Data Analytics Engineer – Subscription & Partner Integrations

aKUBE

Data Analytics Engineer tasked with building and maintaining partner data pipelines and integrations for data analytics. Collaborating with Product and Engineering teams to enhance data workflows and insights.

Posted 5/1/2026contractLos Angeles • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Build and maintain partner data pipelines across APIs, S3, and event flows
Develop Python and SQL scripts for ingestion, transformation, and delivery
Own partner integrations including onboarding, monitoring, and issue resolution
Build dashboards for subscriber metrics, revenue, and partner performance
Perform analysis on funnel, retention, billing, and attribution
Troubleshoot data discrepancies and manage incident response
Define KPIs, data models, and integration specifications
Support QA and UAT for integration releases
Work with Product, Engineering, Finance, and external partners

Requirements

What you’ll need

5+ years in analytics engineering, data engineering, or similar
Strong experience with SQL, Python, and cloud data platforms
Experience with API integrations and file-based data exchange
Hands-on dashboard development for business users
Experience managing partner or vendor data integrations end-to-end
Strong experience with data pipelines, monitoring, and troubleshooting

Benefits

Comp & perks

Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLAPI integrationsdata pipelinesdashboard developmentdata transformationdata ingestiondata analysisKPI definitiondata modeling

Soft Skills

problem-solvingcommunicationcollaborationmonitoringtroubleshootingissue resolutionorganizational skillsanalytical thinkingattention to detailstakeholder management