Job Description

Revenera helps product executives build better products, accelerate time to value and monetize what matters. Revenera's leading solutions help software and technology companies drive top line revenue with modern software monetization, understand usage and compliance with software usage analytics, empower the use of open source with software composition analysis and deliver an excellent user experience--for embedded, on premises, cloud, and SaaS products.
The Data Analytics Team at Flexera (Spot team) is on a mission to harness the power of data and transform it into actionable insights that propel our business forward. Our solutions empower decision-makers with robust analytics, seamless data flows, and compelling visualizations.
As we expand our capabilities, we're looking for an End-to-End (E2E) BI / Big Data Developer to join us and play a critical role in designing, developing, deploying, and optimizing data pipelines and business intelligence solutions.
You'll work at the convergence of data engineering and business intelligence, creating scalable, reliable data infrastructure and impactful dashboards.
What You'll Do

• Design, develop, and maintain robust end-to-end data pipelines -- from ingestion to presentation layers
• Develop interactive, insightful Power BI dashboards and reports that surface key business metrics and enable self-service analytics
• Work closely with dev teams, product owners, and business stakeholders to gather requirements, translate business needs into technical solutions, and continuously improve data delivery and usability.
• Implement data model best practices and maintain scalable, well-documented datasets in BigQuery for high-performance analytics.
• Monitor, troubleshoot, and optimize Airflow DAGs and workflows for reliability and efficiency, ensuring data jobs run seamlessly in production.
• Maintain, expand and enhance our internal data lake solution

What We're Looking For
Required Qualifications:

• 3+ years of experience as a BI / Big Data Developer, Data Engineer, or similar role, building end-to-end data solutions in cloud-based environments.
• Hands-on expertise with orchestrating and scheduling complex data workflows (like Airflow).
• Proficiency working with Google BigQuery (or similar cloud data warehouses) -- including data modeling, SQL scripting, and performance optimization.
• Experience developing and publishing dashboards and reports with advanced data visualization (like Power BI).
• Strong understanding of ETL/ELT processes and experience integrating data from heterogeneous sources (APIs, databases, files, SaaS platforms, etc.).
• Strong SQL skills and and scripting languages (e.g., Python) for data transformation and automation tasks.
• Knowledge of best practices in data modeling, data warehousing, and BI architecture.
• Track record of delivering high-quality, production-grade data solutions on time and within scope.

Preferred Qualifications:

• Exposure to data lake architectures, real-time data streaming, or event-driven analytics.
• Familiarity with DevOps concepts: CI/CD pipelines (e.g., GitHub Actions, Jenkins), infrastructure-as-code, and version control.
• Background in Agile methodologies (Scrum/Kanban) and experience working in cross-functional, distributed teams.
• Strong analytical and problem-solving skills, with a passion for turning complex data into actionable insights.
• Excellent communication and collaboration skills -- able to translate between technical and non-technical audiences.

Revenera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations. Regarding disability, we encourage candidates requiring accommodations to please let us know by emailing .