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Data Platform Software Engineer Jobs (NOW HIRING)

Data Platform Software Engineer

Palo Alto, CA

$134.70K - $161.80K/yr

Our application, software, and industry teams work directly with leading Fortune 500 companies ... PsiQuantum is looking for an experienced data platform engineer who can design, implement and ...

Data Platform Software Engineer

Palo Alto, CA

$134.60K - $161.60K/yr

Our application, software, and industry teams work directly with leading Fortune 500 companies ... PsiQuantum is looking for an experienced data platform engineer who can design, implement and ...

Data Platform Software Engineer

Palo Alto, CA · On-site

$134.60K - $161.60K/yr

Our application, software, and industry teams work directly with leading Fortune 500 companies ... PsiQuantum is looking for an experienced data platform engineer who can design, implement and ...

Platform Software Engineer

Dearborn, MI · On-site

$140.63K - $188.56K/yr

Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. Responsibilities What you'll be able to do: Platform Software Engineer - positions offered ...

Platform Software Engineer About Tensordyne AI is transforming our world. It can perform cognitive ... data center customers. We are at the leading edge of advancing the latest research and product ...

Platform Software Engineer

Charlotte, NC · Hybrid

$125K - $142K/yr

Work with data modeling, master data management, and enterprise data governance * Implement ... of software engineering experience with focus on platform or infrastructure development

Software Engineer Team: Data Platform Type: Individual Contributor Level: Mid-level (3-6 years of experience) Compensation: $175k-225k salary + 0.5%-1% equity, depending on experience Location:

We are seeking a talented Robot Platform Software Engineer to join our team in Austin, TX. This ... data handling. * Analytical Profiling: Ability to perform resource usage analysis (CPU, memory ...

Software Engineer, Data Platform

San Francisco, CA · On-site

$134.90K - $162K/yr

They are seeking a Software Engineer for their Data Platform to build and maintain data infrastructure that processes petabytes of data across millions of users. Responsibilities : • Build and ...

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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.
Data Platform Software Engineer

Data Platform Software Engineer

PsiQuantum

Palo Alto, CA

$134.70K - $161.80K/yr

Other

Posted 12 hours ago


Job description

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems.

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries.

Our architecture and approachisbased on silicon photonics. Byleveragingthe advanced semiconductor manufacturing industry-including partners like GlobalFoundries-we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photonsdon'tfeel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure.

In 2024,PsiQuantumannounced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale.

PsiQuantumalso develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies-including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical-to prepare quantum solutions for real-world impact.

Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a path to mastering challenges that cannot besolvedany other way. The potential is enormous, and we have a clearpathto make it real.

Come join us.

Job Summary:

Quantum computing promises to solve many important problems that could never be solved on any conventional computer. At PsiQuantum we're building a general-purpose silicon photonic quantum computer to tackle these very problems.

PsiQuantum is looking for an experienced data platform engineer who can design, implement and maintain scalable data pipelines that extract, move and transform data across the Photonic Circuits organization. This role optimizes ETL workflows and integrates various data sources (APIs, DBs, streaming systems) and ensures data quality and observability. This role will work closely with the platforms team and the circuit designers, system engineers and validation engineers. The output will enable ease of producing analytics, scaling tape-out and providing well-structured data sets for reporting. Quantum computing requires breakthrough engineering innovations; we expect software solutions that are novel and custom while at the same time, leverage automation and other best practices from the semiconductor industry. Being a startup in an all-new engineering field, the role is expected to be highly collaborative and requires excellent technical skills to execute projects to meet milestones and technical scope.

An ideal Data Platform SW Engineer candidate combines strong SW engineering skills with deep appreciation for semiconductor and chip design EDA toolchains. They are experienced in building scalable data pipelines that ingest and transform data from simulation outputs, layout tools, verification systems, test benches, lab measurements, and manufacturing yield reports. Proficient in Python and SQL, they are comfortable working with large structured and unstructured datasets (netlists, GDS metadata, waveform data, logs) and integrating disparate systems across design, verification, and fabrication environments.They understand the importance of data integrity, traceability, and reproducibility in silicon development, and design pipelines with robust validation, versioning, and auditability. The ideal candidate collaborates effectively with circuit designers, CAD/EDA engineers, verification teams, and manufacturing operations, translating complex engineering workflows into reliable, automated data infrastructure that accelerates design iteration, improves yield analysis, and enables data-driven decision-making across the chip lifecycle.

Responsibilities:

  • Key member of the software solutions team responsible for developing and deploying software for test systems, product platforms and manufacturing data management.
  • Design, build, and maintain scalable data pipelines that ingest data from EDA tools, simulation frameworks, verification systems, lab equipment, and manufacturing test platforms.
  • Develop robust ETL/ELT workflows to transform netlists, layout metadata, waveform data, logs, and yield data into structured, analysis-ready datasets.
  • Integrate disparate engineering systems across design, verification, tapeout, and silicon validation environments.
  • Ensure data integrity, traceability, and version control across the chip development lifecycle.
  • Implement automated validation, monitoring, and observability for pipeline reliability and data quality.
  • Optimize performance for large-scale simulation outputs and high-volume manufacturing datasets.
  • Collaborate with photonic circuit designers, CAD/EDA/PDK engineers, verification teams, and silicon validation engineers to translate workflow requirements into scalable data solutions.
  • Build data models and infrastructure that support yield analysis, failure analysis, PPA (power, performance, area) tracking, and design iteration metrics.
  • Maintain secure and compliant data handling practices across on-prem and cloud environments.
  • Contribute to internal tooling and automation frameworks to reduce manual data handling and accelerate design cycles.

Experience/Qualifications:

  • Bachelors or other advanced degrees in Computer Science or related engineering fields.
  • 3+ years of experience building and maintaining production-grade data pipelines or data platforms.
  • Use programming languages (Python, SQL) and tools (DataBricks, Apache Kafka, Spark, Airflow) to ensure high-quality, scalable data flow.
  • Understanding of software engineering best practices (version control, CI/CD, testing, code reviews).
  • Experience working in semiconductor, ASIC/SoC, or photonics design environments.
  • Knowledge of HPC environments or high-throughput compute clusters.
  • Preference for experience in supporting ML or advanced analytic engineering workflows.
  • Experience with complex software development projects for custom test solutions, hardware interfaces, and platform level firmware/software OR experience developing complex experimental systems in the case of recent college graduates.
  • Proven team player with an ability to work effectively across departments, sites, time zones.
  • Excellent verbal and written communication skills with an ability to communicate effectively to a variety of audiences.
  • Strong critical thinking, creative, innovative, analytical, and detail-oriented problem-solving skills.
  • Proven track record of impactful results.
  • Ability to work independently with limited direction.
  • Demonstrated ability to lead and juggle multiple priorities and deliver against a schedule.
  • Demonstrated interest in quantum computing.
  • Ability to contribute to a fast-paced start-up environment.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located.Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.

U.S. Base Pay Range
$140,000—$150,000 USD
Bay Area Pay Range
$150,000—$165,000 USD