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TAXWELL
TAXWELL
1 – 10 Employees
ConsultingFinanceLegal
TAXWELL is a specialized legal services firm advising on international and national taxation, tax litigation, mergers and acquisitions, and board-level matters. Founded in 2003, the firm brings together tax and corporate lawyers with more than two decades of experience, including expertise in Supreme Court litigation and backgrounds in Big Four accounting firms. Its work is focused on complex, high-value tax and corporate issues, supported by close collaboration with respected arbitrators and international legal counsel. TAXWELL operates across the legal, finance, and consulting sectors while pursuing steady, independent growth.
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Analytics Engineer II, Remote in the United States

Build dbt and Snowflake data models for TAXWELL’s digital tax platform. Create dependable datasets, metrics, and pipelines that support business decisions.

USUnited StatesRemoteFull-timeMiddleSeniorEnglish RequiredAnalytics Engineer
AWSCloudPythonSQLTableau

Description

  • Create and maintain reliable, documented data models for reporting, self-service analytics, and business decisions.
  • Work with data engineers, analysts, data scientists, and business stakeholders to turn raw data into reusable datasets and consistent metrics.
  • Build and manage data models and transformation pipelines with dbt and Snowflake.
  • Write and tune SQL queries and transformations for reporting, analytics, and operational use.
  • Manage assigned work from requirements gathering through development, validation, deployment, and ongoing support.
  • Clarify stakeholder needs and turn analytical requirements into accurate datasets and metrics.
  • Coordinate with data engineers to connect new data sources and resolve upstream dependencies.
  • Create and maintain dbt models, macros, automated tests, and documentation.
  • Resolve data quality problems and transformation failures, and improve query and model performance.
  • Help define shared metrics and semantic layers.
  • Keep data definitions, documentation, and lineage current to support governance and self-service analytics.
  • Take part in code reviews and knowledge sharing.
  • Use AI-assisted tools for SQL development, troubleshooting, testing, and documentation, and verify their output.
  • Share progress, dependencies, and risks, and seek guidance on complex or unclear work.

Requirements

  • 3–5 years of experience in analytics engineering, data modeling, business intelligence, or a related data field.
  • Strong SQL skills, including complex joins, window functions, aggregations, query troubleshooting, and optimization.
  • Practical dbt experience, including modular models, testing, documentation, and basic Jinja.
  • Experience with Snowflake or a similar cloud data warehouse.
  • Working knowledge of dimensional modeling, dataset grain, and table relationships.
  • Experience with Git, pull requests, and collaborative code review.
  • Understanding of data quality, automated testing, documentation, governance, and lineage.
  • Ability to deliver well-defined work independently, clarify unclear requirements, and troubleshoot data issues.
  • Experience with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar.
  • Ability to explain technical concepts to technical and non-technical audiences.
  • Attention to detail, curiosity, and a proactive approach to solving problems.
  • Experience with semantic layers, shared metric definitions, or data contracts.
  • Experience with modern BI tools such as Sigma, Omni, Tableau, Power BI, or Looker.
  • Familiarity with data ingestion and integration tools such as Fivetran or Matia.
  • Familiarity with CI/CD and automated deployment of analytics code.
  • Experience using Python for scripting or automation.
  • Familiarity with AWS services for data integration and processing.

Benefits

  • A supportive, open, and inclusive workplace.
  • Equal opportunity employment.
  • Disability assistance and accommodations during the hiring process.

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