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.
We are seeking a highly skilled and motivated Senior Analytics Engineer to join our dynamic team. The Analytics Engineer will play a crucial role in designing, developing, and maintaining data infrastructure and analytical solutions to support our company’s needs. This role requires a deep understanding of data architecture, strong analytical skills, and proficiency in various programming languages and tools.
Data Modeling and Architecture:
- Assist with the design and implementation of scalable data models and architecture to support the storage, retrieval, and analysis of large volumes of data.
- Collaborate with cross-functional teams to understand business requirements and translate them into data models and technical specifications.
- Develop and maintain Extract, Transform, Load (ETL) processes to integrate data from multiple sources into our data warehouse or analytical systems.
- Optimize ETL workflows for performance, reliability, and data quality.
Data Analysis and Visualization:
- Work closely with business teams to understand analytical requirements and deliver actionable insights.
- Develop and maintain data pipelines for real-time or batch processing, ensuring data accuracy and consistency.
- Create interactive dashboards and reports using visualization tools.
Performance Optimization:
- Monitor and optimize the performance of data infrastructure and analytical solutions to ensure scalability, reliability, and efficiency.
- Identify bottlenecks and implement solutions to improve query performance, data processing speed, and resource utilization.
Continuous Improvement:
- Stay abreast of industry trends, emerging technologies, and best practices in data engineering and analytics.
- Proactively identify opportunities for process optimization, automation, and innovation to enhance our data capabilities and drive business value.
Work Location
- Remote from within the US
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
The anticipated base salary range for this position is $140,000 - 155,000 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.