UCLA Health
Data Engineer (Flex Hybrid)
UCLA Health, Los Angeles, California, United States, 90079
Description
As a Data
Engineer on the Data Architecture team, you will play a key role in
technology initiatives to advance health informatics and analytics in the
health sciences by advancing the usability, performance, and overall
architecture of the Data Infrastructure.
You will develop reliable, and large-scale data processing pipelines, Foundational architectural
components, reusable frameworks, and Data Models to support Enterprise Data
warehouse, Data Lakes, Feature Stores and Machine Learning Platform.
Involves technical acumen for planning, designing, developing, implementing,
and administering data-based systems that acquire, prepare, store, and
provide access to data and metadata. Maintains and optimizes systems and
migrates data and systems as needed. Ensures integrity and completeness of
data and workflow, manages and / or develops data practices, databases, and
information systems as well as guidelines, dictionaries, registries and / or
services. May include interpretation of scientific research data artifacts as
well as mediation across science and technology domains and long-term data
care. As information architect and data steward, designs systems, data
products and / or data production processes while focusing on data curation,
data exchange, data security, data integrity and information environments.
(Re)evaluates frameworks, strategies, standards, and standards-making
activities. May involve work with a project-level data repository, a center,
or an archive.
You will be
part of the team building UCLA Health's Data Platform and products and is a
unique opportunity to be part of advancing analytics for one of the nation's
leading Healthcare organizations where Big Data will be used as a platform to
build solutions.
This is a flex-hybrid role which will require you to be onsite at least once a month. Please note that there are no reimbursements for travel to "home office" location.
Each employee must complete a FlexWork Agreement with their manager which will outline arrangement parameters and aids both parties in fully understanding expectations. Arrangements are regularly evaluated, and are subject to termination.
Salary offers are determined based on various factors including, but not limited to, qualifications, experience, and equity. The full salary range for this position is $95,900 - $222,100 annually. The budgeted salary or hourly range that the University reasonably expects to pay for this position is approximately between the minimum and midpoint.
Qualifications
Minimum five years of software development experience.
2+ years experience on the data or backend systems side of the software development.
Strong industry experience in programming languages such as Python with the ability to pick up new languages and technologies quickly.
Experience with Orchestration tools like Airflow is required.
Strong experience with Relational databases like SQL Server or Oracle is required.
Strong background in Data warehousing and ETL principles, architecture, and its implementation in large environments.
Experience working with Machine Learning Systems like Databricks, Feature Stores, MLOps is preferred.
Working knowledge on leading cloud platforms like Azure, AWS, GCP; Microsoft Azure experience is preferred.
Bachelor's degree in computer science, Computer Engineering, or related field from an accredited college or university
Master's Degree preferred.
UCLA Health welcomes all individuals, without regard to race, sex, sexual orientation, gender identity, religion, national origin or disabilities, and we proudly look to each person’s unique achievements and experiences to further set us apart.
As a Data
Engineer on the Data Architecture team, you will play a key role in
technology initiatives to advance health informatics and analytics in the
health sciences by advancing the usability, performance, and overall
architecture of the Data Infrastructure.
You will develop reliable, and large-scale data processing pipelines, Foundational architectural
components, reusable frameworks, and Data Models to support Enterprise Data
warehouse, Data Lakes, Feature Stores and Machine Learning Platform.
Involves technical acumen for planning, designing, developing, implementing,
and administering data-based systems that acquire, prepare, store, and
provide access to data and metadata. Maintains and optimizes systems and
migrates data and systems as needed. Ensures integrity and completeness of
data and workflow, manages and / or develops data practices, databases, and
information systems as well as guidelines, dictionaries, registries and / or
services. May include interpretation of scientific research data artifacts as
well as mediation across science and technology domains and long-term data
care. As information architect and data steward, designs systems, data
products and / or data production processes while focusing on data curation,
data exchange, data security, data integrity and information environments.
(Re)evaluates frameworks, strategies, standards, and standards-making
activities. May involve work with a project-level data repository, a center,
or an archive.
You will be
part of the team building UCLA Health's Data Platform and products and is a
unique opportunity to be part of advancing analytics for one of the nation's
leading Healthcare organizations where Big Data will be used as a platform to
build solutions.
This is a flex-hybrid role which will require you to be onsite at least once a month. Please note that there are no reimbursements for travel to "home office" location.
Each employee must complete a FlexWork Agreement with their manager which will outline arrangement parameters and aids both parties in fully understanding expectations. Arrangements are regularly evaluated, and are subject to termination.
Salary offers are determined based on various factors including, but not limited to, qualifications, experience, and equity. The full salary range for this position is $95,900 - $222,100 annually. The budgeted salary or hourly range that the University reasonably expects to pay for this position is approximately between the minimum and midpoint.
Qualifications
Minimum five years of software development experience.
2+ years experience on the data or backend systems side of the software development.
Strong industry experience in programming languages such as Python with the ability to pick up new languages and technologies quickly.
Experience with Orchestration tools like Airflow is required.
Strong experience with Relational databases like SQL Server or Oracle is required.
Strong background in Data warehousing and ETL principles, architecture, and its implementation in large environments.
Experience working with Machine Learning Systems like Databricks, Feature Stores, MLOps is preferred.
Working knowledge on leading cloud platforms like Azure, AWS, GCP; Microsoft Azure experience is preferred.
Bachelor's degree in computer science, Computer Engineering, or related field from an accredited college or university
Master's Degree preferred.
UCLA Health welcomes all individuals, without regard to race, sex, sexual orientation, gender identity, religion, national origin or disabilities, and we proudly look to each person’s unique achievements and experiences to further set us apart.