Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud.
We’re transforming the software industry. We’re Flexera. With more than 50,000 customers across the world, we’re achieving that goal. But we know we can’t do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans? Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com
About the Role:
At Flexera, we empower global enterprises by turning IT insights into action. We're seeking a Staff Data Engineer with deep expertise in architecting and optimizing big data platforms, with a strong focus on Databricks. You'll drive the core design and performance of our lakehouse, enabling analytics, AI/ML, and product innovation at scale.
As a senior technical leader, you'll own key components of our data platform — collaborating with architects, data scientists, and engineers to deliver high-performance, scalable solutions. The ideal candidate is a Databricks expert, fluent in modern data engineering, distributed systems, and cloud-native architectures.
Key Responsibilities
- Lead the architecture, design, and evolution of highly scalable, cloud‑native backend systems and APIs.
- Design, build, and own Python-based API services (e.g., FastAPI) that expose data platform capabilities to consumers.
- Design and optimize relational database schemas (PostgreSQL), including indexing, query tuning, and schema migration management.
- Drive technical strategy for reliability, scalability, performance, and cost efficiency across data‑intensive workloads.
- Own complex backend initiatives end‑to‑end, from design through production rollout and operational maturity.
- Own and maintain CI/CD pipelines (GitHub Actions, Terraform) — deploying your own work to production, not handing off to a separate team.
- Debug across system boundaries — trace issues from API layer through database to data pipeline and back.
- Collaborate closely with data engineering, frontend, platform, and SRE teams to ensure cohesive system design and execution.
- Influence engineering standards and best practices around code quality, testing, CI/CD, observability, and operational excellence.
- Review and guide designs and implementations across teams, acting as a trusted technical advisor.
- Mentor senior and junior engineers, helping grow technical depth and leadership within the organization.
- Stay ahead of industry trends in backend systems, cloud platforms, and data engineering, applying them thoughtfully at scale.
Required Qualifications
- Bachelor's or master's degree in computer science, Engineering, or equivalent practical experience.
- 8+ years of backend engineering experience, with a proven track record of building and scaling complex production systems.
- Hands-on Python application/service development — building production APIs and services, not limited to PySpark notebooks or data science scripts.
- Strong RDBMS experience (PostgreSQL preferred) — schema design, complex query authoring and optimization, migration tooling (Flyway), and query-plan-level performance debugging.
- API development ownership — designing, building, deploying, and operating RESTful APIs (FastAPI, Flask, or equivalent).
- CI/CD pipeline ownership — building and maintaining deployment automation (GitHub Actions, Azure DevOps, or similar), not relying on a separate platform team.
- Infrastructure-as-Code — Terraform, or similar. Comfortable provisioning cloud resources yourself.
- Experience building large‑scale data or analytics platforms.
- Strong background in observability, monitoring, and incident‑driven learning — distributed tracing, query profiling, and latency diagnosis (not just dashboard monitoring).
- Experience with security, compliance, and enterprise‑grade SaaS requirements.
- Prior experience in FinOps, cloud cost optimization, or enterprise SaaS platforms.
- Experience with AWS (ECS/Fargate, RDS, S3, IAM, Secrets Manager).
- Experience building AI‑powered backend systems, including LLM‑based or agent‑driven workflows.
Preferred but not required:
- Experience with Power BI Direct Lake mode and semantic modeling for lakehouse-based analytics.
- Familiarity with Mosaic AI, Databricks GenAI capabilities, or Feature Store implementations.
- Contributions to open-source Spark, Databricks community content, or certifications (e.g., Databricks Certified Data Engineer Professional).
Why Join Flexera
- Lead and shape mission‑critical backend platforms used by global enterprises.
- Work on complex, high‑impact problems at the intersection of cloud, data, and cost optimization.
- A collaborative, inclusive, and technically driven culture that values strong engineering judgment.
- Competitive compensation, flexible work arrangements, and clear growth paths for senior technical leaders.
Flexera 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.
Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.
We encourage candidates requiring accommodations to please let us know by emailing [email protected].
Skills Required
- Bachelor's or master's degree in computer science, engineering, or equivalent practical experience
- 8+ years of backend engineering experience building and scaling complex production systems
- Hands-on Python application and production service development
- Strong relational database experience, preferably PostgreSQL, including schema design, query optimization, and migrations
- Experience designing, building, deploying, and operating RESTful APIs
- Experience owning CI/CD pipeline development and maintenance
- Infrastructure-as-Code experience with Terraform or similar tools
- Experience building large-scale data or analytics platforms
- Experience with observability, monitoring, distributed tracing, query profiling, and latency diagnosis
- Experience with security, compliance, and enterprise-grade SaaS requirements
- Experience in FinOps, cloud cost optimization, or enterprise SaaS platforms
- AWS experience, including ECS/Fargate, RDS, S3, IAM, and Secrets Manager
- Experience building AI-powered backend systems, including LLM-based or agent-driven workflows
- Experience with Power BI Direct Lake mode and semantic modeling for lakehouse analytics
- Familiarity with Mosaic AI, Databricks GenAI capabilities, or Feature Store implementations
- Contributions to open-source Spark, Databricks community content, or Databricks certification
Flexera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Flexera and has not been reviewed or approved by Flexera.
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Leave & Time Off Breadth — Time off policies are described as generous, with “unlimited” U.S. PTO, paid holidays, and flexibility that supports work–life balance. Usage experiences can vary by team, but the policy is consistently highlighted as a strength.
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Healthcare Strength — Health coverage is characterized as comprehensive, including medical, dental, vision, mental-health/EAP, and HSA/FSA options. This broad core lineup is consistently presented as a solid part of the package.
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Retirement Support — Retirement offerings include a 401(k) and an employee stock purchase plan, complemented by life and disability insurance. Charitable gift matching and other financial protections round out the support.
Flexera Insights
What We Do
Flexera delivers SaaS-based IT management solutions that enable enterprises to accelerate digital transformation and multiply the value of their technology investments. We help organizations inform their IT with definitive visibility into complex hybrid IT ecosystems, providing unparalleled IT insights that allow them to seize technology opportunities. And we help them transform their IT with tools that deliver actionable intelligence across an ever-increasing range of dimensions to effectively manage, govern and optimize their hybrid IT estate. More than 50,000 customers subscribe to our technology value optimization solutions, delivered by 1,300+ passionate team members worldwide. To learn more, visit flexera.com
Why Work With Us
People work here for, well, the people. People stay for the camaraderie with smart, passionate teams who actually like working together and managers who support them. We also offer competitive benefits, hybrid working and unlimited time off. Our inclusivity scores are in the top benchmark and we are consistently rated a “great place to work.”
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