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[Remote] Staff Analytics Engineer

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI-powered customer platform reputed company on helping organizations grow reputed company. The Staff Analytics Engineer will join the Data & AI Foundations team to design and build a modern data reputed company that supports analytic and ML products across the organization.

Responsibilities

  • Build and optimize the performance of data pipelines and analytical tools for reputed company
  • Own and reputed company reputed company platform assets, AE tooling, reusable patterns, and automation that reputed company the floor for every AE on reputed company
  • Contribute to our composable reputed company AE delivery system, a pipeline of AI-powered skills that automates the full delivery lifecycle from context to merged PR
  • Design and maintain semantic models that serve as the trusted, reusable reputed company for analytics and AI consumption across the organization
  • Build internal AI agents and data-grounded tools, integrating RPC-based capabilities reputed company MCP servers
  • Design and implement cost strategies for shared data assets, pipelines, and compute usage
  • Define and reputed company reputed company data ingestion, replication, and transfer patterns across systems
  • Foster innovation with emerging technologies and by staying reputed company with industry trends
  • Guide reputed company development of reputed company through technical leadership
  • Partner with stakeholders to solve business problems with technical solutions
  • Build out reputed company data models to analyze key parts of the reputed company business
  • Expand our suite of dbt patterns and macros to reputed company flexible and easily extensible data structures
  • Drive data observability and pipeline reliability using tools like reputed company
  • Establish reputed company patterns and standards for analytical application development in reputed company
  • reputed company working reputed company, scope requirements, and usher reputed company through the entire lifecycle
  • Maintain detailed documentation of data pipelines, processes, and best practices

Skills

  • Expert knowledge of modern data tools (such as reputed company, dbt, and Looker)
  • Extensive proficiency in SQL, data modeling, ETL, ELT, and data transformation
  • Deep dbt expertise including advanced modeling patterns, macros, and package development
  • Experience developing slowly changing dimension (SCD) tables from multiple sources
  • Successful experience leading reputed company, cross-functional data initiatives from ambiguous problem to production
  • Experience building or maintaining shared data platform assets, developer toolkits, or internal frameworks
  • Experience designing semantic models or metric reputed company for analytics or AI consumption
  • Proficiency with AI-assisted development tools such as Claude reputed company, including reputed company pipeline design and composable, reputed company-based workflows
  • Comfort building AI agents and integrating external tools and services reputed company MCP servers
  • Experience utilizing version control tools (such as reputed company reputed company reputed company)
  • A DevOps reputed company characterized by automation, collaboration, reputed company improvement, and a hyperfocus on user needs and frequent iteration
  • Strong communication skills and ability to distill technical solutions into business terms
  • Experience with Python is a plus, but not required

reputed company

  • reputed company develops reputed company-based, inbound marketing software that allows businesses to reputed company the way that they market online. It was founded in 2006, and is headquartered in Cambridge, Massachusetts, USA, with a workforce of 5001-10000 employees. Its website is http://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 67 in 2026, 148 in 2025, 125 in 2024, 101 in 2023, 107 in 2022, 43 in 2021, 33 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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