Data Engineer

• Design and develop data integration systems, services, and pipelines
• Design and maintain automated systems that move data from source locations to target storage systems.
• Extract raw data, transform it into usable formats by cleaning and filtering, and load it into data warehouses and lakes.
• Troubleshoot and optimize broken or misconfigured SQL queries
• Maintain readiness to address ETL pipeline breaks or other data latency issues
• Develop SQL queries in the creation of business applications and SQL reports from corporate data sources.
• Architect and build secure, scalable, and high availability databases and testing strategies to ensure integrity and security.
• Monitor database performance, implement changes and apply new patches and versions when required
• Construct data platform schedules using orchestration and automation techniques
• Maintain and enhance data platform architecture processes
• Construct refined (warehouse) datasets used for operational reporting, analytics, and ML/AI activities
• Identify and recommend solutions to improve data reliability and readiness
• Contribute to the ongoing evolution of the data platform architecture
• Apply rules and protocols to protect sensitive information and comply with privacy regulations.
• Define data use processes, Determine, enforce and document database policies, best practices, service level agreements, procedures and standards
• Recommends solutions by diagnosing and defining database physical structure and functional capabilities, and implementing database security, data back-up, and recovery specifications.
• Prepare and maintain data for ML/AI activities
• Conduct data research for new business intelligence
• Recommend solutions to leverage ML/AI for business automation, Local - position has in-office requirements Monday through Friday and would require employee to live in the local area.

Physical Demands

• Employee is regularly required to talk and hear
• Constantly operates a computer and other office equipment, such as a phone, headset, calculator, copier, and printer
• The person in this position may need to occasionally move about inside the office to access files, computer equipment, copier, etc.

• Proficiency in English language (oral and written)
• Excellent communication and people skills
• Detail oriented
• Humble, Driven, Positive
• Strong organizational and time management skills
• Computer skills
• Exhibit a high level of personal accountability
• Results driven mentality
• Advanced proficiency in SQL - Microsoft
• Advanced proficiency in ETL and ELT approaches - Fivetran
• Intermediate proficiency of data visualization techniques
• Intermediate proficiency with data orchestration and automation
• Intermediate understanding of probability and statistics
• Advanced understanding of database management concepts - Snowflake/Azure SQL
• Intermediate proficiency in application deployment concepts
• Critical thinking
• Intermediate understanding of cloud data architectures
• Intermediate proficiency in application deployment concepts, * Bachelor’s degree in Applied Mathematics, Economics, Physics, Computer Science or related field
• 4+ Years experience designing, developing, and maintaining data integration pipelines
• 4+ Years experience developing data warehousing components (data objects, procedures, automation/scheduling)
• 4+ Years experience developing data integration for diverse sources
• 4+ Years experience managing large datasets from multiple sources to create usable datasets
• 4+ Years experience running complex analyses to define business intelligence
• 4+ Years experience running experiments with data - simulation, neural sets, scenario analysis, etc.
• Designing, developing, and maintaining data integration pipelines
• Developing data warehousing components (data objects, procedures, automation/scheduling, et al)
• Developing data integration for diverse sources
• Managing large datasets from multiple sources to create usable datasets
• Running complex analyses to define business intelligence
• Running experiments with data - simulation, neural nets, scenario analysis, etc.

Preferred Education and Experience

• Experience creating cloud-based data platforms designed for analytical performance
• Experience visualizing data for determining model variance, risk, performance, etc.
• Experience using API endpoints for data integration
• Experience utilizing LLM core concepts and approaches
• Experience utilizing AI core concepts and approaches
• Demonstrated experience with digital analytics and reporting tools
• Master’s of Applied Mathematics, Economics, Physics, Computer Science or related field
• Creating cloud-based data platforms designed for analytical performance
• Visualizing data for determining model variance, risk, performance, etc.
• Using API endpoints for data integration
• Database Administration (DBA) including index maintenance, performance troubleshooting, and architectural change consulting.

• BEST IN CLASS - Medical, dental and vision insurance to keep you and your family healthy
• Funding into Health Savings Accounts
• Paid time off for medical and parental leave
• Support for family planning, including adoption and surrogacy assistance
• Competitive 401(k) retirement plan with company match
• Company paid Short Term Disability/Long Time Disability and Life Insurance
• Honor Paid Time Off - blended vacation and sick time to allow for flexible time-off
• Fusion Profit Sharing incentive
• In-office work schedule with computer equipment set up for home
• Reimbursement for wellness items and activities
• Learning and development reimbursement
• Employee Assistance Program (Employer paid)
• Company events
• Volunteer and Community Engagement opportunities
• Paid company holidays: New Year’s Day, Memorial Day, Independence Day, Labor Day, Thanksgiving, Black Friday, Christmas Eve (noon dismissal), and Christmas Day

Compensation

105,000-115,000 Base Annual Salary 10% Profit Sharing

Exact compensation may vary based on skills and experience

Fusion Medical Staffing is an equal opportunity employer EOE/E-Verify Employer.