What are the responsibilities and job description for the Data Engineer position at Vaco by Highspring?
Job Details
Data Engineer
100% Onsite in Washtenaw County, Michigan
40 hour Fulltime / $70 – 80 hourly
We’re looking for a Data Engineer with 5 years of experience and proven expertise in Snowflake implementations, ELT pipeline development, and data system optimization.
Must Haves / Mandatory:
Nice to Have / Preferred:
Key Responsibilities & Qualifications:
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.
100% Onsite in Washtenaw County, Michigan
40 hour Fulltime / $70 – 80 hourly
We’re looking for a Data Engineer with 5 years of experience and proven expertise in Snowflake implementations, ELT pipeline development, and data system optimization.
Must Haves / Mandatory:
- 5 plus years of professional experience in data engineering
- Hands-on Snowflake implementation and / or migration experience
- Strong ELT development skills using modern tooling
- Advanced SQL and data modeling expertise with light Python scripting
Nice to Have / Preferred:
- Familiarity with data governance, compliance, or security frameworks
- Exposure to cloud platforms (AWS, Azure, or Google Cloud Platform)
Key Responsibilities & Qualifications:
- Lead Snowflake implementation efforts, including data migration, integration, and performance tuning across large-scale environments.
- Design, build, and maintain scalable ELT pipelines that integrate diverse data sources and support analytics and reporting needs.
- Develop and optimize SQL queries and data models to ensure high performance, reliability, and scalability.
- Use Python for automation and light scripting to streamline data workflows and support transformation logic.
- Collaborate with cross-functional teams to define data requirements, ensure data quality, and uphold compliance with institutional standards.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $70 - $80
