Vaco by Highspring
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.
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.