Data Engineer

Position Title: Data Engineering Lead Department: Data Science & Analytics Reports To: Data Science & Analytics Leadership Contract Length: ~6 months Bill Rate: TBD please get a strong lockdown and understand where their flexibility is The Lead, Data Architecture & Engineering plays a critical leadership role in designing, optimizing, and maintaining SLCC’s enterprise data infrastructure. As a core pillar of the DSA data infrastructure, this role ensures the college’s data environment is resilient, scalable, and primed for trustworthy reporting and analytics. This individual leads the technical vision and hands-on development of SLCC’s data warehouse and data pipelines, while partnering closely with peers across data governance, official reporting, and decision support to enable timely, accurate, and actionable insights. The role requires technical excellence, collaborative leadership, and a deep understanding of the unique data needs in higher education. Knowledge, Skills, and Abilities: • Deep expertise in data architecture, warehouse modeling (e.g., star schema), and pipeline orchestration. • Advanced proficiency in SQL, Python, and tools such as Wherescape, Airflow, and Git. • Familiarity with SLCC’s current technology stack: Oracle 19c, Cognos, Tableau, AWS/GCP. • Experience embedding QA and validation logic in data pipelines. • Strong systems thinking to link architecture with reporting, compliance, and user needs. • Outstanding communication skills to translate complex architectures for varied stakeholders. • Ability to mentor and manage junior engineers; lead technical code reviews and design sessions. • Ability to work and collaborate with individuals with diverse backgrounds, knowledge, and skills. Minimum Qualifications: • Bachelor’s degree in Computer Science, Data Engineering, or related technical field. • 5+ years of experience in data engineering, analytics infrastructure, or similar role. • Experience with WhereScapre Red or similar tools ex.) Aireflow, Snowflake, other modern tools • Experience in a data warehouse with data integration tools. • Proficiency with database modeling. Preferred Qualifications: • Master’s degree in a related field. • Experience in higher education data systems (e.g., Banner). • Familiarity with federal and state reporting standards in higher education (e.g., USHE). • Experience with on-prem to cloud planning or hybrid data architecture design. Compensation: $45/hr to $50/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.