Senior Data Engineer (Contract)

UCLA Outpatient Clinics; Los Angeles (CA); Hybrid; USD 102,000 - 228,000; Full time

Job summary

Join a forward-thinking organization as a Data Engineer, where you will play a crucial role in advancing health informatics and analytics. This innovative position involves designing and developing large-scale data processing pipelines, optimizing data systems, and collaborating with cross-functional teams to enhance data usability and performance. You will contribute to building a robust Data Platform that supports transformative healthcare solutions, ensuring data integrity and security while fostering a culture of continuous improvement. If you're passionate about leveraging Big Data to make a significant impact in healthcare, this opportunity is for you.

Qualifications

• Strong expertise in data-based systems for data acquisition and storage.
• Proven ability to design and optimize data processing pipelines.

Responsibilities

• Design and implement data infrastructure for analytics and reporting.
• Build scalable data pipelines for AI and ML use cases.

Skills

Data Engineering

Data Architecture

Machine Learning

Big Data

Data Pipeline Development

Data Curation

Data Quality Metrics

Cross-Functional Collaboration

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in Data Science or related field

Tools

Apache Spark

SQL

Python

Data Warehousing Tools

Job description

Description

As aData Engineeron the Data Architecture team, you will play a pivotal role in advancing health informatics and analytics in the health sciences. Your efforts will focus on enhancing the usability, performance, and architecture of the Data Infrastructure. You will design and develop reliable, large-scale data processing pipelines, foundational architectural components, reusable frameworks, and data models to support enterprise-level data ecosystems such as Data Warehouses, Data Lakes, Feature Stores, and Machine Learning Platforms.

This role demands strong technical expertise in planning, designing, developing, implementing, and managing data-based systems to acquire, prepare, store, and make data and metadata accessible. You will optimize and maintain these systems, migrate data as needed, and ensure the integrity and completeness of both data and workflows. Responsibilities include managing data practices, databases, and information systems, as well as creating guidelines, dictionaries, registries, and services. The role may involve interpreting scientific research data, mediating across science and technology domains, and contributing to long-term data stewardship.

As an information architect and data steward, you will design systems, data products, and data production processes, with a strong emphasis on data curation, exchange, security, and integrity. You will also evaluate and refine frameworks, strategies, and standards. This work may include contributions to project-level repositories, centers, or archives.

This is an exciting opportunity to be part of the team building UCLA Health’s Data Platform and products. You will contribute to innovative solutions and cutting-edge analytics for one of the nation’s leading healthcare organizations, using Big Data as a foundation for transformative impact.

Key Responsibilities:

• Design and implement foundational data infrastructure to support the reporting, analytics, and data science needs of UCLA Health.
• Build data pipelines, training datasets, and inference datasets to enable AI, Machine Learning (ML), and Generative AI use cases.
• Develop efficient, scalable, and resilient pipelines to ingest data from multiple external sources.
• Create Data Architecture artifacts, including documentation, data quality metrics, logs, and observability tools for pipelines.
• Collaborate with cross-functional teams, including product management, analysts, and business stakeholders, to deliver scalable and usable datasets.
• Lead high-priority projects by formulating strategies and overseeing policies, processes, and resources.
• Elevate the technical expertise of the team through training, workshops, and presentations, fostering a culture of continuous improvement.
• Represent the Data Architecture team in cross-functional meetings to assess data needs and propose innovative design solutions.
• Work closely with the Manager of Data Architecture to develop and execute the technical and growth roadmap for the team.
• Establish and maintain information documentation standards, such as data naming conventions and value domain descriptions.

This flexible hybrid role allows for a blend of remote and on-site work, requiring presence on-site at least once a month or as needed based on operational requirements. Please note, travel to the “home office” location is not reimbursed. Each employee will complete a FlexWork Agreement with their manager to outline expectations and ensure mutual understanding. These arrangements are periodically reviewed and may be adjusted or terminated as necessary.

Salary offers are based on a variety of factors including qualifications, experience, and internal equity. The full salary range for this position is $102,500 - 227,700 annually. The University anticipates offering a salary between the minimum and midpoint of this range.

This is a three year contract. Contract appointments may convert to Career appointments.