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Entry Level Data Analytics Engineer Jobs in California

Astrana Health

Analytics Engineer

Alhambra, CA · Remote

$115K - $130K/yr

We are currently seeking a highly motivated Healthcare Analytics Engineer I ... This role will work closely with data scientists, software engineers, data engineers, and clinical ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a ...

Pivotal Health

Analytics Engineer

Santa Monica, CA · On-site

$160K - $180K/yr

About the Role We're hiring a Data Engineer to sit at the intersection of our analytics and ... engineering teams. You'll be responsible for making Pivotal's product data accessible, reliable ...

Fresno State

Data Analytics Developer II

Fresno, CA

$6.49K - $9.46K/mo

Data Analytics Developer II Apply now Job no: 558037 Work type: Staff Location: Fresno Categories: Unit 9 - CSUEU - Technical Support Services, Probationary, Full Time, Information Systems ...

Kia America

Data & Analytics Specialist

Irvine, CA · On-site

Big Data owns enterprise data engineering, governed datasets, and shared platform capabilities (clusters/pipelines/tooling). * Collaborate with Big Data to deliver model outputs and analytical ...

Kia America

Data & Analytics Specialist

Irvine, CA

Big Data owns enterprise data engineering, governed datasets, and shared platform capabilities (clusters/pipelines/tooling). * Collaborate with Big Data to deliver model outputs and analytical ...

chemelex

Data Analytics Intern

Redwood City, CA · On-site

Partner with Operations and Engineering to quantify performance gaps and track improvements ... Currently pursuing a Bachelor's degree in Data Analytics, Statistics, Computer Science, Industrial ...

Chemelex

Data Analytics Intern

Redwood City, CA · On-site

$24/hr

We deliver future-ready technologies, advanced engineering capabilities and local expertise backed ... Support development of standardized data structures for reporting and analytics Dashboard ...

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Entry Level Data Analytics Engineer information

What are the key skills and qualifications needed to thrive as an Entry Level Data Analytics Engineer, and why are they important?

To thrive as an Entry Level Data Analytics Engineer, you need foundational knowledge in statistics, data analysis, and programming, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills ensure you can extract meaningful insights from data, support business decisions, and contribute to data-driven organizational goals.

What are some typical projects an Entry Level Data Analytics Engineer might work on during their first year?

As an Entry Level Data Analytics Engineer, you can expect to work on projects such as cleaning and organizing raw data, building basic data pipelines, and supporting senior engineers in developing dashboards or reports. You may also assist with troubleshooting data issues and automating repetitive tasks using scripts. These tasks help you gain hands-on experience with common tools and platforms, and provide exposure to teamwork and cross-functional collaboration with data analysts, business stakeholders, and IT teams.

What is an Entry Level Data Analytics Engineer?

An Entry Level Data Analytics Engineer is a professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with large datasets, utilize tools like SQL, Python, or Excel, and help build data pipelines and dashboards. At the entry level, they focus on supporting senior data engineers and analysts, learning best practices, and developing foundational technical skills. This role is ideal for recent graduates or those new to the field looking to gain experience in data engineering and analytics.
What are the most commonly searched types of Data Analytics Engineer jobs in California? The most popular types of Data Analytics Engineer jobs in California are:
What are popular job titles related to Entry Level Data Analytics Engineer jobs in California? For Entry Level Data Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analytics Engineer jobs in California look for? The top searched job categories for Entry Level Data Analytics Engineer jobs in California are:
What cities in California are hiring for Entry Level Data Analytics Engineer jobs? Cities in California with the most Entry Level Data Analytics Engineer job openings:
Entry Level Data Analytics Engineer jobs near you
Infographic showing various Entry Level Data Analytics Engineer job openings in California as of May 2026, with employment types broken down into 3% As Needed, 73% Full Time, 19% Part Time, and 5% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Analytics Engineer

Astrana Health

Alhambra, CA • Remote

$115K - $130K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are currently seeking a highly motivated Healthcare Analytics Engineer I. This role will work closely with data scientists, software engineers, data engineers, and clinical leaders to produce deliverables for internal and external clients. With over a million managed lives across the country and terabytes of data generated, our teams need to be continuously equipped with the tools and insights to drive strategy and innovation to further our core values of improving patient outcomes and empowering our providers.
Our Values: 
  • Put Patients First 
  • Empower Entrepreneurial Provider and Care Teams 
  • Operate with Integrity & Excellence 
  • Be Innovative 
  • Work As One Team 
  • Use best software engineering practices to implement quality measures, risk adjustment models, and other metrics for datasets originating from internal and external clients.
  • Develop high quality, maximally available data models which are intuitive to data analysts and trusted by stakeholders.
  • Maintain and enhance/upgrade the existing Risk Adjustment score calculator for generating RAF scores for the Medicare Advantage population.
  • Adept at building scalable data solutions and collaborating with downstream analysts to ensure clarity and usability of datasets related to Risk Adjustment, RAF scores, and HCC gap closure
  • Build scalable ELT pipelines and business intelligence dashboards as needed, embracing automation wherever possible. 
  • Acquire deep domain knowledge in healthcare operations and track regulatory developments related to analytical products you maintain.
  • Apply data quality checks which proactively identify data issues and distributional shifts to ensure accuracy of downstream analytical products.
  • With guidance, take ownership of one or several reporting domains, interfacing business stakeholders to understand and deliver their requests.
  • Bachelor's degree in computer science, data science, analytics, statistics, or related field; master's degree preferred. 
  • Expertise in Azure Databricks, PySpark, and SQL, specializing in Medicare Advantage Risk Adjustment and Quality Metrics
  • Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including documentation, coding standards, code reviews, source control management, build processes, testing, and operations. 
  • Experience in working with large datasets. 
  • Experience with cloud-computing platforms such as Azure. 
  • Experience working in the healthcare industry
  • Familiarity with database management systems such as MongoDB or Microsoft SQL Server.
  • Strong written and oral communication skills.
  • This position is remotely based in the U.S.
  • The total compensation target pay range for this role is: $115,000 - $130,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation.
Additional Information:
The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.
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