Senior Analytics Engineer

Posted 15 Hours Ago
San Francisco, CA
140K-160K Annually
Mid level
Artificial Intelligence • Cloud • Software
Harness is the AI-native software delivery platform company.
The Role
The Senior Analytics Engineer will design, develop, and maintain data infrastructure and analytical solutions. Key responsibilities include creating scalable data models, managing ETL processes, analyzing data for insights, optimizing performance, and implementing improvements based on emerging trends and technologies.
Summary Generated by Built In

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 Role

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.

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
  • Must be located in the Bay Area with a preference in working from our SF or MTV office a few days a week. 

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 - 160,000 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

$140,000$160,000 USD

Harness in the news:
  • Harness Grabs a $150m Line of Credit
  • Welcome Split!
  • Harness Recognized in Inc.'s Best Workplace Awards 2022
  • Harness on LinkedIn: America's Great Companies to Work For -- And What You Can Learn From
  • #6 - Glassdoor Best Places to Work 2021 list
  • #17 on Forbes Top 50 Cloud Companies to Work For
  • #47 on LinkedIn’ Top 50 Companies to Work For
  • #2 on Quartz 2021 list best places to work for remote workers
  • 2021 Career Launching Companies List

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 [email protected]. 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.

The Company
HQ: San Francisco, CA
900 Employees
Hybrid Workplace
Year Founded: 2017

What We Do

Harness is a leader in AI-native software delivery, dedicated to empowering developers and engineering teams worldwide. We revolutionize how software is built, tested, deployed, and optimized by driving efficiency, reliability, and speed throughout the software development lifecycle. At Harness, we envision a world where developers focus on innovation, free from repetitive tasks, supported by tools that streamline every step.

Our platform leverages AI and automation across all key pillars of software delivery: Continuous Integration, Continuous Delivery, Feature Flags and Experimentation, Cloud Cost Management, Security Testing, and more. By automating traditionally manual processes that slow down engineering teams, Harness enables organizations to release software faster, reduce errors, and optimize costs—all while enhancing the developer experience and flexibility.

Harness is transforming software delivery on a global scale. As a pioneer in AI-driven automation, we streamline complex development processes, eliminate inefficiencies, and empower developers to innovate freely. Our mission is ambitious: enabling millions of developers to deliver code faster, more reliably, and with greater ease than ever before.

Why Work With Us

Harness is built on a culture of growth, collaboration, and transparency, where team members are encouraged to push boundaries and solve meaningful challenges. We invest in personal and professional development, value work-life balance, and foster a supportive environment—making Harness an ideal place to make a real impact in tech.

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