Staff Software Engineer - Data Platform
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Key skills for this role
Role Overview
Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions to meet business needs.
Implement data quality checks and ensure data integrity and reliability throughout the data lifecycle.
Optimize and tune data pipelines for performance and efficiency.
Troubleshoot and debug data-related issues, and provide timely resolution.
Stay updated with the latest technologies and best practices in data engineering and apply them to improve existing systems.
Document data architecture, processes, and workflows.
Provide support and guidance to junior members of the team.
Key Skills for This Role
Full Job Posting
About the role
Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions to meet business needs.
Implement data quality checks and ensure data integrity and reliability throughout the data lifecycle.
Optimize and tune data pipelines for performance and efficiency.
Troubleshoot and debug data-related issues, and provide timely resolution.
Stay updated with the latest technologies and best practices in data engineering and apply them to improve existing systems.
Document data architecture, processes, and workflows.
Provide support and guidance to junior members of the team.
About you
Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.
9+ yrs of proven experience as a data engineer or similar role, with a strong background in data warehousing, ETL/ELT processes, and data modeling.
Proficiency in programming languages such as Python, Java, or Scala.
Experience with big data technologies such as BigQuery, Spark, Kafka, DBT, SQLMesh etc.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong SQL skills and experience working with relational and NoSQL databases.
Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Experience
Experience with containerization and orchestration tools such as Docker and Kubernetes.
Knowledge of machine learning techniques and frameworks.
Experience with DevOps practices and tools for CI/CD.
Work Location
- Mountain View, CA - Hybrid (3 days / week onsite)
What you will have at Harness
Competitive salary
Comprehensive healthcare benefits
Flexible Spending Account (FSA)
Flexible work schedule
Employee Assistance Program (EAP)
Flexible Time Off and Parental Leave
Monthly, quarterly, and annual social and team building events
Monthly internet reimbursement
Harness in the news:
Accelerating Our Mission to Bring AI to Everything After Code
Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation
How Harness runs 16 “startups within a startup” at scale | Jyoti Bansal
Harness Research Shows AI Visibility Crisis Fueling Security Nightmare
Harness has been named to the Inc. Power Partner list for software delivery success
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
At Harness, we care about your privacy and are committed to protecting your personal data. For additional information on this topic, you can visit our privacy Portal: https://harness-privacy.relyance.ai/
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.
About Harness
AI-native software delivery platform providing continuous integration, delivery, feature flags, cloud cost management, and security testing to accelerate developer workflows.
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