[Remote] Sr Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. Aceable provides licensing education in driver's education, real estate, insurance, and mortgage, and is investing in AI to improve learning outcomes. The Senior Analytics Engineer will own end-to-end data products, including pipelines, transformations, semantic models, dashboards, and workflows, while partnering with business stakeholders to deliver reliable data solutions and improve data quality, architecture, and automation.

Responsibilities

• Own data products end to end. Take a problem from source data all the way through to the dashboard, metric, or workflow someone actually makes a decision with. Design, build, test, deploy, and maintain the whole path rather than handing it off at each layer
• Turn fuzzy questions into things people trust. Work directly with partners in Marketing, Product, Finance, and Engineering to figure out what they're really asking, then build something reliable and maintainable enough that they stop asking you and just use it
• Own quality from source to screen. Build the testing, documentation, monitoring, and data quality controls that keep trust high, and when something breaks, chase it wherever it actually lives: pipeline, transformation, model, metric, or report
• Leave the platform better than you found it. Improve architecture, simplify workflows, and automate repetitive work, including using AI well to move faster on coding, investigation, testing, and documentation, while holding the line on accuracy and human review

Skills

• 7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a similarly technical data role
• Advanced SQL and hands-on experience building production-scale transformations in a cloud data warehouse, ideally Snowflake, dbt, and GitHub or close equivalents
• A strong understanding of dimensional modeling, data marts, data quality testing, documentation, version control, code review, and software development lifecycle practices
• Experience with at least one data integration, ETL/ELT, orchestration, or event-data platform, plus a solid understanding of how data moves from source systems through transformation and into downstream reporting
• Experience building semantic models, DAX measurements, dashboards, and self-service data products using Power BI or an equivalent modern BI platform
• The ability and judgment to take a highly ambiguous business problem, ask the right questions, and turn it into something reliable and maintainable, plus the communication skills to do that with deeply technical partners and stakeholders who just need the data to make sense
• Experience building semantic layers, AI agents, or automated workflows that support generative AI and natural-language analytics and a willingness to use AI responsibly to accelerate technical work, automate repeatable processes, and continuously expand your capabilities
• Hands-on experience with Matillion or Segment
• Experience supporting digital event instrumentation and transforming customer journey, product usage, and marketing data into trusted, analytics-ready datasets, especially in support of Marketing, Product, Finance, or executive decision-making
• Familiarity with APIs, JSON, Python, Git, CI/CD, and automated deployment workflows
• Experience with data observability, lineage, governance, privacy, role-based access, and warehouse cost optimization

Benefits

• Bonus/stock options, if applicable
• 401k match
• Robust medical, dental, and vision benefits
• Generous paid time off programs
• 19 paid holidays per year
• Flexible work schedule
• Wellness programs
• Free parking
• Weekly lunch, a fully stocked fridge, and plentiful snacks
• Company events and activities (holiday events, happy hours, volunteering)
• #PursueGrowth Reimbursement ($600 per year for full-time employees)
• Free Roadside Assistance subscription
• Passionate teammates excited to help you succeed and learn
• Hybrid work environment with flexibility to work in office or remote based on role/department and location

Company Overview

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