> Markdown version of [/jobs/ext/3806166-data-engineer-job-in-bellevue](https://www.wearedevelopers.com/jobs/ext/3806166-data-engineer-job-in-bellevue). 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 job in Bellevue

- **Company:** Tech Brains Solutions Inc
- **Location:** Bellevue, WA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Azure, Big Data, Cloud Storage, Continuous Integration, Data Validation, Data Infrastructure, Python (Programming Language), SQL Azure, Microsoft Business Intelligence, Power BI, Azure Data Lake, Scala (Programming Language), SQL Databases, Azure Data Factory, Snowflake, Hdinsight, Azure Synapse Analytics, Data Pipelines, Serverless Computing, Databricks
- **Published:** October 17, 2026
- **Apply:** https://jobs.diversity.com/career/2531663/data-engineer-washington-wa-bellevue

## About the Role

* Experience in Synapase with pyspark
 * Knowledge of Big Data pipelinesData Engineering
 * Working Knowledge on MSBI stack on Azure
 * Working Knowledge on Azure Data factory Azure Data Lake and Azure Data lake storage
 * Hands on in Visualization like PowerBI
 * Implement end to end data pipelines using cosmosAzure Data factory
 * Should have good analytical thinking and Problem solving
 * Good communication and coordination skills
 * Able to work as Individual contributor, Mandatory Skills : Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory,Azure Functions,Azure SQL,Azure Synapse Analytics,AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight
Good to Have Skills : Python, Azure BLOB, Azure Data Factory, AZURE DATA LAKE

Required Skills : PowerBI

## Description

* Create Maintain and Enhance Big Data Pipeline
 * Daily status reporting interacting with Leads
 * Version controlADOGIT CICD
 * Marketing Campaign experiences
 * Data Platform Product telemetry Analytical thinking
 * Data Validation of the new streams
 * Data quality check of the new streams
 * Monitoring of data pipeline created in Azure Data factory
 * updating the Tech spec and wiki page for each implementation of pipeline
 * Updating ADO on daily basis