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Data Engineer Data Analyst Jobs in Pasadena, CA (NOW HIRING)

Pwc

Data Strategy-Manager

Los Angeles, CA · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Build robust ETL/ELT frameworks supporting analytics, BI, experimentation, and machine learning use ... Programming & ML Data Integration Proficiency in Python (or similar language) for data processing ...

Meta

Data Engineer, Product Analytics

Los Angeles, CA · On-site +1

$147K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

Pwc

Data Governance- Manager

Los Angeles, CA · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Staffingine LLC

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Data Engineer Job Location: Glendale, CA Job Type: Full-Time ● Contribute to maintaining ... and Analytics teams) ● Be an active participant and advocate of agile/scrum ceremonies to ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and ... Support analytics, reporting, automation, and AI initiatives by preparing clean, governed, and ...

Hadrian Automation

People Data Analyst

Los Angeles, CA · On-site

We are looking for a highly analytical and mission-driven People Data Analyst to join our People ... You'll partner closely with our People Systems Engineer and Data Engineering team to help define ...

Multicoin

People Data Analyst

Los Angeles, CA · On-site

$150 - $170/hr

You'll partner closely with our People Systems Engineer and Data Engineering team to help define ... Conduct ad hoc and deep-dive analyses (e.g. attrition drivers, hiring funnel efficiency ...

Hadrian Automation, Inc

People Data Analyst

Los Angeles, CA · On-site

$150K - $180K/yr

We are looking for a highly analytical and mission-driven People Data Analyst to join our People ... You'll partner closely with our People Systems Engineer and Data Engineering team to help define ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Build robust ETL/ELT frameworks supporting analytics, BI, experimentation, and machine learning use ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

Socket.dev

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$99 - $147/hr

Build robust ETL/ELT frameworks supporting analytics, BI, experimentation, and machine learning use ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Build robust ETL/ELT frameworks supporting analytics, BI, experimentation, and machine learning use ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Pasadena, CA

Data Engineer Data Analyst information

See Pasadena, CA salary details

$37.1K

$90.1K

$148.3K

How much do data engineer data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data engineer data analyst in Pasadena, CA is $90,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $105,800.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Pasadena, CA?

For Data Engineer Data Analyst jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Pasadena, CA look for?

The top searched job categories for Data Engineer Data Analyst jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Data Engineer Data Analyst jobs?

Cities near Pasadena, CA with the most Data Engineer Data Analyst job openings:

Data Engineer Data Analyst jobs near you

Data Analyst

Santa Monica, CA

The Walt Disney Company
Amusement, Gambling, and Recreation • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

4th of 52 rated entertainment

People enjoy working here

Good employer

Recommended by students

Learn more about The Walt Disney Companyexternal

Full-time

Posted 4 days ago

Job description

Job Posting Title:

Data Analyst

Req ID:

10158683

Job Description:

The Subscriber Lifecycle & Commerce Analytics team is looking for a Data Analyst who will help to measure, understand, and take action to improve our purchasing and payment experience.Our teammastersexploratory data analysis, advanced reporting, data visualization, and storytelling to deliver actionable insights and provide recommendations to drive business decision-making. This team collaborates with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analyses. This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective experiments around payment processing, fraud prevention, and other commerce domains.

Responsibilities

  • Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention. This includes defining success metrics,determiningrequired sample sizes, andvalidatingrandomization.

  • Partner closely with business stakeholders (Product, Data Science, Business Operations, etc.) to analyze user behavior, design and evaluate interventions in payment and monetization, andidentifyways to maximize subscriber retention.

  • Create andmaintainoperational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-service tools.

  • Translate complex business questions into actionable analysis plans, including testable hypotheses, SQL queries, statistical results, impact estimation and measurements, and executive-level business presentations.

  • Partner with Analytics Engineering, Data Engineering, and Data Science teams to build full pipelines on complex transactional data that simplify and clarify these domains for business users and enable advanced modeling and AI uses.

Required Qualifications

  • Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, orotherrelatedfield.

  • 3+ years of hands-on analytical work experience with SQL driving strategic analysis to inform product or business decision making.

  • Strong analytical skills with the ability to apply business strategy to data analysis and recommendations.

  • Strong foundational knowledge of applied statistics, causal inference, andexperimentationmechanics in technology products.

  • Strongproficiencyin SQL (especially Snowflake and/or Databricks) for manipulating large data sets, building data pipelines, and interpreting data trends.

  • Expertise withdata exploration and data visualization tools like Looker and Tableau.

  • Strong technical analysis skills to investigate issues, analyze causes, quickly developpossible solutions, document changes, and communicate organizational impact.

  • Strong experience in documenting data requirements, data strategy, and data rules (standardization, cleansing, and validation).

Desired Qualifications

  • Experience with Python and/or R for statistical analysis and model building.

  • Experience with global billing, payment processing, and/or fraud prevention.

  • Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product.

The hiring range for this position in Santa Monica, CA is $97,500 to $130,700 per year and in New York, NY is $102.100 to $136,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Analytics and Data Science

Job Posting Primary Business:

Content Analytics

Primary Job Posting Category:

Tech Data Analytics

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

USA - NY - 7 Hudson Square

Date Posted:

2026-08-24
Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

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Pay

Benefits

Hours and flexibility

Workplace

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