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Data Analytics Engineer

Reads like a Data Engineer role: pipelines and data infrastructure.

Pay
Multiple pay statements — pay source
Classification: 0404 / Data Analytics Developer II / 1 The anticipated HIRING RANGE is $6492 – $7759 per month, dependent on qualifications and experience. The salary range for this classification is: $6492 - $9458 per month. HOURS: Full Time; 40 hours per week; Monday through Friday. May include evenings and weekends.
Read the full posting
Work setting
Working pattern needs review — work setting source
This is a Regular position with a one-year probationary period. The position is currently hybrid (3 days in office, 2 days remote); however, this is subject to change based on student and/or operational needs. General Information
Read the full posting
Employment
Not stated

Before you apply

Work authorization
Must already have the right to workCalifornia State University, Northridge (CSUN) is not currently sponsoring staff or management positions for H-1B employment visas

What you’ll work on

Full posting
  • Design, build, test, and maintain ETL/ELT data pipelines, APIs, and integrations

  • Add data validation, monitoring, logging, and reconciliation controls

  • Develop and maintain dashboards, reports, and certified datasets

  • Build data services used by workflow automation and AI-enabled solutions

  • Turn requirements into technical specs, data mappings, and test plans

From the employer’s posting
Designs, develops, tests, deploys, and maintains ETL/ELT data pipelines, APIs, integrations, scripts, and scheduled data processes.
Implements data validation, monitoring, logging, error handling, and reconciliation controls to improve accuracy, completeness, reliability, and recoverability.
Develops, enhances, and maintains dashboards, reports, visualizations, certified datasets, and related analytics solutions
Develops and supports data services and pipelines used by workflow automation, advanced analytics, and approved AI-enabled solutions.
Translates defined requirements into technical specifications, data mappings, process flows, test plans, and implementation tasks.

What you’ll bring

All qualifications

Core experience

  • Knowledge, Skills, & Abilities
  • 2026 will be considered in the initial review and review of applications will continue until the position is filled.
  • Ability to gather and translate data, reporting, integration, and automation requirements into technical specifications, mappings, process flows, test plans, and implementation tasks; evaluate emerging technologies, support advanced analytics and AI-enabled solutions, and produce clear technical documentation while applying established accessibility, security, privacy, architecture, and data governance standards.

Preferred experience

  • Experience with statistical analysis, predictive modeling, machine learning, or data science methods is desirable.
Qualification wording
Knowledge, Skills, & Abilities
Applications received through October 28. 2026 will be considered in the initial review and review of applications will continue until the position is filled.
Ability to gather and translate data, reporting, integration, and automation requirements into technical specifications, mappings, process flows, test plans, and implementation tasks; evaluate emerging technologies, support advanced analytics and AI-enabled solutions, and produce clear technical documentation while applying established accessibility, security, privacy, architecture, and data governance standards.
Experience with statistical analysis, predictive modeling, machine learning, or data science methods is desirable.
Education & alternatives
Qualifications - Equivalent to a bachelor's degree in a related field and two years of relevant experience; degree in Computer science, Data Analytics, Data Science, Information Systems or a related field is preferred. - Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown above may be substituted for the required education on a year-for-year basis.
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Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 20267 days ago
Recorded sightings
41
Last seen by us
Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 6 and day 54.

From 11,032 similar postings that came down. Coming down is not always a hire.

CSU is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

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  • Power BI
  • Tableau
Where the posting names them
- Implements data validation, monitoring, logging, error handling, and reconciliation controls to improve accuracy, completeness, reliability, and recoverability. - Develops, enhances, and maintains dashboards, reports, visualizations, certified datasets, and related analytics solutions using approved platforms such as Tableau, Power BI, and QuickSight. - Develops and supports data services and pipelines used by workflow automation, advanced analytics, and approved AI-enabled solutions.
- Strong analytical and technical problem-solving skills with the ability to troubleshoot data pipelines, integrations, performance issues, and data anomalies; implement data quality and governance controls; and collaborate effectively with technical and functional partners to coordinate dependencies and deliver data-driven solutions across systems and platforms. - Thorough knowledge of reporting and analytics principles, with demonstrated skill in developing dashboards, reports, visualizations, certified datasets, reporting structures, and semantic layers using platforms such as Tableau, Power BI, and QuickSight; ability to validate data, metrics, calculations, and outputs and resolve reporting accuracy, usability, and performance issues. - Ability to gather and translate data, reporting, integration, and automation requirements into technical specifications, mappings, process flows, test plans, and implementation tasks; evaluate emerging technologies, support advanced analytics and AI-enabled solutions, and produce clear technical documentation while applying established accessibility, security, privacy, architecture, and data governance standards.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Data Analytics Engineer

