{"id":1001679,"url":"https://alion.io/job/payrails-senior-data-engineer","title":"Senior Data Engineer","company":{"id":173381,"name":"Payrails","domain":"payrails.com","url":"https://alion.io/company/payrails","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":153000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CI/CD","optional":false},{"name":"Python","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"BigQuery","optional":true},{"name":"Docker","optional":true},{"name":"Flink","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Kubernetes","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-17T08:47:40Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-18T08:54:34Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"About Payrails\nPayrails is a global payment software company helping leading enterprises to take control of their payment operations and maximize performance. With deep experience in the payments space and firsthand knowledge of merchants' challenges, we’ve seen how fragmented, complex, and inefficient these systems can become. Now, we are setting a new industry standard for how enterprises around the world manage and optimize payments, with more control, visibility and flexibility than ever before.\nOur vision is to reimagine payments from the ground up. We are building a deeply integrated meta layer that spans the entire payment lifecycle with a modular architecture. This helps us give leading brands building blocks to craft solutions to most complex operational challenges, tailor seamless customer experiences and grow their business.\nWe are backed by some of the world’s top investors including Andreessen Horowitz, HV Capital, EQT Ventures and General Catalyst, who share our mission to simplify payment complexity globally.\nAt Payrails, we’re committed to building a team of exceptional people - not just talented, but driven to build, solve, and deliver at the highest level. Excellence isn’t just a value here; it’s a way of working. We believe that great people thrive in environments where there’s trust, clarity, and shared purpose. We work openly and collaboratively, with deep respect for each other’s craft. Everyone is encouraged to understand the bigger picture - what we’re building, why it matters, and what stands in the way. When people have that context, they move faster, take ownership, and make better decisions. We care about creating a culture where people feel inspired to do their best work and a deep sense of responsibility to help us bring our vision to life. Success at Payrails means staying focused on the problems that matter most, and executing with purpose.\nYour team\nAt Payrails, data is at the core of everything we do. We don’t just analyze data; we turn it into actionable insights that fuel smarter decision-making and drive the future of our products. As we continue to revolutionize the payments industry we are seeking an exceptional Senior Data Engineer to help us in our mission.\nOur tech team offers you the chance to work alongside a group of highly ambitious and knowledgeable Engineers, while being faced with complex problems that affect customers on a global scale.\nHow you will make an impact\nWork alongside a talented team of analysts, data scientists and engineers to build data products and services that meet business requirements.\n\nDesign, develop and maintain robust, scalable and observable batch and real-time data pipelines.\n\nArchitect, build and maintain the data infrastructure at Payrails.\n\nAdvocate for and implement data governance and security best practices.\n\nContribute to tooling that improves data quality, CI/CD workflows, and data observability.\n\nCollaborate with cross-functional teams to understand requirements and design optimal solutions.\n\nWhat we are looking for\nYou have 5-7 years of extensive experience in data engineering roles building reliable, scalable and observable production-grade data pipelines and services.\n\nYou have strong proficiency in Python. 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