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# Software Engineer

- **Company:** Macpower Digital Assets Edge LLC
- **Location:** Mountain View, CA, United States
- **Salary:** $95,202.0 - $114,254.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Confluence, JIRA, Information Engineering, Extract Transform Load (ETL), Data Visualization, DevOps, Java Development Kit, Python (Programming Language), Software Engineering, SQL Databases, Apache Spark, Slack, Data Pipelines, Databricks
- **Published:** October 31, 2026
- **Apply:** https://www.juju.com/job/16_aa65f181

## About the Role

* Proven experience developing AI/BI dashboards using Databricks.
 * Proficiency in SQL, Python, and Spark for data engineering tasks.
 * Knowledge of data pipeline design, implementation, and maintenance.
 * Ability to work both independently and collaboratively across teams.
 * Strong analytical and problem-solving abilities.
 * Familiarity with project management tools such as Jira, Confluence, and Slack.

## Description

* Collaborate with the Technical Lead (TL) to understand ongoing migration and transformation initiatives.
 * Provide hands-on technical support and troubleshooting as needed.
 * Assist in documenting migration processes and establishing best practices.
 * Help transition legacy release pipelines to new RPCFG configurations.
 * Support JDK migration efforts to ensure seamless transitions with minimal downtime.
 * Conduct testing and validation to confirm successful migrations.
 * Work with cross-functional teams, including Data Engineering, DevOps, and Software Development.
 * Provide weekly status updates, lead knowledge-sharing sessions, and document key findings to strengthen team capabilities., * Develop and enhance AI/BI dashboards on the Databricks platform.
 * Design and implement data visualization solutions to support BI reporting.
 * Perform data engineering tasks, including creating, maintaining, and optimizing pipelines.
 * Improve existing ETL processes for scalability and efficiency.
 * Ensure data accuracy and integrity through collaboration with internal teams.
 * Provide documentation and lead knowledge transfer sessions for deployed solutions.
 * Deliver weekly status reports and create clear SOPs and documentation for implemented dashboards.