Apply now Job no: 562702
Work type: Staff
Location: Northridge
Categories: Unit 9 - CSUEU - Technical Support Services, Probationary, Full Time, Information Systems & Technology, Telecommute eligible (work onsite as scheduled and/or as requested and telecommute as scheduled)

CSUN strives to be a destination workplace, where everyone understands that they belong to a community that is vital in advancing student success and providing exemplary service to all stakeholders. We foster an environment of success, both for our students and our employees. We have a relentless passion for celebrating diversity, equity, and inclusion as well as being an employer of choice. You will also have the opportunity to realize your own personal goals and be recognized for the work you do, and enjoy the unique value the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun.

 

Major Duties

Under the operational direction of the Data & Analytics Lead and general guidance of the Technology Strategy Officer (TSO), the Data Analytics Engineer develops, implements, maintains, and supports data engineering, integration, reporting, and analytics solutions for academic and administrative operations. The incumbent designs, develops, tests, deploys, and maintains ETL/ELT data pipelines, APIs, integrations, scripts, and scheduled data processes; creates and maintains logical and physical data models, analytics-ready datasets, semantic structures, and data transformations for operational and analytical use.

  • Designs, develops, tests, deploys, and maintains ETL/ELT data pipelines, APIs, integrations, scripts, and scheduled data processes.
  • Implements data validation, monitoring, logging, error handling, and reconciliation controls to improve accuracy, completeness, reliability, and recoverability.
  • Develops, enhances, and maintains dashboards, reports, visualizations, certified datasets, and related analytics solutions using approved platforms such as Tableau, Power BI, and QuickSight.
  • Develops and supports data services and pipelines used by workflow automation, advanced analytics, and approved AI-enabled solutions.
  • Translates defined requirements into technical specifications, data mappings, process flows, test plans, and implementation tasks.
  • Performs other duties as assigned.

*NOTE: To view the full position description, including all of the required qualifications, copy and paste this link into your browser:  https://mycsun.box.com/s/bzxdb4zhc0mb9lcpv5x1ppaennjz2ali

 

Qualifications

  • Equivalent to a bachelor's degree in a related field and two years of relevant experience; degree in Computer science, Data Analytics, Data Science, Information Systems or a related field is preferred.
  • Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown above may be substituted for the required education on a year-for-year basis.
  • An advanced degree in a related field may be substituted for the required experience on a year-for-year basis.
  •  Experience with statistical analysis, predictive modeling, machine learning, or data science methods is desirable.

 

Knowledge, Skills, & Abilities

  • Comprehensive knowledge of data engineering principles and practices, including ETL/ELT pipelines, APIs, data modeling, data transformations, cloud and SaaS data environments, data warehouses, lakes, and lakehouse platforms, with demonstrated skill in developing scalable, reliable, and maintainable data solutions.
  • Strong analytical and technical problem-solving skills with the ability to troubleshoot data pipelines, integrations, performance issues, and data anomalies; implement data quality and governance controls; and collaborate effectively with technical and functional partners to coordinate dependencies and deliver data-driven solutions across systems and platforms.
  • Thorough knowledge of reporting and analytics principles, with demonstrated skill in developing dashboards, reports, visualizations, certified datasets, reporting structures, and semantic layers using platforms such as Tableau, Power BI, and QuickSight; ability to validate data, metrics, calculations, and outputs and resolve reporting accuracy, usability, and performance issues.
  • Ability to gather and translate data, reporting, integration, and automation requirements into technical specifications, mappings, process flows, test plans, and implementation tasks; evaluate emerging technologies, support advanced analytics and AI-enabled solutions, and produce clear technical documentation while applying established accessibility, security, privacy, architecture, and data governance standards.

