Senior Analytics Engineer

This is a fully remote position, open to applicants in California, +12 more states.

📋 Description

• Take ownership of data products from the initial source through to dashboards, metrics, or decision-making workflows.

• Design, construct, test, deploy, and sustain comprehensive data product pathways.

• Collaborate with Marketing, Product, Finance, and Engineering teams to transform vague inquiries into dependable data products.

• Develop testing protocols, documentation, monitoring systems, and data quality controls.

• Diagnose issues across pipelines, transformations, models, metrics, and reports.

• Enhance data architecture, streamline workflows, and responsibly automate repetitive tasks using AI.

• Create data pipelines, dbt models, semantic views, or AI agents in Snowflake, alongside Power BI dashboards.

• Work in collaboration with the Business Intelligence & Data Engineering team and the larger Aceable organization.

⛳️ Requirements

• Over 7 years of experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a similarly technical role in data.

• Proficient in advanced SQL with practical experience in building production-scale transformations in a cloud data warehouse, preferably using Snowflake, dbt, and GitHub or equivalent tools.

• Solid understanding of dimensional modeling, data marts, data quality testing, documentation, version control, code review, and software development lifecycle methodologies.

• Experience with at least one data integration, ETL/ELT, orchestration, or event-data platform.

• Comprehension of data movement from source systems through transformations and into downstream reporting.

• Proven experience in constructing semantic models, DAX measurements, dashboards, and self-service data products utilizing Power BI or a similar modern BI platform.

• Capability to convert highly ambiguous business challenges into reliable and maintainable solutions.

• Strong communication skills for effective collaboration with technically proficient partners and stakeholders.

• Experience in building semantic layers, AI agents, or automated workflows that facilitate generative AI and natural-language analytics.

• Commitment to using AI responsibly to enhance technical work and automate repetitive processes.

• Practical experience with Matillion or Segment.

• Background in supporting digital event instrumentation and transforming customer journey, product usage, and marketing data into trustworthy, analytics-ready datasets.

• Familiarity with APIs, JSON, Python, Git, CI/CD, and automated deployment workflows.

• Experience in data observability, lineage, governance, privacy, role-based access, and optimizing warehouse costs.

🏝️ Benefits

• Competitive total rewards package (base salary + bonus/stock options, if applicable).

• 401k matching.

• Comprehensive medical, dental, and vision benefits.

• Generous paid time off policies, plus 19 paid holidays each year.

• Flexible work schedule.

• Wellness initiatives.

• Free parking available.

• Weekly lunch provided, along with a fully stocked fridge and plenty of snacks.

• Company events and activities, including holiday celebrations, happy hours, and volunteer opportunities.

• #PursueGrowth Reimbursement ($600 annually for full-time employees).

• Complimentary Roadside Assistance subscription.

• Enthusiastic teammates eager to support your success and foster your learning.