Senior Analytics Engineer

Company: Harness Inc
Location: San Francisco
Posted on: November 6, 2024

Job Description:

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 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. About the roleData 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.
    • 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.About you
      • 3-5 years of experience in data engineering, analytics, or a related field, with a proven track record of designing and implementing complex data solutions.
      • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
      • Proven experience as a data analyst, analytics engineer, or similar role in a fast-paced environment.
      • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
      • Strong programming skills in languages such as Python, Java, or Scala.
      • Experience with data modeling, ETL development, and data warehousing concepts.
      • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and related services (e.g., S3, Redshift, BigQuery).
      • Hands-on experience with data visualization tools is a plus.
      • Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team.
      • Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.Work Location
        • Remote from within the USWhat you will have at Harness
          • Flexible Spending Account (FSA)
          • Employee Assistance Program (EAP)
          • Flexible Time Off and Parental Leave
          • Monthly, quarterly, and annual social and team building events
          • Monthly internet reimbursementThe 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. -All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
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Keywords: Harness Inc, Carmichael , Senior Analytics Engineer, Engineering , San Francisco, California