UCLA Health hiring Data Engineer (Flex Hybrid). in Los Angeles, CA | LinkedIn (2024)

UCLA Health hiring Data Engineer (Flex Hybrid). in Los Angeles, CA | LinkedIn (1)

Data Engineer (Flex Hybrid).

UCLA Health Los Angeles, CA

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UCLA Health Los Angeles, CA

1 month ago

UCLA Health hiring Data Engineer (Flex Hybrid). in Los Angeles, CA | LinkedIn (4) UCLA Health hiring Data Engineer (Flex Hybrid). in Los Angeles, CA | LinkedIn (5) UCLA Health hiring Data Engineer (Flex Hybrid). in Los Angeles, CA | LinkedIn (6)

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Base pay range

$95,900.00/yr - $222,100.00/yr

DescriptionAs 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 reimbursem*nts 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.

  • Seniority level

    Entry level
  • Employment type

    Full-time
  • Job function

    Information Technology
  • Industries

    Hospitals and Health Care

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UCLA Health hiring Data Engineer (Flex Hybrid). in Los Angeles, CA | LinkedIn (2024)

FAQs

What is a data engineer? ›

Data engineers are responsible for designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access. They are in charge of creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize.

How to hire a data engineer? ›

One of the most effective ways to hunt for talented Data Engineers is to make use of a hiring platform. By partnering with one of them, you will not only be able to ease your talent crunch, but also gain access to a huge network of highly-qualified Data Engineers.

What is a data engineer job description Linkedin? ›

Data engineers build an infrastructure to keep data organized. This IT role requires a significant set of technical skills, including a deep knowledge of SQL database design and multiple programming languages.

Do data engineers get paid well? ›

According to Glassdoor, data engineers often earn an annual salary of over $110,000 a year [1].

Is data engineer job stressful? ›

Is it stressful to work as a Data Engineer? Data Engineering can be demanding, as it often involves managing large datasets and ensuring the seamless flow of information. Regularly assessing the scalability of data systems and staying updated with technological advancements is crucial.

Are data engineers in high demand? ›

As companies increasingly rely on data to drive business decisions, skilled data engineers are in high demand across industries. With the right expertise, you can secure a rewarding career at the forefront of data management and analysis.

How many hours does a data engineer work? ›

Full-time Data Scientists usually work a standard 40-hour week but may sometimes exceed these hours, depending on company expectations and personal ambition. Academic or expert Data Scientists, who often juggle multiple roles, can expect to work more than 40 hours a week.

How hard is it to get a data engineer job? ›

Data engineering is a highly technical role. You need to have a strong grasp of computing, data handling, and, in certain cases, areas like cloud computing and machine learning. The key is to build a strong theoretical foundation and gain practical experience through personal projects, internships, and networking.

What is a data engineering salary? ›

Data Engineer salary in India ranges between ₹ 3.5 Lakhs to ₹ 20.9 Lakhs with an average annual salary of ₹ 10.8 Lakhs. Salary estimates are based on 40.7k latest salaries received from Data Engineers. Engineering - Software & QA. Data Engineer Salary.

What degree to be a data engineer? ›

Anyone who enters this field will need a bachelor's degree in computer science, software or computer engineering, applied math, physics, statistics, or a related field. You'll also need real-world experience, like internships, to even qualify for most entry-level positions.

How much does a validate health data engineer make? ›

What are Top 10 Highest Paying Cities for Healthcare Data Engineer Jobs
CityAnnual SalaryHourly Wage
Daly City, CA$159,929$76.89
Milpitas, CA$159,442$76.66
San Mateo, CA$154,931$74.49
Richmond, CA$153,608$73.85
6 more rows

What is the responsibility of a data engineer? ›

Data engineers aren't only responsible for building tools to access raw data, but also managing and organizing that data while keeping an eye out for trends or inconsistencies that could impact business goals.

Is data engineer a coding job? ›

Coding is a necessary skill for data engineers. They use it to develop data pipelines handling large amounts of data effectively. Data engineers mainly work with Python and SQL to manipulate data, create architectures, and support data science projects. Proficiency in coding is crucial for data engineers.

Is data engineer a hard career? ›

Simply put, hard work and dedication to the craft. I've seen a lot of fence-sitters and wafflers in my time. To get ahead in Data Engineering, you need nothing but single-minded determination for the projects you work on and your personal goals as a Data Engineer. There are no shortcuts to mastery.

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