 

Pay, Benefits, & Work Schedule

  • The university offers an excellent benefits package, including but not limited to: medical, dental, vision, retirement & savings, tuition waiver, and more.
  • Classification: 0404 / Data Analytics Developer II / 1
  • The anticipated HIRING RANGE is $6492 – $7759 per month, dependent on qualifications and experience. The salary range for this classification is: $6492 - $9458 per month.
  • HOURS: Full Time; 40 hours per week; Monday through Friday. May include evenings and weekends. 
  • This is a Regular position with a one-year probationary period. 
  • The position is currently hybrid (3 days in office, 2 days remote); however, this is subject to change based on student and/or operational needs.

 

General Information

  • Applications received through October 28. 2026 will be considered in the initial review and review of applications will continue until the position is filled.
  • This position is sensitive as designated by the CSU.  
  • A background check (including a criminal records check) must be completed satisfactorily. Failure to satisfactorily complete the background check may affect the application status of applicants or the continued employment of current CSU employees who apply for the position.
  • The person holding this position may be considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements outlined in CSU Executive Order 1083 as a condition of employment.
  • Per the California State University (CSU) Out-of-State Employment Policy, the CSU is a state entity whose business operations reside within the State of California and prohibits hiring employees to perform CSU-related work outside of California.
  • Please note: California State University, Northridge (CSUN) is not currently sponsoring staff or management positions for H-1B employment visas. Applicants must be authorized to work for any employer in the United States. Note that our campus does not participate in the federal E-Verify program. Employment eligibility will be verified through the standard Form I-9 process.
  • Education Code 89521 Requirements: Applicants will be required to disclose whether they have received a final administrative decision or final judicial decision determining that they have committed sexual harassment within the last 7 years only after a determination is made that they meet the minimum qualifications for the position, and before an offer of employment is extended. Applicants who reach the final stages of the application process must also sign a release form that authorizes the release of information by the applicant’s current and/or former employers to the CSU concerning any substantiated allegations of misconduct.
  • Candidates should apply by completing the CSUN online application. To apply and for more detailed information on the application and hiring process, please visit this link: www.csun.edu/careers
  • The CSU recommends that faculty, staff, and students who are accessing campus facilities at any university location be immunized against SARS-CoV-2, the virus that causes COVID-19, and that all individuals who access any in-person program or activity (on- or off-campus) operated or controlled by the University follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications and comply with other safety measures established by each campus.

 

Equal Employment Opportunity

CSUN is an Equal Opportunity Employer and prohibits discrimination based on Age, Disability (physical or mental), Gender, Gender Identity (including Nonbinary or Transgender), Gender Expression, Genetic Information, Marital Status, Medical Condition, Nationality, Pregnancy or related conditions, Race or Ethnicity (including color, caste, or ancestry), Religion or Religious Creed, Sex (including Sex Stereotyping or Sex Characteristics), Sexual Orientation, and Veteran or Military Status. Our nondiscrimination policy is outlined in the Interim CSU Nondiscrimination Policy. Reasonable accommodations will be provided for applicants with disabilities who self-disclose by contacting Talent Acquisition at 818-677-2101.

 

Work with purpose at the CSU.
Your career can change lives, communities, and futures. Watch why CSU is more than a job: https://www.youtube.com/watch?v=2VXk4PPlSl4

Advertised: Oct 14 2026 Pacific Daylight Time
Applications close:

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Pay
Classification: 0404 / Data Analytics Developer II / 1 The anticipated HIRING RANGE is $6492 – $7759 per month, dependent on qualifications and experience. The salary range for this classification is: $6492 - $9458 per month. HOURS: Full Time; 40 hours per week; Monday through Friday. May include evenings and weekends.
Location & working pattern

Northridge

- This is a Regular position with a one-year probationary period. - The position is currently hybrid (3 days in office, 2 days remote); however, this is subject to change based on student and/or operational needs. General Information
Work authorization

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