Data Engineer

Vaco by Highspring; Michigan; On-site; USD 96,432 - 110,208; Part time

Benefits offered by this job

Discretionary bonuses

Medical benefits

401(k) retirement plan

Job summary

A leading staffing firm in Michigan is seeking a Snowflake Data Engineer for a contract role. The ideal candidate will have over 5 years of experience in data engineering and expertise in Snowflake implementations. Responsibilities include leading data migration efforts and building ELT pipelines. Competitive pay ranges from $70.00/hr to $80.00/hr, along with bonus and benefit participation.

Qualifications

• 5+ years of professional experience in data engineering.
• Hands-on Snowflake implementation and/or migration experience.
• Advanced SQL and data modeling expertise.

Responsibilities

• Lead Snowflake implementation efforts, including data migration and integration.
• Design, build, and maintain scalable ELT pipelines.
• Develop and optimize SQL queries and data models.

Skills

Snowflake implementation

Data engineering

Advanced SQL

Python scripting

Job description

This range is provided by Vaco by Highspring. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $80.00/hr

Snowflake Data Engineer

Seeking a Snowflake 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
• 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 GCP)

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.

Seniority level

• Mid‑Senior level

Employment type

• Contract

Job function

• Insurance