[All remote jobs](https://jobicy.com/jobs.md)[![Reddit logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2020/10/Reddit.jpg)](https://jobicy.com/company/reddit.md)[Reddit](https://jobicy.com/company/reddit.md) # Analytics Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/reddit.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 164,200–229,990 / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished20 Oct 2026Apply before19 Nov 2026Listing views34Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Reddit is hiring an Analytics Engineer to build dependable data products and analytic tooling for Consumer, Ads, and Marketing teams. The role combines data engineering and analytics work, including large-scale ETL/ELT pipelines, data modeling, integrations, quality controls, monitoring, and internal analysis tools. The engineer will partner closely with data scientists, engineering leaders, and other stakeholders to establish long-term data foundations. Strong production Python, SQL, Spark or Scala, Airflow, database design, dashboarding, and cross-functional communication skills are central to success. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a mid-to-senior technical role requiring production-scale data engineering judgment alongside analytics, governance, and quality expertise. The scope spans multiple business domains and requires influencing a data roadmap with varied stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$197,095US market range (per year)$165k–$230k0$253.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a USD base-salary range of $164,200–$229,990. The posting does not explicitly state the cadence; yearly pay is inferred from the amount, US location, professional seniority, and standard US base-pay conventions. The estimated US annual market range is $165,000–$230,000. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Scala](https://jobicy.com/jobs?search_keywords=Scala.md)[ETL](https://jobicy.com/jobs?search_keywords=ETL.md)[ELT](https://jobicy.com/jobs?search_keywords=ELT.md)[Data modeling](https://jobicy.com/jobs?search_keywords=Data%20modeling.md)[Apache Airflow](https://jobicy.com/jobs?search_keywords=Apache%20Airflow.md)[Data quality assurance](https://jobicy.com/jobs?search_keywords=Data%20quality%20assurance.md)[Data governance](https://jobicy.com/jobs?search_keywords=Data%20governance.md)[Data pipeline development](https://jobicy.com/jobs?search_keywords=Data%20pipeline%20development.md)[Workflow orchestration](https://jobicy.com/jobs?search_keywords=Workflow%20orchestration.md)[Dashboard design](https://jobicy.com/jobs?search_keywords=Dashboard%20design.md)[MPP databases](https://jobicy.com/jobs?search_keywords=MPP%20databases.md)[Cross-functional collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20collaboration.md) Sample interview questionsHow would you design a reliable data pipeline for a high-volume product event dataset?I would define the data contract and grain first, then build idempotent ingestion and transformation stages with schema validation, lineage, partitioning, and retry handling. I would add freshness, volume, uniqueness, and referential-integrity checks, plus monitoring and alerting tied to documented service-level expectations. Describe how you would improve trust in an existing analytics dataset used by several teams. I would start with stakeholder interviews and an audit of source systems, transformations, definitions, and known failure modes. I would document ownership and metrics, reconcile critical fields to sources, implement automated quality tests and observability, and publish a governed model with clear usage guidance. What factors guide your choice between ETL and ELT? I consider source volume, target-platform compute capabilities, transformation complexity, latency, governance requirements, and cost. ELT is often effective when a scalable warehouse can perform transformations centrally, while ETL can be preferable when data must be filtered, standardized, or protected before loading. How do you communicate technical data limitations to non-technical stakeholders? I explain the business impact first, such as which decision or metric could be affected, then describe the limitation in plain language and quantify uncertainty where possible. I present practical options, expected timelines, and a clear recommendation so stakeholders can make informed trade-offs. How would you drive adoption of a new internal data tool? I would identify priority user workflows, involve representative users early, and make the tool solve a measurable pain point. I would provide intuitive documentation, examples, migration support, and feedback channels, then track adoption and reliability metrics to iterate on the product. Opportunity details ## About this role. 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. For more information, visit [www.redditinc.com](http://www.redditinc.com/). We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. We are looking for someone who can 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. Work 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. 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. 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 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, ability to work independently and autonomously, as well as part of a team. Check out our r/RedditEng post to learn more about the team, and what we do: [https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/](https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/) 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 & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit [https://www.redditinc.com/careers/](https://www.redditinc.com/careers/). To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200—$229,990 USD 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](https://redditinc.com/policies/candidate-privacy-policy). 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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