> Markdown version of [/jobs/ext/2618943-sr-data-engineer](https://www.wearedevelopers.com/jobs/ext/2618943-sr-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). --- # Sr Data Engineer - **Company:** Apptad Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $87,100.0 - $157,450.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Data Governance, Data Vault Modeling, Python (Programming Language), Performance Tuning, Azure Data Lake, Data Streaming, Azure Data Factory, Sql Optimization, Snowflake, Pyspark, Star Schema, Apache Kafka, Key Vault, Databricks - **Published:** August 10, 2026 - **Apply:** https://www.careerjet.com/jobad/us91c98135679aa82bf8a7600ebfdf4e8c ## About the Role 12+ years of Data Engineering experience Expertise in Snowflake, Databricks, PySpark, and Python Advanced SQL and performance optimization skills Experience with Azure (ADF, ADLS Gen2, Event Hub, Key Vault) or AWS Strong knowledge of dbt, Airflow, Azure Data Factory, and CI/CD pipelines Hands-on experience with Kafka/Event Hub and real-time streaming solutions Data modeling experience (Star Schema, Snowflake Schema, Data Vault, SCD Type 1/2) Strong understanding of data governance, security, and observability Experience in Finance, Revenue, Billing, or Telecom domains is highly preferred ## Related Videos - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Best Practices for Using GitHub Secrets](https://www.wearedevelopers.com/videos/1214-best-practices-for-using-github-secrets) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)