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Software Engineer Data Analyst Jobs in Porter Ranch, CA

Sr. Data Analyst

Los Angeles, CA ยท On-site +1

$92K - $116K/yr

As a Senior Business Analyst on the Integrated Content Solutions team, you will help shape how ... Bachelor's degree in Data Science, Mathematics, Finance, Software Engineering, a related field or ...

Junior Data Analyst

Los Angeles, CA ยท 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 ...

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 ยท On-site

$150K - $180K/yr

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

Software Engineer, Advanced Engineering Active Safety Why join Aptiv? You'll have the opportunity ... Write scripts and tools for offline data analysis, algorithm validation, and regression testing

New

People Data Analyst

Los Angeles, CA ยท 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 ...

Sr Software Engineer

Glendale, CA ยท On-site

$129K - $171K/yr

As a Senior Software Engineer, you will build scalable, reliable, and high-performance data pipelines and data models that enable analytics, downstream applications, operational workflows, and ...

Sr. Data Analyst

Los Angeles, CA ยท On-site +1

$92K - $116K/yr

As a Senior Business Analyst on the Integrated Content Solutions team, you will help shape how ... Bachelor's degree in Data Science, Mathematics, Finance, Software Engineering, a related field or ...

Showing results 21-40

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 Aug 9, 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:

Staff Software Engineer, Data Integrations

Commure

Los Angeles, CA โ€ข Remote

$210K - $275K/yr

Full-time

Posted 19 days ago


Job description

At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.

Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.”

Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.

The future of healthcare is being built right now. Come deliver this transformation.

About the Role

The Data Integrations team owns the systems that move clinical and financial data between Commure and hundreds of external healthcare endpoints. The domain is EMRs, but the engineering problem is distributed systems at scale: durable orchestration on Temporal, strong delivery semantics against unreliable third parties, and a data and networking substrate that has to keep up as the business grows.

We're looking for a Staff Software Engineer to set technical direction for this platform and help us scale as we more towards Enterprise Customers.

What You’ll Do

  • Set the technical direction for the platform. Decide what we build and how we execute.

  • Own the architecture of the systems that move data through our platform, the orchestration layer, the pipelines, the data stores, and evolve them as scale.

  • Look ahead. Anticipate the scaling and reliability walls we'll hit two and four quarters out, and get in front of them before they become incidents.

  • Set the bar for observability and operational readiness (monitoring, logging, distributed tracing, dashboards, alerting, SLOs, and safe production rollouts) and make sure the team actually lives by it.

  • Work hand-in-hand with platform and product teams to keep sensitive customer data protected, tighten security boundaries, and stay on top of our regulatory and compliance obligations.

  • Own complex, cross-system initiatives end to end: architecture and design, implementation, migration, rollout, and everything that comes with running it in production.

  • Make pragmatic calls that weigh security, correctness, reliability, performance, and simplicity against how fast we need to ship.

  • Mentor Senior and Staff engineers, run architecture and design reviews, and push the technical bar higher through clear direction, strong engineering habits, and honest feedback.

  • Take real ownership in a fast-moving environment. Spot systemic risks early and fix the root cause instead of patching around it.

What You Have

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience

  • 10+ years of professional software engineering experience, with a substantial chunk at Staff-equivalent scope: architectural decisions on multi-quarter projects, made under real constraints, that you'd still defend today.

  • Deep experience building and operating distributed systems at scale, high-throughput pipelines, data-intensive services. You can talk about the non-obvious failure modes, not just the happy path.

  • Strong data-layer and concurrency judgment. You've made a relational database (Postgres or similar) do more than it wanted to, and you know when to reach for a DB lock, when Redis is the right tool, and when the right move is a design that doesn't need either.

  • Real depth in the boring-but-critical layers. Networking and egress (NAT, static IPs, connection lifecycle, DNS, TLS), the database, the container runtime. You've been the person the org turns to when something below the application layer is misbehaving.

  • Production experience with GCP and container orchestration (Kubernetes, Knative, or similar serverless-on-k8s), and fluency in a modern backend language (Python strongly preferred; Go or similar is a plus).

  • The ability to translate business goals into technical direction, and technical tradeoffs into language non-engineers can act on.

  • A history of leveling up the engineers around you.

Bonus if you have

  • Healthcare integrations experience — HL7 v2, FHIR, and EHRs like Epic, Cerner, or Athenahealth. We can teach the domain; we're hiring for the systems judgment above.

  • Experience with the compliance envelope this work lives inside (HIPAA, SOC 2) and the security posture that comes with handling PHI.

Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com. Any emails from other domains are not affiliated with our organization.


Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

Compensation Range: $210K - $275K