> Markdown version of [/jobs/ext/1333851-data-engineer](https://www.wearedevelopers.com/jobs/ext/1333851-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** Apptad Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $166,400.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Code Review, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Dimensional Modeling, Meta-Data Management, Query Optimization, Power BI, Azure Data Factory, Git, Microsoft Fabric, Data Lineage, Star Schema, Data Pipelines, Databricks
- **Published:** July 18, 2026
- **Apply:** https://www.careerjet.com/jobad/us8931f28bc040075ce5e2e90fd5307637

## About the Role

* 8+ years of experience in Data Engineering.
 * Strong hands-on experience with Microsoft Fabric.
 * Strong experience with Databricks.
 * Expertise in Data Modeling (Dimensional Modeling, Star Schema, Snowflake Schema, Semantic Models).
 * Experience building scalable ETL/ELT pipelines.
 * Strong SQL development and query optimization skills.
 * Experience with Azure Data Services (ADF, ADLS, Synapse/Fabric).
 * Knowledge of DAX, Power BI Semantic Models, and enterprise reporting.
 * Experience implementing RLS and OLS security models.
 * Familiarity with data governance, data lineage, and metadata management.
 * Experience with Git and CI/CD deployment practices.

## Description

* Design, develop, and maintain enterprise semantic models in Microsoft Fabric.
 * Build scalable data pipelines using Microsoft Fabric, Databricks, and Azure data services.
 * Develop and optimize data models, including dimensions, facts, hierarchies, relationships, and reusable business metrics.
 * Implement Row-Level Security (RLS) and Object-Level Security (OLS) to enforce secure data access.
 * Create and optimize DAX measures and semantic models for enterprise reporting and analytics.
 * Develop ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise data sources.
 * Ensure data quality, lineage, governance, and metadata management across the data platform.
 * Optimize query performance for large-scale analytical workloads.
 * Collaborate with business stakeholders to translate reporting and analytics requirements into scalable data solutions.
 * Support enterprise compliance initiatives, including SOX controls, audit readiness, and secure handling of sensitive data.
 * Participate in code reviews, documentation, testing, and production support.


## Related Videos

- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [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)
- [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents)
- [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries)
- [Dev Digest 159: AI Pipelines, 10x Faster TypeScript, How to Interview](https://www.wearedevelopers.com/magazine/563-dev-digest-159-ai-pipelines-10x-faster-typescript-how-to-interview)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)