{"id":114701,"url":"https://alion.io/job/kpler-data-engineer-natural-gas-2","title":"Data Engineer - Natural Gas","company":{"id":4764,"name":"Kpler","domain":"kpler.com","url":"https://alion.io/company/kpler","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":79,"open_postings":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":84000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FastAPI","optional":false},{"name":"Python","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Datadog","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Terraform","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-05-06T13:40:51Z","employer_posted_date":"2026-05-06","last_verified_at":"2026-10-16T17:41:20Z","board_verified":true,"closed_at":null,"days_open":163,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":163},"description":"Kpler are looking for a Data Engineer to sit within our Natural Gas business unit and contribute to the build of our new US Gas product, which will complement our existing European Gas product. The product is currently under development and the scope of the role will include data engineering to scale the data sources used for the product, supporting the development of tailored analytics and be instrumental in merging the data across both products.\nYour mission is to:\nCodify, structure, expand and maintain the data scrapers in place\nWork alongside software engineers to develop backend tools and data pipelines that improve the overall quality and reliability of our tracking systems\nCreate clear documentation for tools, data processes, and analytical approaches to ensure knowledge sharing across the team\nDevelop automated checks and monitoring systems that proactively flag data anomalies before they require manual intervention\nEnsure high quality performance of our API to distribute the data to end users\nDiscuss the roadmap in collaboration with Energy Market Analysts and product stakeholders \nRapidly test new approaches to data quality challenges, learning from what works and what doesn't, and scaling successful solutions\nYou could be a match if you are or have:\nCirca 3-5 years' of experience as a data focused Software Engineer\nSignificant experience working with Python (FastAPI is a plus)\nExperience with Postgresql or similar data stores\nProficiency in building and consuming RESTful APIs\nComfortable working with Git, code reviews, and Agile methodologies\nExperience with time-series, events data, normalization, database design\nStrong command of written and spoken English\nUnderstanding of performance optimization and caching strategies\nDesirable:\nHave experience with AWS (or another cloud provider), using Terraform\nExperience with orchestration tool Airflow on a production environment\nExperience with containerization (Docker) and orchestration (Kubernetes)\nKnowledge on hexagonal architecture and medallion architecture\nUsed monitoring solutions (Datadog, Grafana, etc...)\nExperience with NoSQL 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