{"id":4031324,"url":"https://alion.io/job/ibotta-analytics-engineer","title":"Analytics Engineer","company":{"id":5341,"name":"Ibotta","domain":"ibotta.com","url":"https://alion.io/company/ibotta","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Denver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":113000,"max":132000,"currency":"USD","period":"year","gross":null,"usd_annual":132000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":true,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-10T16:53:44Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T18:43:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Ibotta is seeking an Analytics Engineer to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. In this role, you will transform raw data into a strategic asset, designing and building the production pipelines, curated datasets, and automation that power our Decision Science, Business Intelligence, and Client & Publisher Analytics teams. You will lead by example as an individual contributor, setting the standard for data quality and engineering best practices while turning complex data into actionable insights for our clients and the business.\nThis position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.\nNot based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.\nWhat you will be doing:\nDesign, build, and orchestrate production data pipelines and dashboards using Databricks and Airflow to automate analytical processes\n\nOrganize and optimize Ibotta’s complex data environment, designing scalable table structures and curated datasets for downstream users in Decision Science and Business Intelligence\n\nPartner with Decision Scientists to design, aggregate, and normalize robust datasets for advanced modeling, machine learning, and predictive analytics\n\nArchitect and document event-based data structures in the data lake to answer critical, high-impact business questions\n\nOwn data quality, reliability, and governance, including automated testing, validation, anomaly detection, and change management standards for analytics workflows\n\nStand up CI/CD (GitHub Actions) and automated testing for analytics code and pipelines\n\nBuild and maintain automation tools and self-service patterns that democratize data access and foster data literacy across the organization\n\nIntegrate AI into engineering workflows, building Claude skills and plugins that automate, standardize, and accelerate the team’s day-to-day work\n\nLead large, complex analytical projects end to end, delivering high-quality work, providing milestone updates, and prioritizing efficiently\n\nMonitor, maintain, and modernize existing data services\n\nRepresent data best practices across Engineering and Decision Science, and mentor associate engineers to foster a culture of technical excellence\n\nEmbrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere\n\nWhat we are looking for:\n3-5 years of experience in analytics engineering, data engineering, or a highly technical analytics/BI role\n\nBachelor’s degree in Computer Science, Engineering, Analytics, Statistics, Economics, or a related field required\n\nExpert-level SQL and proficient Python, with hands-on experience building production grade pipelines and automation\n\nExperience with Databricks (including DABs) and Spark, including cluster configuration and optimizing large-scale data processing\n\nUnderstanding of ETL/ELT patterns and modern data stack tools such as Airflow, dbt, and cloud data warehouses\n\nA “test-driven” approach to data development, with demonstrated practice in automated testing, CI/CD (GitHub Enterprise/Actions), data validation, and anomaly detection\n\nProficiency with Looker/LookML and AI-assisted tooling (Claude, Cursor, Copilot, Databricks Genie)\n\nA proven track record of translating ambiguous business problems into technical data solutions, acting as a bridge between technical teams and business stakeholders\n\nProven ability to establish self-service patterns, set standards, and manage cross-functional priorities in an Agile environment\n\nA growth mindset grounded in clear communication, continuous learning, iterative product delivery, and healthy technical debate\n\nIndependent self-starter who can successfully manage your own time and multitask\n\nAbout Ibotta (\"I bought a...\")\nIbotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.\nTo learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com\nAdditional Details:\nThis position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals.\n\nBase compensation range: $113,000 - $132,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.\n\nIbotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.\n\nApplicants must be currently authorized to work in the United States on a full-time basis.\n\nApplicants are accepted until the position is filled.\n\nFor the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.\n\nRecruiting Agency Notice\nIbotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. 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