Senior Analytics Engineer Job at Tier4 Group

Senior Analytics Engineer

Tier4 Group

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a Senior Analytics Engineer to help evolve a business intelligence function from traditional reporting into a modern, proactive, AI-augmented data platform. This role sits at the intersection of analytics engineering, data infrastructure, and intelligent automation. You will design and maintain the data models, pipelines, and semantic layers that power both human decision-making and automated systems. Your work will directly support advanced analytics, AI-driven workflows, and emerging agent-based use cases across the organization. This role is ideal for a senior practitioner who enjoys hands-on building, thoughtful system design, and influencing technical direction without stepping fully into people management.

Job Responsibility:

Architect, build, and maintain reliable ELT pipelines using modern data tooling and cloud warehouses
Apply AI-assisted development practices to reduce repetitive work while maintaining high standards for readability and correctness
Write efficient, well-structured SQL and Python to transform, validate, and integrate data from multiple sources
Design and maintain analytical data models, including fact tables, dimensions, metrics layers, and reusable datasets
Build datasets that serve multiple consumers, including analysts, dashboards, and downstream programmatic or automated workflows
Maintain clarity around data ownership, definitions, and relationships
Create data structures and pipelines that support AI and LLM-powered use cases such as context retrieval, embeddings, structured outputs, and tool-based agents
Partner with other technical teams to ensure data is usable, discoverable, and reliable for automated systems
Monitor data freshness, completeness, and correctness across pipelines
Surface issues proactively and explore automated alerting or remediation patterns
Maintain clear documentation and lineage so both humans and systems can understand how data flows
Support analytics and reporting tools by ensuring data is performant, documented, and trustworthy
Participate in code reviews and planning discussions
help shape longer-term infrastructure decisions
Mentor junior and mid-level contributors in SQL, data modeling, and effective use of AI development tools

Requirements:

7+ years of experience in analytics engineering, data engineering, or a closely related role
Strong command of SQL, including complex transformations, performance debugging, and model design
Proficiency in Python for data processing, automation, and API integrations
Hands-on experience with a cloud data warehouse (Snowflake preferred)
Experience using dbt or a similar transformation framework
Familiarity with orchestration tools (e.g., Dagster or Airflow) or managed ELT services
Practical, day-to-day use of AI coding assistants as a productivity tool, paired with sound judgment
Strong communication skills and a habit of documenting decisions, definitions, and systems
Ability to operate as a senior IC—contributing direction, mentoring peers, and supporting planning efforts

Nice to have:

Exposure to LLM- or agent-based systems, such as retrieval-augmented generation or tool-driven workflows
Experience with BI platforms (e.g., Sigma, Looker, Tableau, Power BI)
Familiarity with vector search or semantic data infrastructure
Experience working in cloud environments (Azure preferred
AWS or GCP also relevant)
Knowledge of data quality frameworks, testing, and observability tools
Comfort working in fast-moving environments where iteration and learning are critical

Additional Information:

Job Posted:
May 04, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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