Staff Data Engineer

Harness; Mountain View (CA); Hybrid; USD 185,000 - 225,000; Full time

Job summary

A leading tech company is seeking a Staff Data Engineer to join their Cloud Cost Management team. In this role, you will design and develop data pipelines that optimize cloud spending and enhance data visibility for stakeholders. With a competitive salary and the chance to work on transformative FinOps solutions, this position promises growth and innovation in a hyper-growth environment.

Benefits

Competitive salary

Comprehensive healthcare benefits

Flexible Spending Account (FSA)

Flexible Time Off and Parental Leave

Quarterly team-building events

Qualifications

• 8+ years of hands-on experience in data engineering.
• Expertise in distributed data processing frameworks like Apache Spark.
• Strong SQL and data modeling skills.

Responsibilities

• Design and build scalable data pipelines using modern technologies like Spark and Kafka.
• Collaborate with teams to define data models for cost analytics.
• Mentor other engineers and oversee data quality practices.

Skills

Data Engineering

Cloud Platforms

SQL

Apache Spark

Kafka

Python

Job description

Get AI-powered advice on this job and more exclusive features.

Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers’ pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace.

Harness is led by technologist and entrepreneur Jyoti Bansal, who founded AppDynamics and sold it to Cisco for $3.7B. We’re backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank.

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

Pay transparency

$185,000—$225,000 USD

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 [e-mail]. 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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