{"id":461321,"url":"https://alion.io/job/sun-king-senior-data-engineer-incentive-compensation","title":"Senior Data Engineer – Incentive Compensation","company":{"id":177485,"name":"Sun King","domain":"sunking.com","url":"https://alion.io/company/sun-king","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New Delhi, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":10000,"max_usd":24000,"period":"year","method":"role_seniority_country_cell","sample_n":18},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Bitbucket","optional":false},{"name":"Git","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-05T11:06:27Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T16:31:52Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Job location: Remote in India \nAbout the role:\nWe are looking for a Senior Data Engineer - Incentive Compensation to own the end-to-end accuracy, automation, and continuous improvement of Sun King's agent and staff incentive and commission systems. This role sits at the intersection of data, business logic, and stakeholder collaboration - requiring someone who can translate complex incentive rules into reliable automated workflows, identify and resolve discrepancies proactively, and communicate findings clearly to both technical and non-technical audiences.\nThe ideal candidate brings problem-solving skills, a structured approach to investigating data issues, a data quality-first mindset, and the ability to build trust with field teams and business stakeholders by ensuring incentive outcomes are fair, timely, and well understood.\nWhat you will be expected to do\nOwn the design, maintenance, and continuous improvement of incentive calculation pipelines, ensuring accuracy and consistency across all agent incentive outputs.\nLead the end-to-end automation of the incentive pipeline.\nAutomate every incentive process to make it event based and not schedule based.\nTranslate business incentive rules and policy changes into automated, auditable data workflows in collaboration with the Data Engineering team.\nBuild and maintain monitoring and alerting systems to proactively detect anomalies in commission outputs before they impact agents.\nImplement rigorous quality assurance frameworks and reconciliation dashboards to ensure 100% accuracy and auditability for every dollar disbursed.\nArchitect the system to handle multi-line-of-business (Phones, Inverters, LPG) and multi-country complexities without increasing manual overhead.\nServe as the final gatekeeper for business logic changes, partner with Sales and Finance VPs to translate new commission structures into scalable technical requirements.\nWork with Finance, Operations, Payroll managers and field management teams to understand incentive program requirements and ensure data solutions reflect ground-level realities.\nEquip the teams with right tools and information to handle escalations from the agents.\nYou might be a strong candidate if you have/are\nBachelor's degree in Statistics, Economics, Finance, Computer Science or any quantitative fields. \n3+ years of experience in a data analytics engineer, business intelligence, or incentive operations role.\nGood proficiency in Python and SQL for data extraction, transformation, and validation.\nProficiency in Git and Bitbucket and airflow concepts and usage.\nDemonstrated ability to investigate complex data discrepancies, form hypotheses, and drive issues to resolution\nExperience working with BI tools (e.g. Looker, Tableau, Redshift) and translating business into data models.\nGood stakeholder management skills, comfortable presenting findings to non-technical audiences and managing expectations across multiple teams.\nAttention to detail with a strong sense of ownership over data accuracy and process reliability.\nGood written and verbal communication skills, with the ability to document processes clearly and explain incentive logic to field teams.\nAdaptable and able to thrive in a fast-paced, cross-functional environment.\nPrior experience in incentive design, commission operations, or agent-facing programs is a strong plus.\nEnthusiasm for mentoring others and building team capability around incentive data literacy.\nWhat Sun King offers\nProfessional growth in a dynamic, rapidly expanding, high-social-impact industry\nAn open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.\nA truly multicultural experience: You will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.\nStructured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for 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