Data Engineer

Job Title: Data Engineer 
Location: Irvine, CA (Onsite for the first 90 days, then Hybrid)
Duration: Direct-Hire Opportunity

Position Summary
We are looking for a Data Engineer who is hands-on, collaborative, and experienced with Microsoft SQL Server, Snowflake, AWS RDS, and MySQL. The ideal candidate has a strong background in data warehousing, data lakes, ETL pipelines, and business intelligence tools.
This role plays a key part in executing data strategy — driving optimization, reliability, and scalable BI capabilities across the organization. It’s an excellent opportunity for a data professional who wants to influence architectural direction, contribute technical expertise, and grow within a data-driven company focused on innovation.
 Key Responsibilities

• Design, develop, and maintain SQL Server and Snowflake data warehouses and data lakes, focusing on performance, governance, and security.
• Manage and optimize database solutions within Snowflake, SQL Server, MySQL, and AWS RDS.
• Build and enhance ETL pipelines using tools such as Snowpipe, DBT, Boomi, SSIS, and Azure Data Factory.
• Utilize data tools such as SSMS, Profiler, Query Store, and Redgate for performance tuning and troubleshooting.
• Perform database administration tasks, including backup, restore, and monitoring.
• Collaborate with Business Intelligence Developers and Business Analysts on enterprise data projects.
• Ensure database integrity, compliance, and adherence to best practices in data security.
• Configure and manage data integration and BI tools such as Power BI, Tableau, Power Automate, and scripting languages (Python, R).

Qualifications

• Proficiency with Microsoft SQL Server, including advanced T-SQL development and optimization.
• 7+ years working as a SQL Server Developer/Administrator, with experience in relational and object-oriented databases.
• 2+ years of experience with Snowflake data warehouse and data lake solutions.
• Experience developing pipelines and reporting solutions using Power BI, SSRS, SSIS, Azure Data Factory, or DBT.
• Scripting and automation experience using Python, PowerShell, or R.
• Familiarity with data integration and analytics tools such as Boomi, Redshift, or Databricks (a plus).
• Excellent communication, problem-solving, and organizational skills.
• Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.

Technical Skills

• SQL Server / Snowflake / MySQL / AWS RDS
• ETL Development (Snowpipe, SSIS, Azure Data Factory, DBT)
• BI Tools (Power BI, Tableau)
• Python, R, PowerShell
• Data Governance & Security Best Practices

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.