Staff Analytics Engineer

About TaxDome

At TaxDome, we're building the #1 practice management platform for accounting firms in the US and globally. Founded in 2017, we've grown into a 400+ fully remote team across 40+ countries, serving tens of thousands of businesses worldwide with millions of end clients.

How we work

You'll be part of a globally distributed team built on trust, ownership, and self-management.

We focus on outcomes over activity — prioritizing clear ownership, pragmatic decision-making, and accountability for results over rigid processes. Collaboration is central to how we operate: we communicate openly, involve the right people early, and continuously improve how we build products and teams together.

About this role

We're hiring a Staff Analytics Engineer to join TaxDome's data team — the group building and owning the analytics warehouse on BigQuery. You'll work across the full data lifecycle: designing and evolving data models, onboarding new sources, building analytics for product and business teams, and contributing to AI-native workflows and agentic pipelines. The team works AI-first — Claude Code and LLM tooling are embedded in the daily workflow, not an experiment.

It’s a fully remote role, we are hiring across European timezones.

Our tech stack

• Cloud: Google Cloud Platform (BigQuery, GCS, GKE/Kubernetes)

• DWH: BigQuery (cross-region, column-level security, PII masking)

• Transformations & data load: dbt & Python

• Orchestration: Apache Airflow on Kubernetes, Python ETL

• BI: Data Studio

• Process: GitLab, CI checks for layer architecture, AI-assisted code review

• AI: Claude Code, LLM-driven development and analytics

What you'll be responsible for

• Onboard new data sources end to end — from raw ingestion to certified marts.

• Advance data quality: tests, contracts, metrics dashboards, and anomaly monitoring.

• Contribute to warehouse architecture evolution: conventions, code review, documentation, and AI-ready data contracts.

• Build and maintain dashboards for product and business teams; design metrics and bring them to self-service.

• Drive analytical work from business question to reproducible analysis with a clear decision recommendation.

• Develop models and analyses with AI assistants (Claude Code and similar) as a primary workflow, not a shortcut.

• Help build AI-native team processes: automating routine work, agentic pipelines for documentation, testing, and ad-hoc analysis.

• Act as the translator between business questions and data model design.

What you bring

Must-have

• Proven depth in data roles — analytics engineering, data analysis with an engineering orientation, or data engineering with strong analytical capability.

• Advanced SQL — you write and review complex queries comfortably and reason about performance trade-offs.

• Hands-on production experience with dbt: incremental models, snapshots, tests, macros, and project organisation.

• Experience designing DWH layers and reasoning about trade-offs: normalisation vs. marts, full rebuild vs. incremental, SCD2.

• Python for ETL tasks and data analysis.

• Experience building dashboards and metrics with the ability to drive analysis through to a decision — not just a table.

• Real, embedded experience working with AI assistants in your daily workflow — LLMs as a core tool, not an occasional experiment.

• Experience with Airflow or another orchestration platform

• Advanced stakeholder and project management: able to take a vague business problem, decompose it into a plan, and drive it to completion independently.

Nice-to-have

• SaaS product analytics background: PLG metrics, funnel analysis, cohort modelling.

• Experience with GA4, HubSpot, or Stripe data.

• Understanding of data privacy requirements: GDPR, PII masking, policy tags.

• Experience building agentic pipelines or automations on top of LLM APIs.

What we offer

At TaxDome, we aim to create an environment where people can do their best work and grow alongside the company.

• Competitive compensation, paid in USD, transparently shared before the first interview

• Fully remote work with flexible hours

• 30 paid days off annually, plus sick days as needed

• Health & well-being support

• Learning & development budget to support your professional growth

• English lessons reimbursement

• Co-working space reimbursement

• Company-provided equipment (conditions may vary depending on the role)

• A high level of autonomy and ownership in your work

• The opportunity to make a real impact in a fast-growing global SaaS company

• A collaborative, international team with a strong product mindset

Upon successful completion of the interview process and acceptance of the offer to join, an employment verification check will be conducted as part of pre-boarding — confirming job titles and dates of engagement with 2 of your previous employers. This is a required step for all new joiners.

If you're excited about this opportunity and believe you could make an impact at TaxDome, we'd love to hear from you!