Job Summary: | We are seeking a Senior Cloud Data Engineer to design, build, and scale our core data platform, including data warehouse and data lakehouse environments. This role is critical in establishing the foundation for reliable, secure, and high-performing data systems that enable analytics, applications, and strategic decision-making across the organization. This is a highly hands-on individual contributor role suited for someone who thrives in a fast-paced, evolving environment, is comfortable navigating ambiguity, and can take ownership of complex data challenges from design through implementation within a small, agile team. Key Responsibilities: 25%25 - Design, develop, and evolve cloud-based data warehouse and lakehouse architectures. 25%25 - Architect and implement scalable data pipelines and integration frameworks, core data integrations, ETL/ELT pipelines using Python and SQL across a wide range of data sources, including: Ingesting transactional data from PostgreSQL and other relational systems. Processing large-scale data exports & file-based ingestion (e.g., S3, Azure Blob, SFTP, etc.) and mastering data into unified analytical models. Supporting interoperability through healthcare integrations using FHIR protocols. Integrating specialized systems such as medical record curation platforms into centralized data environments. RESTful APIs. Application backends.
20%25 - Design and deliver data products, curated datasets, and analytical data models, transforming normalized (3NF) source data into performant, analytics-ready structures (e.g., star/snowflake schemas). 10%25 - Optimize storage and processing strategies within lakehouse environments (e.g., Parquet, partitioning, efficient query design). 5%25 - Establish and follow best practices for data quality, reliability, observability, and performance. 5%25 - Collaborate with stakeholders to define and deliver solutions in situations where requirements may be ambiguous, incomplete, or rapidly evolving. 5%25 - Contribute to and maintain CI/CD pipelines and DevOps practices for data engineering, including automation and deployment strategies. 5%25 - Participate in Agile workflows using Jira, contributing to backlog refinement, sprint planning, and delivery execution.
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Work Location: | Remote – this role is eligible to work remotely, but the employee must be in the United States. |
Why Join Us: | The Linda Crnic Institute for Down Syndrome (www.crnicinstitute.org) is the largest academic home for Down syndrome research. The Crnic Institute collaborates with prominent scientists and leaders around the globe to enable precision medicine approaches to improve health outcomes in Down syndrome. The Crnic Institute is seeking a detail-oriented, highly motivated, and enthusiastic full-time Senior Data Cloud Engineer to work as a member of our Information Technology team. Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package, including: Medical: Multiple plan options Dental: Multiple plan options Additional Insurance: Disability, Life, Vision Retirement 401(a) Plan: Employer contributes 10%25 of your gross pay Paid Time Off: Accruals over the year Vacation Days: 22/year (maximum accrual 352 hours) Sick Days: 15/year (unlimited maximum accrual) Holiday Days: 15/year Tuition Benefit: Employees have access to this benefit on all CU campuses ECO Pass: Reduced rate RTD Bus and light rail service
There are many additional perks & programs with the CU Advantage. |
Qualifications: | Minimum Qualifications: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience). 2 years’ professional data engineering experience, including designing analytical data models, developing Python‑based ETL/ELT pipelines, optimizing SQL across MSSQL/PostgreSQL, integrating diverse data sources (APIs, relational, file‑based), leveraging cloud compute services (Azure Functions, AWS Lambda), and collaborating in Agile environments with Git‑based version control.
Applicants must meet minimum qualifications at the time of hire. Preferred Qualifications: Experience developing cloud-based data engineering solutions using modern data platforms (e.g., Databricks, Snowflake, Azure Synapse). Experience designing scalable data pipelines, distributed data processing solutions, and data lake architectures using modern storage formats (e.g., Parquet). Experience implementing workflow orchestration, containerization, and CI/CD practices using tools such as Airflow, Prefect, Azure Data Factory, Docker, and GitHub Actions. Experience building data products that support analytics, reporting, data science, or operational applications. Experience working with healthcare data standards (e.g., FHIR, HL7) and regulated data environments. Experience working in a higher education or academic environment. Experience working with healthcare, clinical, or biomedical research data in a healthcare, academic medical center, or life sciences environment.
Conditions of Employment: Knowledge, Skills and Abilities: Advanced proficiency in SQL (Microsoft SQL Server and PostgreSQL) and Python for developing, optimizing, and maintaining cloud-based data pipelines, ETL/ELT workflows, and system integrations. Knowledge of analytical data modeling principles and experience designing scalable data warehouse and lakehouse architectures. Knowledge of cloud-native technologies and modern software engineering practices, including serverless computing, containerization, source control (Git), and CI/CD automation. Knowledge of cloud security principles and best practices for protecting sensitive and regulated data, including PHI, PII, encryption, identity and access management, and data governance. Ability to design, implement, and support secure, scalable, reliable, and maintainable cloud data solutions. Ability to work effectively in Agile environments, manage multiple priorities, and adapt to changing business and technical requirements. Strong written and verbal communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders and build productive working relationships across all organizational levels. Strong customer service orientation with a commitment to delivering high-quality solutions and responsive support.
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How to Apply: | For full consideration, please submit the following document(s): A letter of interest describing relevant job experiences as they relate to the listed job qualifications and interest in the position Curriculum vitae / Resume Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address
Questions should be directed to: Sydney Ashton, Sydney.ashton@cuanschutz.edu |
Screening of Applications Begins: | Immediately and continues for five (5) days from the posting date. |
Anticipated Pay Range: | The starting salary range (or hiring range) for this position has been established as $89,926 to $114,386. The above salary range (or hiring range) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans, and retirement contributions that add to your bottom line. Total Compensation Calculator |
Equal Employment Opportunity Statement: | CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. |
ADA Statement: | The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@cuanschutz.edu. |
Background Check Statement: | The University of Colorado Anschutz is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. |
Vaccination Statement: | CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine-preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety-sensitive job duties, you must enroll in the occupational health medical surveillance program. |
