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# Analytics Engineer

- **Company:** OpenKyber LLC
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Data Analysis, JIRA, Microsoft Azure, Business Intelligence Development, Information Engineering, Extract Transform Load (ETL), Data Migration, Scrum Methodology, Power BI, Tableau (Software), Snowflake, Functional Dependencies, Looker Analytics, Databricks
- **Published:** October 6, 2026
- **Apply:** https://www.careerjet.com/jobad/us5f4d94a8b1b9b2bdb07681a60c5f70c9

## About the Role

* 3+ years as a Scrum Master/Agile Coach, ideally with technical teams
 * Strong grasp of Scrum, Kanban, and hybrid frameworks
 * Familiarity with data concepts (ETL/ELT, pipelines, data quality, BI cycles)
 * Excellent facilitation, communication, and conflict-resolution skills
 * Proficiency with agile tooling (Jira, Azure DevOps, etc.)

Preferred

 * CSM, PSM, or SAFe Agilist certification
 * Familiarity with dbt, Airflow, Snowflake, Databricks, Looker/Tableau/Power BI
 * Experience in scaled agile environments (SAFe, LeSS)

For applications and inquiries, contact:hirings@openkyber.com

## Description

About the Role We're looking for an experienced Scrum Master to embed within our Data team - data engineers, analytics engineers, data scientists, and BI developers - driving agile delivery of pipelines, models, and data products. Ideal for someone who understands both agile facilitation and the unique rhythms of data work (long-running pipelines, data quality gates, cross-functional dependencies). Roles & Responsibilities

 * Facilitate Scrum ceremonies (planning, stand-ups, backlog refinement, review, retros) for one or more data squads
 * Partner with the Data Product Owner to maintain a healthy backlog of pipeline, infrastructure, and analytics work
 * Identify and remove blockers, including cross-team dependencies with platform, product, and business stakeholders
 * Track sprint metrics (velocity, burndown, cycle time, incident rates) and report trends to leadership
 * Coach the team on agile best practices and continuously improve ways of working
 * Manage dependencies between data engineering, analytics, and downstream consumers
 * Support release coordination for pipelines/models, tracking data quality and SLAs
 * Foster a collaborative, psychologically safe team culture
 * Manage data-specific risks - schema changes, upstream instability, governance checkpoints