AI Data Engineer

Reveille Technologies is seeking a highly experienced and skilled Data Engineer with exceptional expertise in Power BI to join our team in Santa Clara, CA. This contract position requires a seasoned professional who can proficiently design, develop, and maintain robust data solutions while transforming complex data into insightful visualizations. As a key Data Engineer, you will play a crucial role in building scalable data pipelines and delivering impactful business intelligence.

We are looking for a candidate with a strong background in data engineering, particularly with Pyspark, Python, and modern data warehousing solutions like Snowflake or Databricks. Your ability to create compelling dashboards and reports using Power BI will be essential in driving data-informed decisions for our clients. This is a challenging yet rewarding opportunity for a dedicated Data Engineer to contribute significantly to critical data initiatives.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines and ETL processes using Python and Pyspark.
• Integrate data from diverse sources into data warehouses, ensuring data quality and integrity.
• Develop, implement, and maintain high-performance data models and schema designs within platforms like Snowflake or Databricks.
• Create advanced and interactive dashboards, reports, and data visualizations using Power BI.
• Collaborate closely with business stakeholders to gather requirements, define KPIs, and translate them into technical specifications.
• Monitor, troubleshoot, and optimize data infrastructure and reporting solutions for efficiency and reliability.
• Ensure the security and governance of data assets in compliance with organizational policies.
• Provide technical guidance and best practices for data engineering and business intelligence solutions.

Requirements

• Minimum of 12 years of professional experience in data engineering, data warehousing, or a similar analytics-focused role.
• Demonstrable expertise in Python and Pyspark for data manipulation, scripting, and processing large datasets.
• Extensive hands-on experience with cloud-based data warehousing platforms such as Snowflake or Databricks.
• Proven track record in developing and deploying complex business intelligence solutions and interactive dashboards using Power BI.
• Solid understanding of SQL for data extraction, transformation, and loading.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Ability to work effectively in an onsite, collaborative team environment.
• Excellent communication skills to articulate technical concepts to both technical and non-technical audiences.

What We Offer

• Opportunity to work on cutting-edge data engineering challenges and impactful projects.
• Collaborative and dynamic work environment at the forefront of data technology.
• Engage with modern data stacks and contribute to significant business intelligence initiatives.
• Competitive compensation for a skilled Data Engineer.
• Exposure to a diverse range of industries and data problems.