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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Analytics Engineering and Data Engineering, with a strong focus on building and maintaining data products, pipelines, and dashboards. Proficient in SQL, data quality testing, and leveraging AI for automation and data transformation.
Highest-signal resume keywords
Advanced SQLData Pipeline DevelopmentPower BI Dashboard CreationData Quality TestingExperience with Snowflake
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Analytics EngineeringData EngineeringDimensional ModelingETL/ELT ProcessesDAX MeasurementsData IntegrationData TransformationVersion ControlAutomated WorkflowsData Observability
Soft Skills
Communication SkillsProblem-Solving
Tools & Technologies
SnowflakePower BIDbtMatillionSegmentGitCI/CDAPIsPythonJSON
Industry Keywords
Business IntelligenceData GovernanceData QualityData ArchitectureDigital Event Instrumentation
Tech Stack
Tools & technologiesCloudETLMatillionPythonSQL
About the role
Key responsibilities & impact- Own data products end to end from source data through dashboards, metrics, or decision-making workflows
- Design, build, test, deploy, and maintain complete data product paths
- Partner with Marketing, Product, Finance, and Engineering to turn ambiguous questions into reliable data products
- Build testing, documentation, monitoring, and data quality controls
- Troubleshoot issues across pipelines, transformations, models, metrics, and reports
- Improve data architecture, simplify workflows, and automate repetitive work using AI responsibly
- Build data pipelines, dbt models, semantic views or AI agents in Snowflake, and Power BI dashboards
- Collaborate across the Business Intelligence & Data Engineering team and the broader Aceable organization
Requirements
What you’ll need- 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
- 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
- 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
- Ability to turn highly ambiguous business problems into reliable and maintainable solutions
- Communication skills for working with deeply technical partners and stakeholders
- Experience building semantic layers, AI agents, or automated workflows that support generative AI and natural-language analytics
- Willingness to use AI responsibly to accelerate technical work and automate repeatable processes
- 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
- 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
Comp & perks- Competitive total rewards (base salary + 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