Data Engineer — ETL, Data Warehouse & Analytics

Fusion Medical Staffing, LLC; Northern (KY); Hybrid; USD 105,000 - 115,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

Health Savings Account

Paid time off

401(k) with company match

Profit sharing

In-office setup for home work

Wellness reimbursement

Employee Assistance Program

Job summary

Fusion Medical Staffing in Elkhorn, NE seeks a Data Engineer to design and maintain the Enterprise Data Warehouse and related databases. You will build data integration pipelines, develop SQL queries, and ensure data integrity for BI, analytics, and ML/AI workflows.

You will monitor performance, apply patches, and collaborate with the Data Strategy & Services team to implement secure, scalable data architectures in a local office setting.

Qualifications

• Bachelor's degree in Applied Mathematics, Economics, Physics, Computer Science or related field required.
• 4+ years designing, developing, and maintaining data integration pipelines.
• 4+ years developing data warehousing components and automation/scheduling.
• 4+ years managing large datasets and performing BI analyses.

Responsibilities

• Design and build data integration systems, services, and pipelines.
• Develop and maintain automated ETL/ELT processes and schedules.
• Create and optimize SQL queries, reports, and business applications.
• Architect secure, scalable, high-availability data stores and testing strategies.
• Ensure data quality, privacy compliance, and support ML/AI activities.

Skills

SQL

ETL/ELT

Data pipelines

Data warehousing

Performance tuning

Data security

Cloud architecture

Application deployment concepts

Education

Bachelor's degree in related field

Tools

Fivetran

Snowflake

Azure SQL

Job description

Fusion Medical Staffing in Elkhorn, NE seeks a Data Engineer to design and maintain the Enterprise Data Warehouse and related databases. You will build data integration pipelines, develop SQL queries, and ensure data integrity for BI, analytics, and ML/AI workflows.

You will monitor performance, apply patches, and collaborate with the Data Strategy & Services team to implement secure, scalable data architectures in a local office setting.