Senior Data Platform Engineer
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Salary
$270k – $410k per year
Location
Remote (United States, China, India, Germany, Japan, France, Russia, United Arab Emirates, United Kingdom, Argentina, Australia, Austria, Belarus, Belgium, Bosnia and Herzegovina, Brazil, Bulgaria, Canada, Colombia, Croatia, Cyprus, Czech Republic, Denmark, Egypt, Finland, Hungary, Indonesia, Ireland, Israel, Italy, Kazakhstan, Kenya, Kyrgyzstan, Malaysia, Mexico, Montenegro, Netherlands, New Zealand, Nigeria, Norway, Pakistan, Philippines, Poland, Romania, Saudi Arabia, Serbia, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, Ukraine, Uzbekistan, Vietnam, Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Armenia, Aruba, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belize, Benin, Bermuda, Bhutan, Bolivia, Botswana, British Virgin Islands, Brunei Darussalam, Burkina Faso, Burundi, Cambodia, Cameroon, Cape Verde, Cayman Islands, Chad, Chile, Central African Republic, Comoros, Cook Islands, Costa Rica, Cuba, Curaçao, Djibouti, Dominica, Dominican Republic, East Timor, Ecuador, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Falkland Islands, Faroe Islands, Fiji, French Guiana, French Polynesia, Gabon, Gambia, Georgia, Ghana, Greece, Greenland, Grenada, Guadeloupe, Guam, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Iceland, Iran, Iraq, Isle of Man, Jamaica, Jordan, Kiribati, Kosovo, Kuwait, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Maldives, Mali, Malta, Marshall Islands, Martinique, Mauritania, Mauritius, Mayotte, Micronesia, Moldova, Monaco, Mongolia, Montserrat, Morocco, Mozambique, Namibia, Nauru, Nepal, New Caledonia, Nicaragua, Niger, Niue, Norfolk Island, North Korea, North Macedonia, Northern Mariana Islands, Oman, Palau, Panama, Papua New Guinea, Paraguay, Peru, Pitcairn Islands, Portugal, Puerto Rico, Qatar, Réunion, Rwanda, Samoa, San Marino, Senegal, Seychelles, Sierra Leone, Sint Maarten, Slovakia, Slovenia, Solomon Islands, Somalia, South Sudan, Sri Lanka, Sudan, Suriname, Syria, Tajikistan, Tanzania, Togo, Tokelau, Tonga, Tunisia, Turkmenistan, Tuvalu, Uganda, Uruguay, Vanuatu, Venezuela, Western Sahara, Yemen, Zambia, Zimbabwe, Singapore, Gibraltar)
Seniority
Senior · 7+ years exp
Employment
Contractor
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 4, 2026.
Overview
Company
Impact
Profile match
Alpheva AI provides expert LLM training data, human feedback, model evaluations, and agent environments grounded in real professional workflows.
Assess large-scale batch and streaming architectures, lakehouse design, data contracts, orchestration, lineage, and production data quality.
Review AI-generated pipelines for correctness, idempotency, schema evolution, recovery behavior, observability, and cost-aware scalability.
Identify weak ownership boundaries, silent data-quality failures, brittle dependencies, and governance gaps that would surface in production.
Provide practical corrections using SQL, Spark, Kafka, dbt, Airflow, and comparable modern data-platform patterns.
Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.
Responsibilities
- Evaluate advanced domain tasks and AI-generated responses for factual accuracy and professional judgment.
- Apply current standards, methods, and risk considerations from technology & computing.
- Document errors, edge cases, and the reasoning behind an ideal response.
- Collaborate asynchronously with Alpheva's research and evaluation teams.
Required Qualifications
- 7+ years building production data platforms or analytics infrastructure
- Advanced SQL plus expertise in Spark, Kafka, dbt, Airflow, or comparable systems
- Experience designing reliable, observable, governed data products at scale
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