Senior Data Engineer — United States — LinkedIn — 4489356572
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About Our Client:
The organization operates in the healthcare staffing industry, focusing on connecting physicians with patients through a locum tenens staffing model. Founded in 1979, it is the largest physician staffing firm in the United States, with its providers delivering care to millions of patients annually. The sector is experiencing growth and high demand, offering opportunities for career development within the company.
About the Opportunity:
The SENIOR DATA ENGINEER role is responsible for designing and building data pipelines and models that enable business partners to make informed decisions. This position leads technical projects, mentors other engineers, and contributes to shaping the organization's enterprise data strategy. The role significantly impacts how data insights support sales and other business functions.
Responsibilities:
• Contribute to enterprise data strategy alongside leadership and architects
• Design, develop, and deploy complex ETL/ELT solutions with a focus on performance and data quality
• Lead technical projects independently from design through delivery
• Serve as a resource for data modeling, pipeline design, and performance optimization
• Evaluate and recommend new tools to enhance platform capabilities
• Collaborate with stakeholders across departments to align data solutions with business goals
• Mentor and coach other data engineers
• Establish and maintain coding standards, testing methods, and documentation
• Partner with product and project management to estimate work and deliver in an agile environment
Requirements:
• Advanced knowledge of logical and physical data models, including Kimball methodology
• Experience maintaining and developing data pipelines and models with attention to performance
• Ability to ensure data quality through thorough self-testing
• Strong problem-solving skills and ability to make technical decisions independently
• Experience mentoring others and openness to feedback
• Clear communication skills for technical and non-technical audiences
• Ability to work independently and as part of a team, including participation in on-call rotations
• 6+ years of experience in data analysis and building ELT/ETL solutions
• 5+ years of experience with ETL/ELT and cloud data warehousing tools, with preference for Snowflake and dbt
• 5+ years of SQL experience with complex queries and performance tuning
• Experience integrating reporting databases and processing data from various platforms
• Experience with software design practices and data-driven reporting applications
• Experience leading technical projects and mentoring engineers
• Bachelor's degree or equivalent experience in a technical field
Preferred:
• Experience building data pipelines using Python
• Experience with Dagster as an orchestration tool
• Experience working with semantic or metric layers
• Experience developing Tableau extracts, dashboards, and enabling self-service analytics
Pay Range and Compensation Package:
• The pay range for this role is $116,500 to $225,300 annually, varying by location and candidate qualifications
Benefits & Perks:
• 401(k) retirement plan with company match
• Medical and dental insurance
• Onsite health centers, corporate wellness programs, and free behavioral health appointments
• Flexible work schedules including work-from-home options
• Recognition programs with rewards such as trips, cash, and paid time off
• Paid parental leave, fertility coverage, adoption assistance, and marriage counseling
• Free LinkedIn learning courses
• Volunteer time off and employee-driven matching grants
• Tuition reimbursement programs
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
WYqWrtcCB is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.