Data Engineer

Data Engineer

The Data Engineer is responsible for designing, developing, and maintaining saleable data pipelines and architecture to support the client's business intelligence, analytics, and operational data needs. This position performs all duties and responsibilities in accordance with the Mission, Vision, and Core Values of Cayuse.

Responsibilities

• Assess feasibility and technical requirements for data integration.
• Collaborate with various programs on data specifications and recurring ingestion pipelines.
• Build and optimize ETL workflows for datasets.
• Design scalable data workflows to improve data quality, integrity, and identity resolution.
• Implement data governance, observability, and lineage tracking across all pipelines.
• Mentor engineers, support testing, and enforce best practices in orchestration and architecture.
• Document and communicate technical solutions to technical and non-technical stakeholders.
• Other duties as assigned.

Qualifications

Here's What You Need:

• 3 years of experience in data engineering and/or data architecture.
• 2 years of experience with Python for ETL and automation.
• 2 years hands-on experience with SQL queries, stored procedures.
• 1 year experience with ETL orchestration tools.
• Must be able to pass a background check.

Minimum Skills:

• Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner.
• Exceptional verbal and written communication skills.
• Excellent organizational, analytical, and problem-solving skills with high-level attention to detail.
• Proven ability to multitask and prioritize in a fast past environment with changing priorities.
• Must be self-motivated and able to work well independently as well as on a multi-functional team.
• Ability to handle sensitive and confidential information appropriately.
• Proficient in MS Office, Word, Outlook, PowerPoint, and Excel.

Desired Qualifications

• 5+ years of experience in data engineering roles.
• Experience integrating or developing REST/JSON or XML APIs.
• Familiarity with CI/CD pipelines.
• Exposure to Infrastructure as Code experience.
• Experience with data governance and metadata tools.
• Public health/healthcare dataset or similar experience.
• Familiarity with SAS and R workflows.
• Experience with additional SQL platforms.
• Familiarity with data quality frameworks.
• Experience with real-time/streaming tools.
• Familiarity with big data frameworks.
• Knowledge of data security and compliance frameworks.
• Agile/SCRUM team experience.

Our Commitment to You / Overview of Benefits

Medical, Dental and Vision Insurance; Wellness Program; Flexible Spending Accounts; Short-Term and Long-Term Disability options; Basic Life and AD&D Insurance; Voluntary Life and AD&D options; 401(k) Retirement Savings Plan with matching after one year; Paid Time Off.

Reports to: Program Manager

Working Conditions:

• Professional office environment.
• Must be physically and mentally able to perform duties.
• Ability to use a computer and other office productivity tools.
• Must be able to establish a productive and professional workspace.
• Must be able to sit for long periods of time looking at computer screen.
• May be asked to work a flexible schedule.
• May be asked to travel for business or professional development purposes.
• May be asked to work hours outside of normal business hours.

Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities.

Pay Range USD $93,600.00 - USD $119,800.00 /Yr.