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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Sovos Compliance - **Location:** Hopkins, MN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Code Coverage, Continuous Integration, Information Engineering, Data Governance, Python (Programming Language), Netsuite, OAuth, Performance Tuning, Azure Active Directory, Salesforce.Com, Tax Compliance Software, YAML, Scripting, Sql Optimization, Snowflake, Prompt Engineering, Build Management, Star Schema, Machine Learning Operations - **Published:** June 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=97081bdd2f9a9fc5 ## About the Role Do you have experience in System performance optimization?, * 5-8 years of experience in data engineering, with a track record of building and maintaining production pipelines and dbt projects at scale * Advanced SQL skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries * Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers * Snowflake proficiency: roles, warehouses, governance, masking policies, and row-level security - not just querying, but owning the environment * Experience supporting financial close cycles, including on-call ownership of pipeline failures; understands what WD1 means and why it matters * Fluency in the revenue data chain (Billing ARR Deferred Revenue Rev Rec Close Pack) with the ability to engage finance stakeholders directly on data discrepancies * Strong communication skills: able to explain technical trade-offs to non-technical audiences and write documentation that finance analysts can use to validate outputs * Preferred: Experience integrating CRM/ERP systems (NetSuite, Salesforce, or similar) into a warehouse layer, including ELT patterns, API pagination, and incremental loads * Preferred: Python for pipeline scripting and orchestration * Preferred: Cloud infrastructure experience: Azure (App Service, Azure AD, Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals * Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data * Preferred: Background in B2B SaaS metrics: ARR, GRR, NRR, churn, and deferred revenue * Preferred: Familiarity with data governance practices: PII handling, access control, and GDPR basics * Nice to Have: RAG architecture, hybrid retrieval strategies, or prompt engineering experience * Nice to Have: MLOps or ML pipeline experience * Nice to Have: Domain knowledge in compliance, tax technology, or e-invoicing * Due to client contractual obligations, the successful candidate will be asked to clear a background check and drug test upon hire ## Description At Sovos, we're building a world-class financial data platform to support a global tax compliance leader - and the Senior Data Engineer is the foundation it all runs on. In this role, you'll own the full pipeline stack: from ingestion through transformation, all the way to the finance-trusted, close-ready outputs that FP&A, Accounting, and leadership rely on to make critical decisions. You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our US topline data chain, and you'll be the person the team counts on when something needs to be fixed before close. This isn't just plumbing - it's high-visibility, high-ownership engineering work with a direct line to business impact. You'll also play a key role in shaping how AI consumers interact with structured financial data, treating them as first-class stakeholders alongside finance teams. More specifically, you will: * Design and build the Snowflake schema and dbt model architecture for the US topline data chain: Billing ARR Deferred Revenue Rev Rec Close Pack * Deliver ingestion and transformation models with full test coverage and documentation across all assigned use cases * Own pipeline reliability through financial close - monitor, alert on, and recover from failures; serve as the primary on-call escalation point * Establish data quality standards, dbt testing conventions, and Snowflake governance patterns for the broader team * Partner with the Analytics Engineer on business-layer model design to ensure technical outputs map accurately to finance requirements * Extend the dbt model layer to cover OPEX, COGS, commissions, and ASC 340-40 capitalized software as scope grows * Write dbt YAML documentation - table descriptions, column definitions, and grain statements - as a first-class production deliverable, recognizing that documentation quality directly determines AI answer accuracy * Own row-level security and model freshness SLAs for real-time AI queries, treating AI consumers as first-class stakeholders alongside finance ## Related Videos - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)