Senior Analytics Engineer

Remote from: Canada
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 27 May 2026
Apply before: 27 Jun 2026
Experience level: Senior
Views / Applies: 18 / 5

About company

About Reddit

Dive into anything

Internet
2005

Actively Hiring

AI Summary

Reddit is seeking a Senior Analytics Engineer to join its Data Science organization, focusing on the Sales and Marketing domain. The role involves curating, developing, and deploying data and analytic tooling to support business growth. Responsibilities include leading ETL development, data stewardship, creating user-friendly tools, and mentoring team members. Candidates need an advanced degree in a quantitative field and 5+ years (MS) or 4+ years (PhD) of industry experience with large-scale ETL systems. Strong programming skills in Python, SQL, Spark, and Scala are required.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires advanced technical skills, mentorship, and cross-functional collaboration, making it challenging but not the highest difficulty due to the availability of support.

Salary Analysis

AI Insight The offered salary is not specified, but based on market data for Senior Analytics Engineers in the US, the median is around $160,000. This role at Reddit is likely competitive, especially considering the company's size and location (remote-friendly).

Key Skills

Analytics Engineering ETL Python SQL Data Modeling Sales and Marketing Analytics Data Pipelines Mentorship Spark Scala

Cover Letter Sample

I am excited to apply for the Senior Analytics Engineer position at Reddit. With my background in data engineering and analytics, I have successfully built and maintained large-scale ETL systems that empower data-driven decision-making. My experience in sales and marketing domains aligns perfectly with the responsibilities of this role, where I can drive data quality and automation initiatives.

I am particularly drawn to Reddit's mission of fostering authentic communities. I believe my skills in Python, SQL, and data modeling can help Reddit scale its data infrastructure and support cross-functional teams. I am eager to contribute to a data-driven culture and mentor team members.

Thank you for considering my application. I look forward to the opportunity to discuss how I can add value to Reddit's Data Science organization.

Possible Interview Questions

Describe your experience with large-scale ETL systems. How have you ensured data quality and reliability?

I have worked on ETL pipelines processing terabytes of data daily, using tools like Apache Spark and Airflow. I implemented data validation checks and monitoring to catch anomalies early, and I collaborated with data producers to improve upstream data quality.

How do you approach data modeling for a sales and marketing domain?

I start by understanding business KPIs and then design star schemas or data vaults to support reporting and analytics. I work closely with stakeholders to define metrics and ensure the model can accommodate changes in marketing campaigns or sales funnels.

Can you give an example of a tool or application you built to enable self-service analytics?

I built a dashboard using Looker that allowed marketing managers to track campaign performance in real-time. I also created a Python-based tool that automated data extraction and reporting, reducing manual effort by 80%.

How do you mentor junior data scientists or engineers?

I pair with them on projects, review their code, and hold regular knowledge-sharing sessions. I encourage them to ask questions and provide constructive feedback to help them grow.

Explain a time you had to balance data engineering and data science priorities. How did you handle it?

In a previous role, data scientists wanted immediate access to raw data, but I advocated for building a clean, governed data layer first. I compromised by creating a temporary pipeline for quick access while developing a robust solution, which both teams appreciated.

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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit has a flexible workforce! If you happen to live close to one of our physical office locations, our doors are open so you can come into the office as often as you’d like. Don’t live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence

We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization, focused on the Sales and Marketing domain. We are looking for someone who can work closely with Data Scientists and members of Sales and Marketing cross-functional teams to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s business forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to grow our Sales and Marketing reach.

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 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 initiatives.
Be 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 activities.
Develop 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 pipelines.
Create 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 reliability.
Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service.
Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners.
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.

Required Qualifications:

Advanced degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physics
For 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 environment.
For 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 environment.
Experience working in Sales and Marketing domains.
Strong programming proficiency in Python, SQL, Spark, Scala, etc.
Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering.
Experience in data visualization and dashboard design, including tools such as Looker, Tableau, R visualization packages, streamlit, D3, and other libraries, etc.
Deep understanding of technical and functional designs for relational and MPP Databases.
Proven 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 acumen.
Experience in mentoring junior data scientists and analytics engineers.
Self-starter, ability to work independently and autonomously, as well as part of a team.

Nice to have:

Sales and Marketing domain experience
Past experience collaborating closely with data scientists, sales, and marketing managers

Benefits:

Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Comprehensive Medical Benefits & Health Care Spending Account
Registered Retirement Savings Plan with matching contributions
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

#LI-REMOTE

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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