{"id":1812238,"url":"https://alion.io/job/unos-senior-data-engineer","title":"Senior Data Engineer","company":{"id":1770417,"name":"Unos","domain":"unos.org","url":"https://alion.io/company/unos-org","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Richmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":102000,"max":136000,"currency":"USD","period":"year","gross":null,"usd_annual":136000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-03T18:52:25Z","employer_posted_date":null,"last_verified_at":"2026-10-04T03:02:42Z","board_verified":false,"closed_at":"2026-10-04T03:02:42Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"United Network for Organ Sharing (UNOS) is seeking a Senior Data Engineer to lead the design and implementation of end-to-end data solutions in an Azure-based cloud environment. The role focuses on building scalable data pipelines and lakehouse architectures, ensuring data quality and reliability, optimizing data platforms, collaborating with cross-functional teams, and mentoring junior engineers.\n\nResponsibilities\nArchitect and implement secure, scalable data pipelines using Azure Data Factory, Azure Functions, and Azure Data Lake Storage\nDesign, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks (PySpark/Spark SQL) to ingest, transform, and process large volumes of structured and unstructured data\nBuild and manage data pipelines using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure Event Hubs, and Azure SQL Database\nImplement data quality, validation, and monitoring frameworks to ensure reliability and accuracy of data pipelines\nCollaborate cross-functionally with data scientists, analysts, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions\nLead modernization and optimization efforts, improving pipeline performance, maintainability, and scalability\nSupport CI/CD practices for data pipelines using tools such as Azure DevOps, Git, and Databricks Repos\nDetect and resolve data quality issues; implement automated audits and monitoring processes\nTroubleshoot and resolve production data pipeline issues, ensuring high availability and minimal downtime\nAct as a technical leader on schema design, performance tuning, and Azure data architecture\nMentor and support junior engineers across data engineering, analytics, and BI teams\nParticipate in and lead code reviews, promoting clean, well-documented, and testable code\nStay current on trends in data engineering and cloud technologies, identifying opportunities to innovate\n\nSkills\n* 8+ years of hands-on experience in data engineering, including designing and implementing enterprise-scale data solutions\n* 2+ years of experience developing and operating Azure cloud-native data platforms\n* Expertise in MS SQL Server, Python (pandas, PySpark), Azure Data Factory, Azure Functions and Azure Data Lake Storage\n* Strong expertise with Azure Databricks, including Spark (PySpark/Scala), Delta Lake, and cluster/job optimization\n* Solid understanding and hands-on experience building Data Lakehouse architecture\n* Experience working with a variety of file formats (e.g., CSV, JSON, XML, Parquet)\n* Experience with version control (Git) and CI/CD pipelines for data engineering workflows\n* Familiarity using REST APIs for data extraction and integration\n* Proven experience designing and implementing data solutions\n* Strong understanding of cloud architecture, data warehousing and modern data stack components\n* Demonstrated ability to perform root cause analysis on data and processing issues\n* Strong problem-solving skills with the ability to explain technical concepts to non-technical audiences\n* A successful history of manipulating, processing and extracting value from large disparate datasets\n* Experience with Big Data technologies such as Databricks, Spark, or Azure Synapse\n* Knowledge of CI/CD workflows, version control, and agile development practices\n* Familiarity with data governance, privacy, and compliance frameworks\n* Experience with data warehousing, analytics tools, and BI platforms\n* Familiarity with streaming data technologies (Azure Event Hubs, Kafka, Structured Streaming)\n* 4-year degree in computer science, engineering or other related IT field of study, or equivalent professional work experience\n* Prolonged periods of sitting at a desk and working on a computer\n* Frequent reaching, handling, and fine manipulation for using office equipment, filing, and managing paperwork\n* Manual dexterity sufficient to operate a keyboard, mouse, and other office tools\n* Occasional standing, walking, and bending\n* Ability to lift up to 10-20 pounds occasionally\n* Vision abilities required include close vision for computer work and reading documents\n\nCompany Overview\nUNOS is a nonprofit on a mission to save and transform lives through research, innovation and collaboration. It was founded in 1984, and is headquartered in Richmond, Virginia, USA, with a workforce of 201-500 employees. Its website is https://www.unos.org/.","description_format":"text","description_chars":4452,"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":[],"lifecycle":[{"event":"open","at":"2026-10-03T21:03:07Z"},{"event":"close","at":"2026-10-04T03:02:42Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":136000,"is_top_pay":false},"html_url":"https://alion.io/job/unos-senior-data-engineer","json_url":"https://alion.io/job/unos-senior-data-engineer.json","meta":{"generated_at":"2026-10-06T00:39:13Z","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":793,"day_limit":5000,"remaining_today":4207,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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":1770417},"rest":"https://alion.io/mcp/rest/get_company?id=1770417"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funos-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%2Funos-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%2Funos-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/unos-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funos-senior-data-engineer"}]}