{"id":2480750,"url":"https://alion.io/job/revenera-staff-data-engineer","title":"Staff-Data Engineer","company":{"id":1976191,"name":"Revenera","domain":"revenera.com","url":"https://alion.io/company/revenera","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":7,"ghost_share":0,"stale_share":0.714,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"FastAPI","optional":false},{"name":"FinOps","optional":false},{"name":"Flask","optional":false},{"name":"Flyway","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Azure","optional":true},{"name":"Feature Store","optional":true},{"name":"Java","optional":true},{"name":"Power BI","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-13T22:37:50Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T22:37:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nWe’re transforming the software industry. We’re Flexera. Withmore than 50,000 customers across the world, we’re achievingthat goal.Butwe knowwe 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 whywe’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace.Learn more atflexera.com\nAbout the Role:\nAt 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.\nAs 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.\nKey Responsibilities\nLead the architecture, design, and evolution of highly scalable, cloud-native backend systems and APIs.\n Design, build, and own Python-based API services (e.g., FastAPI) that expose data platform capabilities to consumers.\n Design and optimize relational database schemas (PostgreSQL), including indexing, query tuning, and schema migration management.\nDrive technical strategy for reliability, scalability, performance, and cost efficiency across data-intensive workloads.\nOwn complex backend initiatives end-to-end, from design through production rollout and operational maturity.\n Own and maintain CI/CD pipelines (GitHub Actions, Terraform) - deploying your own work to production, not handing off to a separate team.\nDebug across system boundaries - trace issues from API layer through database to data pipeline and back.\nCollaborate closely with data engineering, frontend, platform, and SRE teams to ensure cohesive system design and execution.\nInfluence engineering standards and best practices around code quality, testing, CI/CD, observability, and operational excellence.\nReview and guide designs and implementations across teams, acting as a trusted technical advisor.\nMentor senior and junior engineers, helping grow technical depth and leadership within the organization.\nStay ahead of industry trends in backend systems, cloud platforms, and data engineering, applying them thoughtfully at scale.\nRequired Qualifications\nBachelor's or master's degree in computer science, Engineering, or equivalent practical experience.\n8+ years of backend engineering experience, with a proven track record of building and scaling complex production systems.\nHands-on Python application/service development - building production APIs and services, not limited to PySpark notebooks or data science scripts.\n Strong RDBMS experience (PostgreSQL preferred) - schema design, complex query authoring and optimization, migration tooling (Flyway), and query-plan-level performance debugging.\n API development ownership - designing, building, deploying, and operating RESTful APIs (FastAPI, Flask, or equivalent).\n CI/CD pipeline ownership - building and maintaining deployment automation (GitHub Actions, Azure DevOps, or similar), not relying on a separate platform team.\nInfrastructure-as-Code - Terraform, or similar. Comfortable provisioning cloud resources yourself.\nExperience building large-scale data or analytics platforms.\nStrong background in observability, monitoring, and incident-driven learning - distributed tracing, query profiling, and latency diagnosis (not just dashboard monitoring).\nExperience with security, compliance, and enterprise-grade SaaS requirements.\nPrior experience in FinOps, cloud cost optimization, or enterprise SaaS platforms.\nExperience with AWS (ECS/Fargate, RDS, S3, IAM, Secrets Manager).\nExperience building AI-powered backend systems, including LLM-based or agent-driven workflows.\nPreferred but not required:\nExperience with Power BI Direct Lake mode and semantic modeling for lakehouse-based analytics.\nFamiliarity with Mosaic AI, Databricks GenAI capabilities, or Feature Store implementations.\n Contributions to open-source Spark, Databricks community content, or certifications (e.g., Databricks Certified Data Engineer Professional).\nWhy Join Flexera\nLead and shape mission-critical backend platforms used by global enterprises.\nWork on complex, high-impact problems at the intersection of cloud, data, and cost optimization.\nA collaborative, inclusive, and technically driven culture that values strong engineering judgment.\nCompetitive compensation, flexible work arrangements, and clear growth paths for senior technical leaders.\nFlexera 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.\nFlexera 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.\nWe encourage candidates requiring accommodations to please let us know by emailing .","description_format":"text","description_chars":6460,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Billing & Subscription Management"],"lifecycle":[{"event":"open","at":"2026-10-13T22:37:50Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":14,"reasons":["conf:3","win:early"],"computed_at":"2026-10-14T01:47:08Z"},"pay":null,"html_url":"https://alion.io/job/revenera-staff-data-engineer","json_url":"https://alion.io/job/revenera-staff-data-engineer.json","meta":{"generated_at":"2026-10-14T01:47:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2598,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1976191},"rest":"https://alion.io/mcp/rest/get_company?id=1976191"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frevenera-staff-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frevenera-staff-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frevenera-staff-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/revenera-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frevenera-staff-data-engineer"}]}