The Role
Build and scale Modular’s data platform by designing ingestion and transformation pipelines, integrating product, GTM, and Finance data, defining telemetry requirements, and establishing data governance and reliability practices. The role combines hands-on software development, data architecture, cloud and distributed-systems engineering, and technical partnership with engineering and business stakeholders.
Summary Generated by Built In
About Modular
About the role:
What you will do:
What you bring to the table:
Helpful but not required:
What Modular brings to the table:
At Modular, we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges.
If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value.
The Data Platform group builds and operates the foundational data systems that power Modular’s business, from product telemetry to GTM analytics to cross-functional insights used by Engineering, Product, Finance, and the GTM organization. As Modular enters commercialization, the team’s mission is shifting from purely engineering support to enabling data-driven decision-making across the company.
We are looking for a Platform Engineer, Data to improve the systems that make Modular’s data trustworthy, connected, and actionable. In this role, you’ll balance hands-on development with technical leadership, designing and scaling pipelines, shaping data architecture, and partnering with engineering and business stakeholders. We are looking for someone who is passionate about building reliable systems, solving ambiguous problems, and empowering others to make decisions with data.
LOCATION: Candidates based in the US or Canada are welcome to apply. This role is based out of our headquarters in Los Altos, CA office. We provide relocation services within US and Canada.
- Scale Modular's data stack for the company's next phase of growth.
- Design, build, and maintain data ingestion and transformation pipelines across Modular's systems.
- Partner with product and engineering teams to define instrumentation requirements for new product surfaces and customer environments.
- Build integrations that connect product → GTM → Finance data, giving the company visibility into revenue, pipeline, and unit economics.
- Contribute to data governance and best practices, building a consistent, trusted data foundation across the company.
- 0 - 2+ years of experience as a software engineer working heavily with data systems.
- Strong foundational programming skills in Python or Java alongside solid proficiency in SQL.
- Familiarity with software development lifecycles and VCS like Git/Github.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with distributed processing or messaging systems such as Spark, Kafka, Flink, or similar technologies.
- Knowledge of containers and orchestration technologies such as Docker or Kubernetes.
- Alignment with our core company cultural values
Helpful but not required:
- Experience with ETL/ELT pipelines and either streaming or batch systems, plus orchestration frameworks.
- Experience with data lake and warehouse architectures (e.g., Parquet, Iceberg).
- A strong sense of data quality, reliability, and performance.
- Experience with infrastructure-as-code tooling such as Pulumi.
- Experience with product telemetry systems, usage-based billing, or instrumentation design.
- Familiarity with data observability or data quality tools.
- Experience in a high-growth environment.
- Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
- World-class Benefits. In order to attract the best, we need to offer the best. Premier insurance plans, up to 5% 401k matching, flexible paid time off, and more are available to you! Please note that specific benefit packages may vary based on your location.
- Competitive Compensation. We offer very strong compensation packages, including stock options. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce.
- Team Building Events. We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.
Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.
The estimated base salary range for this role to be performed in the US, regardless of the state, is $135,000 - $165,000 USD.
The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation.
For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have openings that are lower/higher level than the ones advertised.
Skills Required
- 0–2+ years of experience as a software engineer working heavily with data systems
- Strong programming skills in Python or Java
- Solid proficiency in SQL
- Familiarity with software development lifecycles
- Experience with version control systems such as Git and GitHub
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with distributed processing or messaging systems such as Spark, Kafka, or Flink
- Knowledge of containers and orchestration technologies such as Docker or Kubernetes
- Alignment with the company’s core cultural values
- Experience with ETL/ELT pipelines and streaming or batch systems
- Experience with orchestration frameworks
- Experience with data lake and warehouse architectures such as Parquet or Iceberg
- Strong focus on data quality, reliability, and performance
- Experience with infrastructure-as-code tooling such as Pulumi
- Experience with product telemetry systems, usage-based billing, or instrumentation design
- Familiarity with data observability or data quality tools
- Experience in a high-growth environment
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The Company
What We Do
The next-generation AI developer platform unifying the development and deployment of AI for the world
