlexible Vacation & Paid Volunteer Time OffGenerous Paid Parental LeaveEquity in the form of restricted stock unitsMay also be eligible to receive a commissionMedical, dental, and vision insurance401(k) program with employer matchGenerous time off for vacationParental leaveCompany OverviewReddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. It was founded in 2005, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.redditinc.com.Company H1B SponsorshipReddit, Inc. has a track record of offering H1B sponsorships, with 22 in 2026, 99 in 2025, 63 in 2024, 76 in 2023, 70 in 2022, 68 in 2021, 39 in 2020. Please note that this does not guarantee sponsorship for this specific role.