{"id":1640226,"url":"https://alion.io/job/enverus-staff-data-engineer","title":"Staff Data Engineer","company":{"id":179426,"name":"Enverus","domain":"enverus.com","url":"https://alion.io/company/enverus","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brno, Czech Republic"],"countries":["CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":135000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":564},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"ElasticSearch","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-01T21:58:50Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-10T23:12:55Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Description\nWhy YOU want this position\nAt Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world. \nWe are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.\nThe energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.\nAre you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.\nThe Team\nOur Data Engineering team builds and maintains the pipelines that manufacture and deliver energy-related data powering Enverus's customer-facing applications. We sit at the intersection of data infrastructure and domain expertise, transforming raw energy and geoscience data into reliable, production-grade assets that our customers depend on every day.\nWe are looking for a Staff Data Engineer who combines strong hands-on engineering with the ability to collaborate across engineering, QA, and product management teams.\nYou will join a collaborative, fast-moving team of data engineers who own the full lifecycle of data manufacturing - from ingestion through transformation and delivery. We move quickly and hold a high bar for code quality and system design. Engineers here work on meaningful problems across cloud infrastructure, pipeline architecture, and AI integration.\nPerformance Objectives\nContribute as a staff developer on the data engineering team, collaborating to deliver on priorities developed in conjunction with the product management group.\n\nBuild and maintain scalable data manufacturing pipelines using Databricks, PySpark, and modern ETL patterns.\n\nIntegrate new energy data sources into existing pipelines and applications, and modernize data manufacturing processes for improved reliability.\n\nDrive the integration of LLM and GenAI technologies into data extraction and transformation workflows.\n\nCompetitive Candidate Profile\nProficiency with ETL pipeline development using Databricks/Unity Catalog and PySpark.\n\nExperience with data modeling, lineage tracking, and schema management.\n\nFamiliarity with CI/CD and DevOps practices for data pipelines using GitHub.\n\nHands-on experience with cloud technologies including AWS S3, IAM, and Lambda.\n\nExperience with relational databases such as SQL Server or PostgreSQL.\n\nSkills that stand out\nExperience integrating LLM or GenAI technologies into data workflows.\n\nFamiliarity with Airflow for pipeline orchestration.\n\nKnowledge of Kubernetes or ArgoCD for infrastructure and deployment automation.\n\nBackground in energy or geoscience domain data.\n\nOur Technology Stack\nDatabricks, Unity Catalog, PySpark, Python, AWS S3, AWS IAM, AWS Lambda, SQL Server, PostgreSQL, GitHub, Airflow, ElasticSearch, ArcGIS, Kubernetes, ArgoCD","description_format":"text","description_chars":3610,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Providers & Datasets","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-10-01T21:58:50Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.637,"p_room":0.473,"age_days":8,"expected_fill_days":5,"reasons":["conf:3","velocity","win:tail"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/enverus-staff-data-engineer","json_url":"https://alion.io/job/enverus-staff-data-engineer.json","meta":{"generated_at":"2026-10-11T00:16:39Z","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","counted_by":"address","units_charged":1,"used_today":171,"day_limit":5000,"remaining_today":4829,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"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":179426},"rest":"https://alion.io/mcp/rest/get_company?id=179426"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fenverus-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%2Fenverus-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%2Fenverus-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/enverus-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fenverus-staff-data-engineer"}]}