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C

Senior Analytics Engineer

CirrusLabs
Location not stated
Senior
7 months ago
  • Airflow
  • Looker
  • AI
  • Power BI
  • Apache Airflow
  • Looker Studio
  • Agile
  • SQL
  • Data Modeling
  • BigQuery
  • Python
  • AI/ML
7 months ago
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We areCirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented<Job Title>to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.

Job Title: Senior Analytics Engineer (Airflow | Semantic Modeling | Looker)
Location: LATAM (Remote)
Aligned to U.S. time zones
Embedded within a Data & AI Product POD

Role Overview
We are looking for a Senior Analytics Engineer to sit between data pipelines and business analytics, ensuring that raw data is transformed into clean, well-modeled, analytics-ready datasets that power BI, executive reporting, and AI use cases.
This role is ideal for someone who understands data engineering fundamentals, excels at semantic and analytical modeling, and knows how to operationalize analytics using Apache Airflow and Looker.
You will work closely with the Data Architect, Data Engineers, and BI Consultants to ensure data is reliable, well-modeled, and easy to consume across the organization.

Key Responsibilities
  • Analytics Engineering & Modeling
  • Design and build analytics-ready datasets using strong semantic modeling principles
  • Translate raw and transformed data into facts, dimensions, and metrics
  • Ensure consistency between data models and business definitions
  • Own the analytical layer that feeds dashboards, reporting, and AI workflows
  • Pipeline Orchestration (Airflow)
  • Build, maintain, and support Apache Airflow DAGs for analytics transformatio
  • Orchestrate data transformations and downstream dependencies
  • Partner with Data Engineers to align ingestion pipelines with analytics needs
  • Monitor pipeline health, data freshness, and SLAs
  • BI & Looker Enablement
  • Develop and maintain Looker / Looker Studio models
  • Implement semantic layers that ensure trusted, reusable metrics
  • Support BI consultants with optimized datasets for storytelling and visualization
  • Ensure dashboards are powered by scalable and well-governed data models

Data Quality & Reliability
  • Implement data quality checks and validation rules
  • Monitor for schema changes, data anomalies, and pipeline failures
  • Proactively identify and resolve issues before they impact users
  • Collaboration & POD Delivery
  • Work within an Agile POD, contributing to sprint planning and execution
  • Collaborate with Product, BI, and Architecture to align analytics with business goals
  • Participate in backlog grooming, estimations, and delivery commitments

Required Skills & Experience
Must-Have
  • 5–8 years of experience in Analytics Engineering, Data Engineering, or BI Engineering
  • Strong hands-on experience with:
  • Apache Airflow
  • Advanced SQL
  • Semantic and analytical data modeling
  • Looker / Looker Studio
  • Experience working with BigQuery or similar cloud data warehouses
  • Strong understanding of analytics layers and metric definitions
  • Excellent English communication skills
  • Experience working with U.S.-based stakeholders

Nice-to-Have
  • Experience with Python-based data transformations
  • Familiarity with LookML
  • Exposure to AI/ML feature preparation
  • Background in product-centric or POD-based teams
  • What Success Looks Like
  • Analytics datasets are trusted and consistently used
  • BI teams move faster with fewer data issues
  • Metrics are clearly defined and universally understood
  • Pipelines are reliable, observable, and scalable
  • Business users get answers without confusion or rework

Why This Role
  • High-impact role at the intersection of data, analytics, and product
  • Direct influence on BI, reporting, and AI initiatives
  • Long-term roadmap beyond the initial contract
  • Work alongside senior architects and engineers
  • Key contributor within a high-performing LATAM POD

Senior Analytics Engineer · CirrusLabs

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