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Data Platform Software Engineer Jobs (NOW HIRING)

Platform Engineer #1052676 * A platform software Engineer is a versatile developer with expertise ... Work closely with data architects, software engineers, and cross-functional teams to define best ...

Platform Software Engineer

Sunrise, FL · On-site

$60.50K - $86.10K/yr

The Platform Software Engineer will implement low level Linux OS software working directly with ... genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S.

Platform Software Engineer

Dearborn, MI · On-site +1

$140.63K - $188.56K/yr

Redefining mobility requires quality data, metrics, and analytics, as well as insightful ... Platform Software Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note ...

The Platform Software Engineer will implement low level Linux OS software working directly with ... genetic data,sexual orientation, gender identity or other legally protected status. ITAR U.S.

We're building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world. If you're the kind of Software Engineer who lights up when talking about ...

Senior Software Engineer (III) Staff Software Engineer (IV) Your team is responsible for: As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ingestion ...

Senior Software Engineer (III) Staff Software Engineer (IV) Your team is responsible for: As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ingestion ...

Software Engineer - Data Platform

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

The Software Engineer on the data platform engineering team will lead the development of AI and data infrastructure, focusing on building systems for data aggregation, storage, and intelligent ...

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Data Platform Software Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of May 31, 2026, the average yearly pay for data platform software engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Platform Software Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with database systems, and a background in computer science or a related field. Familiarity with big data frameworks like Hadoop or Spark, cloud platforms (AWS, Azure, or GCP), and tools such as Kafka or Airflow, along with relevant certifications, is highly valuable. Excellent problem-solving abilities, collaboration, and effective communication distinguish top performers in this role. These skills and qualities are crucial for building scalable, reliable data systems that support robust analytics and business decision-making.

What are some common challenges Data Platform Software Engineers face when ensuring data reliability at scale?

Data Platform Software Engineers often encounter challenges related to maintaining data consistency and reliability as data volumes and user demands grow. These can include handling data pipeline failures, optimizing data storage and retrieval for performance, and ensuring data quality across distributed systems. Proactive monitoring, automation, and robust testing are essential to address these issues. Engineers also need to collaborate closely with data scientists, analysts, and infrastructure teams to align on requirements and quickly resolve incidents.

What is a Data Platform Software Engineer?

A Data Platform Software Engineer is a technical professional responsible for designing, building, and maintaining the infrastructure that enables organizations to collect, store, process, and analyze large volumes of data. They work with various technologies, such as databases, cloud services, and data processing frameworks, to ensure data is accessible, reliable, and secure. These engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision making, optimize system performance, and implement best practices for data management.

What is the difference between Data Platform Software Engineer vs Data Engineer?

AspectData Platform Software EngineerData Engineer
Primary FocusDesigning, developing, and maintaining data platforms and infrastructureBuilding and managing data pipelines and data storage solutions
Skills & CertificationsProgramming, cloud platforms, data architecture, certifications like AWS or GCPETL tools, SQL, programming, cloud skills, certifications often similar
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks closely with data analysts, database administrators, and data scientists

While both roles involve working with data and cloud technologies, Data Platform Software Engineers focus on building scalable data infrastructure, whereas Data Engineers primarily develop data pipelines and manage data storage. Both roles require similar skills and certifications, often working in overlapping environments within data-driven organizations.

More about Data Platform Software Engineer jobs
Infographic showing various Data Platform Software Engineer job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 62% Physical, 9% Hybrid, and 29% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Full Stack Software Engineer (Player/Coach) Data Platform & AI

Senior Full Stack Software Engineer (Player/Coach) Data Platform & AI

Prosum

Pasadena, CA

$155K - $170K/yr

Other

Posted 2 days ago


Job description

Senior Full Stack Software Engineer (Player/Coach) Data Platform & AI

Salary Range: $155k to $170k

We are hiring a Senior Full Stack Software Engineer for a fast-growing decarbonization technology company building advanced software that helps businesses measure, model, and reduce carbon emissions. Their platform directly impacts how companies operate in a carbon-constrained world and is becoming critical infrastructure for sustainability and regulatory compliance.

This is not a pure IC role and not a pure management role. This is a player/coach position. You will write production code, influence architecture, mentor engineers, and help scale a data-driven product used by real customers.

If you've worked at a startup or high-growth company where you owned meaningful portions of a product, this role will feel familiar.

What You Will Do
  • Design and build full-stack features using Python and React

  • Develop and scale ETL pipelines and backend systems powering analytics and modeling

  • Build APIs and integrate with internal and external systems

  • Help define architecture and make technical decisions that impact the product long term

  • Mentor engineers and help improve engineering standards and practices

  • Work closely with data scientists and modeling teams to productionize analytical models

  • Take ownership of features from design through deployment


Required Experience
  • 5 10 years of full-time software engineering experience

  • Strong hands-on experience with:

    • Python (backend development)

    • React (frontend development)

    • ETL pipelines and data platforms

    • API development (REST, FastAPI, or GraphQL)

    • PostgreSQL or similar relational databases

    • Cloud platforms (Azure preferred, AWS or Google Cloud Platform acceptable)

    • Docker and modern development workflows

  • Experience working at startups or high-growth environments

  • Experience owning and delivering production systems, not just contributing small pieces

  • Experience mentoring engineers or influencing technical direction

  • Strong system design and architecture fundamentals


Highly Preferred
  • Experience building or working on data platform software

  • Experience scaling systems handling large datasets

  • Experience working with analytics, modeling, or scientific data systems

  • Exposure to AI systems, chatbots, or retrieval-augmented generation (RAG)

  • Background in science, environmental studies, economics, or finance (academic or professional)


What This Role Is NOT
  • Not a pure manager role

  • Not a junior or mid-level position

  • Not a role where you only work on frontend or only backend

  • Not a role where you only follow specifications

You will be expected to own problems, build solutions, and help scale the product and engineering team.


Why This Role Matters

This company is building software that directly enables businesses to reduce emissions and operate more efficiently in a rapidly changing regulatory and economic environment. Their platform is becoming essential infrastructure for companies navigating climate and sustainability requirements.

You will be working on meaningful, technically challenging problems with real-world impact.


Apply if you have:
  • Strong Python and React experience

  • Experience building data platforms or data-heavy applications

  • Startup or high-growth company experience

  • Interest in owning systems and influencing technical direction