Software Engineer II

KEY RESPONSIBILITIES

• Bridge customer signals and telemetry (primary focus): Translate qualitative signals such as “this customer seems disengaged” into precise telemetry queries, then turn the results into an exec-ready recommendation in one motion, without handoffs or delay.
• Own account health and retention: Define, maintain, and defend the customer health score. Monitor churn and retention, and surface expansion and risk signals early by tying product usage to business outcomes.
• Reconcile CRM and platform data: Find, explain, and close gaps between CRM records and platform data, so Customer Success, Analytics, and Engineering all work from one trusted version of the truth.
• Lead executive-level QBRs: Run quarterly business reviews a GM would want to sit through, leading with the recommendation and supporting it with clear evidence of customer outcomes.
• Frame and answer business questions with data: Turn vague questions into specific, answerable ones. Build cohort analyses, retention curves, and churn metrics, and clearly separate correlation from causation. Present one clear chart per point, with the narrative first and no dashboard dumps.
• Build and maintain the data foundation: Write and optimize SQL (joins, CTEs, window functions) and use Python/pandas for messy data outside SQL.
• Work in a cloud data warehouse such as Snowflake, apply sound data modeling (ERDs, grain, normalization vs. star schema), and treat data quality as a core responsibility.
• Collaborate across CSM, analyst, and engineering teams: Communicate fluently with each audience, working with product, QA, and operations to deliver reliable, high-quality data and systems.
• Contribute to continuous improvement: Participate in code and query reviews, troubleshoot and resolve data and pipeline defects, and keep improving the processes that connect customer data to decisions.

Qualifications

• YOU MUST HAVE
• 3+ years Customer Success • Owns account health and churn/retention, defines and defends a health score • Runs a QBR a GM would sit through, leads with the recommendation • Ties usage to business outcomes, spots expansion and risk signals
• 3+ years Data Analysis • Frames a vague business question into a specific, answerable one • Cohorts, retention curves, churn rates; knows correlation is not causation • One clear chart per point, narrative first, no dashboard dumps • Python/pandas for messy data outside SQL
• 3+ years Database • SQL: joins, CTEs, window functions, by hand, no tutorial • Reads an ERD, spots a bad grain, understands normalization vs star schema • Works in a cloud warehouse (Snowflake or equivalent), treats data quality as a real problem
• 3+ years Integration layer (weight this heaviest) • Signal to query: "this customer seems disengaged" becomes a telemetry query • Finds and explains CRM vs platform reconciliation gaps • Goes from raw data to exec-ready recommendation in one motion • Speaks CSM, analyst, and engineer without losing any audience
• WE VALUE
• Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics • Familiarity with Agile development methodologies and ability to work effectively in a team environment. • Experience with cloud platforms, microservices architecture, and containerization technologies. • Strong problem-solving skills, attention to detail, and ability to adapt to changing priorities. • Knowledge of cybersecurity principles and best practices. • Experience with automated testing frameworks and DevOps practices.
• BENEFITS OF WORKING FOR HONEYWELL
• In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/) The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Date Posted 10/09/2026
• 3+ years Customer Success
• Owns account health and churn/retention, defines and defends a health score
• Runs a QBR a GM would sit through, leads with the recommendation
• Ties usage to business outcomes, spots expansion and risk signals
• 3+ years Data Analysis
• Frames a vague business question into a specific, answerable one
• Cohorts, retention curves, churn rates; knows correlation is not causation
• One clear chart per point, narrative first, no dashboard dumps
• Python/pandas for messy data outside SQL
• 3+ years Database
• SQL: joins, CTEs, window functions, by hand, no tutorial
• Reads an ERD, spots a bad grain, understands normalization vs star schema
• Works in a cloud warehouse (Snowflake or equivalent), treats data quality as a real problem
• 3+ years Integration layer (weight this heaviest)
• Signal to query: "this customer seems disengaged" becomes a telemetry query
• Finds and explains CRM vs platform reconciliation gaps
• Goes from raw data to exec-ready recommendation in one motion
• Speaks CSM, analyst, and engineer without losing any audience
• Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
• Familiarity with Agile development methodologies and ability to work effectively in a team environment.
• Experience with cloud platforms, microservices architecture, and containerization technologies.
• Strong problem-solving skills, attention to detail, and ability to adapt to changing priorities.
• Knowledge of cybersecurity principles and best practices.
• Experience with automated testing frameworks and DevOps practices.
• In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/)
• The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Date Posted 10/09/2026

ABOUT HONEYWELL