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Internship Data Analytics Engineer Jobs in California

Hyperbolic Labs

Senior Data Lead

San Francisco, CA · On-site

About the Role We're seeking a data analytics lead to establish and own the data foundation for our ... Data engineering skills or familiarity with data pipeline development * Experience at high-growth ...

Socket.dev

Senior Data & Analytics Engineer

San Diego, CA · On-site

$140K - $155K/yr

About the Role MG Properties is seeking a Senior Data & Analytics Engineer to lead the development and long-term ownership of our enterprise data and analytics platform. This senior individual ...

G3 Enterprises

Analytics Engineer

Modesto, CA · On-site

$119K - $143K/yr

Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring data quality, designing efficient models, and ...

Payactiv, Inc.

Data and Analytics Engineer

Milpitas, CA · On-site

$130K - $165K/yr

Payactiv is seeking a hands-on Data and Analytics Engineer to own and support our business reporting, analytics, dashboarding, and marketing/operational data request workflows. This is a highly ...

Payactiv

Data and Analytics Engineer

Milpitas, CA · On-site

$130K - $156K/yr

Payactiv is seeking a hands-on Data and Analytics Engineer to own and support our business reporting, analytics, dashboarding, and marketing/operational data request workflows. This is a highly ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Samsung SDS

Data analytics developer

San Jose, CA · On-site

We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

Samsung SDSA

Data Analytics Developer

San Jose, CA · On-site

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

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All JobsData Analytics Engineer JobsInternship Data Analytics Engineer JobsInternship Data Analytics Engineer Jobs in California

Internship Data Analytics Engineer information

What is the difference between Internship Data Analytics Engineer vs Data Analyst Intern?

AspectInternship Data Analytics EngineerData Analyst Intern
Required CredentialsBasic knowledge of data engineering, SQL, programmingBasic understanding of data analysis, Excel, SQL
Work EnvironmentAssist in building data pipelines, working with data engineering teamsAnalyze datasets, generate reports, support decision-making
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, marketing, finance sectors

Internship Data Analytics Engineers focus on data pipeline development and engineering tasks, while Data Analyst Interns primarily analyze data and create reports. Both roles require foundational data skills but differ in technical focus and responsibilities.

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The most popular types of Data Analytics Engineer jobs in California are:

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Infographic showing various Internship Data Analytics Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Analytics Engineer Data & Analytics Remote United States

San Diego, CA • On-site

Seismic
See more jobs at Seismicexternal

Other

Posted 12 days ago

Key responsibilities

  • Partner with Finance stakeholders to understand requirements and deliver data models that support financial reporting, revenue recognition, expense tracking, and planning.

  • Build and maintain dbt models across the full modeling stack following layered dimensional modeling practices.

  • Collaborate with data analysts, analytics engineers, and data engineers on data ingestion, pipeline reliability, and source system changes.

Job description

Overview

We’re looking for a Senior Analytics Engineer to join Seismic’s Corporate Data & Analytics team and own our finance data domain. In this role, you’ll partner with our Finance team to model, maintain, and scale the data assets that power financial reporting, planning, and decision-making across the business. You’ll serve as the technical bridge between Finance stakeholders and the data platform, translating business requirements into clean, reliable, well‑documented data models that analysts and leaders can trust.

Who you are:
  • 5+ years of analytics engineering or data analyst experience, with at least 3 years hands‑on with dbt (Core or Cloud) – building and maintaining multi‑layer model architectures in a production environment.
  • Direct experience modeling financial data and working with Finance as a business stakeholder.
  • Demonstrated experience partnering directly with business‑facing teams on end‑to‑end analytics projects, from requirements gathering through delivery.
  • Hands‑on experience with a finance SaaS platform such as NetSuite (or similar), including modeling financial data and surfacing it from source systems to the reporting layer.
  • Working knowledge of Salesforce quote‑to‑cash data structures.
  • Proficiency with a cloud data warehouse, experience with Snowflake, BigQuery, or other data warehouse systems required.
  • Expert SQL skills – comfortable writing complex transformations, window functions, and CTEs.
  • Experience with Git/GitHub – branching, pull requests, code review workflows.
  • Familiarity with layered dimensional modeling concepts – understanding of how to separate raw data normalization from business logic from reporting‑ready models.
Nice to Have
  • Experience building data models for BI tools such as Tableau, Looker, or Power BI.
  • Familiarity with agile delivery in a cross‑functional engineering environment.
  • Experience with financial planning tools such as Workday Adaptive Planning.
  • Experience with integration/automation tools such as Workato.
  • Background as a data analyst or in a hybrid analyst/engineer role, understanding what it means to be the consumer of the data they build.
What you’ll be doing:
  • Collaborate with Finance stakeholders to understand requirements, score work, and deliver data models that support financial reporting, revenue recognition, expense tracking, and planning.
  • Partner with FP&A, Accounting, and Systems teams to build and maintain trusted dbt models for bookings, ARR, and quote‑level revenue data (e.g., Salesforce CPQ price‑per‑seat, discounting, and booking calculations), ensuring metrics reconcile across Finance systems and downstream reporting.
  • Build and maintain dbt models across the full modeling stack following layered dimensional modeling practices.
  • Work directly with data analysts to evaluate reporting requirements and translate business logic into reusable, well‑tested data models.
  • Collaborate with analytics engineers and data engineers on data ingestion, pipeline reliability, and source system changes.
  • Apply software engineering best practices to analytics code: version control (GitHub), testing, CI/CD, and documentation.
  • Write and maintain clear dbt documentation (model descriptions, column‑level doc blocks, and lineage) so the data layer is self‑service friendly.
  • Actively participate in project scoping, sprint planning, and cross‑functional delivery using agile workflows.

Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

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