{"id":2814277,"url":"https://alion.io/job/leapfrog-technology-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2894254,"name":"Leapfrog Technology","domain":"lftechnology.com","url":"https://alion.io/company/lftechnology","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kathmandu, Nepal"],"countries":["NP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":69000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-25T04:33:45Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-22T16:50:43Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"About Leapfrog\nLeapfrog is on a mission to be a role model technology company. Since 2010, we have relentlessly worked on crafting better digital products with our team of superior engineers. We’re a full-stack company specializing in SaaS products and have served over 100 clients with our mastery of emerging technologies.\nWe’re thinkers and doers, creatives and coders, makers and builders- but most importantly, we are trusted partners with world-class engineers. Hundreds of companies in Boston, Seattle, Silicon Valley, and San Francisco choose us to gain speed, agility, quality, and stability, giving them an edge over their competitors.\nAbout the role\nWe are seeking a Data Engineer to design, build, and optimize scalable data platforms, ETL/ELT pipelines, and data warehouses that power analytics, AI, and business applications. The ideal candidate has strong software engineering and database fundamentals, cloud experience, and expertise in data modeling, orchestration, and automation, with a passion for delivering reliable, secure, and high-quality data solutions.\nKey Responsibilities\nDesign, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform data from diverse sources into data warehouses and data lakes.\n\nBuild and optimize data models, database schemas, and storage solutions to support high-performance data processing.\n\nManage relational and NoSQL databases, ensuring performance, scalability, security, and data integrity.\n\nDevelop SQL objects including stored procedures, functions, triggers, views, and optimized queries for efficient data processing.\n\nDesign and maintain OLTP and OLAP data systems, including dimensional modelling and data warehouse architectures.\n\nImplement data validation, monitoring, and quality assurance processes to ensure data accuracy and reliability.\n\nDevelop and integrate REST APIs for data ingestion, distribution, and retrieval.\n\nAutomate workflows and orchestrate complex data pipelines using Apache Airflow and other ETL automation tools.\n\nCollaborate with Software Engineers, Product Managers, and business stakeholders to deliver scalable data solutions.\n\nContribute to data governance, security, documentation, and engineering best practices.\n\nParticipate in code reviews, CI/CD processes, and Git-based collaborative development workflows.\n\nContinuously evaluate and adopt modern technologies, cloud services, and AI-powered development practices.\n\nRequirements\nStrong proficiency in Python and SQL. Experience with PL/SQL and/or T-SQL is preferred.\n\nWell-versed in at least one programming language such as Python, JavaScript, or similar.\n\nExperience with relational databases such as PostgreSQL, MySQL, SQL Server, Oracle, or similar. Familiarity with NoSQL databases such as MongoDB or Elasticsearch.\n\nExperience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Familiarity with cloud services including S3, Redshift, Glue, Athena, RDS, Lambda, BigQuery, or equivalent.\n\nExperience with OLTP and OLAP database architecture, best practices, dimensional modelling, and data warehouse design.\n\nWorking knowledge of Docker, containers, Kubernetes, and cloud-native infrastructure.\n\nExperience with Apache Airflow for workflow orchestration.\n\nFamiliarity with DBT (Data Build Tool).\n\nStrong understanding of programming fundamentals, object-oriented programming, data structures, algorithms, and software engineering principles.\n\nStrong computing foundation with excellent analytical and problem-solving skills.\n\nEnd-to-end understanding of software architecture and application layers, including Frontend, Backend, REST APIs,\n\nKnowledge of Power BI, Tableau, or other BI/visualization tools is an advantage.\n\nProficient working knowledge of Git and Git-based development workflows.\n\nPreferable Skills:\nExperience with Prompt Engineering and Retrieval-Augmented Generation (RAG).\n\nFamiliarity with GenAI orchestration frameworks such as LangChain, LlamaIndex, or similar tools for building and integrating AI-powered applications.\n\nUnderstanding of Large Language Models (LLMs), embeddings, vector databases, AI APIs, and AI-assisted development workflows is an added advantage.\n\nFundamentals of Artificial Intelligence (AI) and practical exposure to Generative AI technologies are a plus.\n\nEducation & Experience:\nBachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related discipline is preferred.\n\n5+ years of professional experience in Data Engineering, Software Engineering, Database Development, or a related technical role.\n\nRelevant internships, open-source contributions, and personal projects demonstrating practical expertise are valued.\n\nProfessional certifications are a plus, including but not limited to:\nAWS Certified Data Engineer - Associate\n\nGoogle Cloud Professional Data Engineer\n\nMicrosoft Azure Data Engineer Associate\n\nLife at Leapfrog:\nWork with talented engineers and remarkable professionals in Nepal, the US, and Europe, building state-of-the-art digital health products.\n\nHave an amazing career growth plan with support from experienced mentors and unlimited learning opportunities.\n\nBe a part of an experienced team-apply the best industry practices, get mentored by experienced professionals, and be ready to mentor the new ones.\n\nGet exposure to clients who are leading entrepreneurs and startups from Silicon Valley.\n\nYour work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide.\n\nYou will get the flexibility to work remotely or in the office- we value accountable freedom.\n\nGet growth opportunities, not just in your work. We organize various internal initiatives where you can be a part of a bigger learning community with webinars, knowledge-sharing sessions (KSS), and internal conferences.\n\nBe a part of a safe workplace where it’s okay to fail fast- get constructive feedback and grow as you move ahead.\n\nReceive recognition for your contributions and the positive impact you create. We always look for opportunities to celebrate our efforts, play games, and have fun together!\n\nYou will have a lot of fun at Leapfrog- there’ll never be a dull day.\n\nBenefits and perks:\nWe believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life.\nDaily Work Support\nHybrid work: Work from office or home, depending on our flexible roster\n\nSupport for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.\n\n5-day workweek: Enjoy weekends off and return refreshed on Mondays.\n\nFood: Access to healthy meals while on-site.\n\nProfessional Growth\n'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.\n\nChild scholarship: Scholarships for your child in selected schools.\n\nBi-annual bonus: Get timely festival and company bonuses.\n\nAdvance salary: Request salary in advance.\n\nWork/Life Balance\nPaid time-offs: Annual, sick, compensation, and bereavement leaves.\n\nMaternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.\n\nPaternity leave: 11 days of paid paternity leave and reduced workload after.\n\nMenstruation leave: 6 days of paid menstruation leave annually.\n\nWe take care of you\nYour well-being: Company-funded counseling services from certified therapists as well as COVID care services.\n\nRetirement fund: Social security fund with health and accidental insurance.\n\nCelebrating your efforts\nEngagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!\n\nExposure: Visit and work in the States and build better client rapport.\n\nRecognition: In-house awards, appreciation platforms, and 5th-anniversary gifts!","description_format":"text","description_chars":7907,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Accidental insurance","Dental insurance","Growth opportunities","Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Software","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-18T11:45:34Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.649,"p_room":0.45,"age_days":58,"expected_fill_days":35,"reasons":["conf:4","win:tail"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/leapfrog-technology-senior-data-engineer","json_url":"https://alion.io/job/leapfrog-technology-senior-data-engineer.json","meta":{"generated_at":"2026-10-22T17:24:29Z","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":18338,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":2894254},"rest":"https://alion.io/mcp/rest/get_company?id=2894254"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fleapfrog-technology-senior-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%2Fleapfrog-technology-senior-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%2Fleapfrog-technology-senior-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/leapfrog-technology-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fleapfrog-technology-senior-data-engineer"}]}