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Software Engineer Data Analyst Jobs in Porter Ranch, CA

Bachelor's in Computer Science, Engineering, Mathematics, or related field (or equivalent experience) * 5+ years in data analytics, data science, AI/ML, NLP, and data visualization * Strong ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Experience in an engineering or consulting environment is a plus. * Skills: * Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). * Experience with data visualization tools ...

We are seeking a highly skilled Data Analyst to develop, implement, and optimize complex analytical ... The CPR Analytical Engineering team is tasked with creating commerce datasets to enhance current ...

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Collaborate with other software/data engineers and cross-functional teams * Tech stack includes ... and Analytics teams) * Be an active participant and advocate of agile/scrum ceremonies to ...

Software Engineer

Los Angeles, CA · On-site

$123K - $160K/yr

Perform data analysis and anomaly investigation to identify and resolve software bugs * Support ... Fluency with Linux systems programming and driver development * Experience with continuous ...

Analyze data to determine requirements for a migration and updating of user data from one set of ... Work with engineers to analyze results of development efforts to determine if it meets requirements ...

People Data Analyst

Los Angeles, CA · On-site

$150K - $180K/yr

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... You'll partner closely with our People Systems Engineer and Data Engineering team to help define ...

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Software Engineer Data Analyst information

See Porter Ranch, CA salary details

$45.7K

$133.1K

$182.2K

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

As of Jul 16, 2026, the average yearly pay for software engineer data analyst in Porter Ranch, CA is $133,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $141,100.00 per year, depending on experience, location, and employer.

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

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

How do Software Engineer Data Analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a Software Engineer Data Analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is a Software Engineer Data Analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.
What cities near Porter Ranch, CA are hiring for Software Engineer Data Analyst jobs? Cities near Porter Ranch, CA with the most Software Engineer Data Analyst job openings:
Sr. Software Engineer, Data Streaming Systems

Sr. Software Engineer, Data Streaming Systems

Paramount

Burbank, CA • On-site

$130K - $171K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Paramount Senior Living rating

5.3

Company rating: 5.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

#WeAreParamount on a mission to unleash the power of content... you in?
We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet - now all we're missing is... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture.

Overview

It will build fault-tolerant streaming applications supporting real-time analytics, APIs, AI workflows, and critical data services.This role will design and build high-performance, fault-tolerant streaming applications that power real-time analytics, APIs, AI workflows, and mission-critical data services across the organization. You will architect and implement distributed, event-driven systems using Java, Kafka, Kubernetes, and modern reactive frameworks. As a senior engineer, you will set the technical direction. You will mentor other engineers. You will also ensure that our streaming platforms are reliable, scalable, and operate smoothly. This role requires deep expertise in distributed systems, concurrency, and cloud-native microservices.

Primary Responsibilities

Design & Build Real-Time Streaming Applications

  • Develop high-throughput, low-latency streaming applications using Java and Kafka.
  • Design event-driven microservices that process, enrich, and route real-time data at scale.
  • Implement reactive, non-blocking architectures to support high concurrency and resilience. Create reusable streaming frameworks and libraries. These will help improve engineering efficiency and standardization across the platform.

Architect Scalable Distributed Systems

  • Design and optimize distributed streaming architectures. You will work with Kafka topics, partitioning strategies, consumer groups, schema management, and event lifecycle patterns.
  • Help make architecture decisions for the whole platform. This includes scalability, resiliency, high availability, disaster recovery, and deployments across multiple regions.
  • Drive best practices around event modeling, schema evolution, idempotency, replayability, and data consistency across streaming systems.
  • Build and optimize horizontally scalable services deployed within Kubernetes-based cloud environments.
  • Production Reliability & Performance Make sure that streaming platforms and services are reliable and easy to monitor. Keep these systems operationally mature.
  • Optimize systems for throughput, latency, resiliency, resource efficiency, and infrastructure cost management. Set up full observability using metrics and centralized logging. Use distributed tracing, alerting, and health monitoring tools.
  • Build automated testing strategies for streaming workflows, including unit, integration, contract, chaos, and performance testing.
  • Participate in production support. Help with incident response and root-cause analysis. Work on initiatives to improve reliability continuously.

Cloud-Native & Kubernetes Engineering

  • Deploy and manage containerized microservices within Kubernetes environments across GCP, AWS, or similar cloud platforms.
  • Define strategies for autoscaling, deployment, failover, and resource optimization. These strategies will focus on high-volume production systems.
  • Create and manage CI/CD pipelines. This includes Infrastructure-as-Code and workflows for automated deployment.
  • Collaborate with platform engineering teams to improve developer tooling, deployment automation, and runtime reliability.

Cross-Functional Collaboration

  • Partner with Data Engineering teams to integrate streaming architectures with batch processing systems, data lakes, and analytical platforms.
  • Collaborate with Software Engineering, Product Management, and API teams to enable real-time services and data-driven applications.
  • Work closely with AI/ML engineering teams to support real-time feature engineering, inference pipelines, and operational AI workloads.
  • Clearly explain the tradeoffs of different technical options. Discuss scalability considerations and operational risks with engineering stakeholders.

Required Technical Skills 

Java & Reactive Programming

  • Advanced proficiency in Java, including concurrency, multithreading, and JVM performance tuning.
  • Strong experience with reactive frameworks such as Spring WebFlux, Project Reactor, or similar.
  • Deep knowledge of asynchronous, non-blocking system design. Kafka & Event-Driven Architecture
  • Extensive experience with Apache Kafka (producers, consumers, streams, schema registry).
  • Strong knowledge of partitioning strategies, offset management, rebalancing, and failure recovery.
  • Experience designing event schemas and managing schema evolution.
  • Familiarity with Kafka Streams, Flink, or similar stream-processing frameworks.

Kubernetes & Cloud-Native Systems

  • Strong hands-on experience deploying and operating applications in Kubernetes. You should have experience using Docker for containerization. It's also important to have knowledge of microservices architecture. You should understand how autoscaling functions. You also need to learn about rolling deployments. It's important to know patterns that ensure reliable production.

Basic Qualifications 

  • 5+ years of professional software engineering experience, including 2+ years working on streaming or distributed systems. You should have experience in designing, building, and running production-grade real-time systems. This includes event-driven systems. You should be comfortable working in cloud-based systems that use microservices. This includes engineering environments that focus on these technologies.
  • Ability to take ownership of complex technical work and deliver reliable solutions autonomously.
  • Willingness to mentor junior engineers and contribute to team engineering standards.
  • Strong communication and collaboration skills across engineering and product teams.
  • Bachelor's degree in Computer Science, Engineering, or related technical field; advanced degree preferred.

#LI-PV1 

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME.

ADDITIONAL INFORMATION

Hiring Salary Range: $124,000.00 - 186,000.00. 

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.  The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable,  as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.  

What We Offer:
  • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
  • Generous paid time off.
  • An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams.
  • Opportunities for both on-site and virtual engagement events.
  • Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
  • Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.


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