Staff Data Engineer
Harness: AI-Native Software Delivery Platform
This job is no longer accepting applications
See open jobs at Harness: AI-Native Software Delivery Platform.See open jobs similar to "Staff Data Engineer" B Capital.Position Summary
The Cloud Cost Management (CCM) module at Harness helps customers gain visibility into their cloud usage, optimize their cloud spending, and make intelligent, data-driven decisions. We're building the next generation of FinOps solutions, and data is at the heart of everything we do.
Position Overview
We are looking for a Staff Data Engineer to join our CCM team and lead the design, development, and optimization of large-scale data pipelines and platforms. This role is critical to ensuring our platform is scalable, efficient, and capable of processing billions of records daily across multiple cloud providers (AWS, GCP, Azure, and Kubernetes).
About The Role
- Design and build scalable, high-performance data pipelines using modern technologies (e.g., Spark, BigQuery, Kafka, Airflow, Iceberg).
- Partner closely with Product, Engineering, and FinOps teams to define data models and infrastructure to support cost analytics, forecasting, and optimization.
- Lead architectural decisions and help establish best practices in data quality, governance, and observability.
- Collaborate with cross-functional teams to integrate new data sources and ensure data consistency across cloud providers.
- Identify bottlenecks in pipeline performance and propose innovative solutions to improve throughput and reliability.
- Mentor other engineers and help raise the data engineering bar across the organization.
- Contribute to overall platform performance, availability, and reliability from a data infrastructure lens.
About You
- 8+ years of hands-on experience in data engineering, with a proven track record of delivering production-grade data solutions.
- Expertise in distributed data processing frameworks such as Apache Spark, Flink, or equivalent.
- Strong SQL and data modeling skills, with experience in columnar databases like BigQuery, Snowflake, or Redshift.
- Deep knowledge of cloud platforms (preferably GCP and AWS), and experience with cloud-native storage and processing tools.
- Experience with modern data formats (Parquet, ORC, Iceberg) and orchestration tools (Airflow, Dagster, dbt, etc.).
- Solid programming skills in Python, Java, or Scala.
- Experience with Kubernetes and containerized deployments is a plus.
- Prior experience in FinOps, cloud cost optimization, or billing systems is highly desirable.
- Strong communication and collaboration skills – you can influence architecture, design, and roadmap across teams.
Why Join Harness?
- Opportunity to shape the future of FinOps in a hyper-growth company
- Work with passionate engineers solving hard problems at scale
- Competitive salary, equity, and benefits
- A culture that promotes ownership, creativity, and growth
Join us in building the smartest, most scalable cloud cost management platform on the planet!
Location
This role will be out of our Mountain View Office - Hybrid, 3 days
What You Will Have at Harness
- Competitive salary
- Comprehensive healthcare benefits
- Flexible Spending Account (FSA)
- Employee Assistance Program (EAP)
- Flexible Time Off and Parental Leave
- Quarterly Harness TGIF-Off / 4 days
- Monthly, quarterly, and annual social and team-building events
- Recharge & Reset Program
- Monthly internet reimbursement
- Commuter benefits
The anticipated base salary range for this position is $185,000 - 225,000 annually. Salary is determined by a combination of factors including location, level, relevant experience, and skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. The compensation package for this position may also include equity, and benefits. More details about our company benefits can be found at the following link: https://www.harness.io/company/careers.
A valid authorization to work in the U.S. is required
Harness in the news:
- Harness Grabs a $150m Line of Credit
- Welcome Split!
- SF Business Times - 2024 - 100 Fastest-Growing Private Companies in the Bay Area
- Forbes - 2024 America's Best Startup Employers
- SF Business Times - 2024 Fastest Growing Private Companies Awards
- Fast Co - 2024 100 Best Workplaces for Innovators
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
Note on Fraudulent Recruiting/Offers
We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.
Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.
If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at security@harness.io. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.
This job is no longer accepting applications
See open jobs at Harness: AI-Native Software Delivery Platform.See open jobs similar to "Staff Data Engineer" B Capital.