{"id":2358585,"url":"https://alion.io/job/unite-us-staff-data-engineer","title":"Staff Data Engineer","company":{"id":687813,"name":"Unite Us","domain":"uniteus.com","url":"https://alion.io/company/uniteus","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-10-12T13:42:13Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T17:22:29Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Unite USA Inc. dba Unite Us\n\nStaff Data Engineer\nLocation: New York, New York\nJob Description\n\nThe Staff Data Engineer will lead enterprise-wide data architecture strategy and long-term data\nplatform design. Evaluate and approve major technical designs, including establishing\nengineering best practices. Serve as technical advisor to leadership and influence product/data\nroadmap. Champion data governance, democratization, and scalable data standards. Work with\ncross functional teams including the Solutions Delivery, Business Intelligence; Predictive\nAnalytics, and Enterprise Services teams to assist with and support any data-related technical\nissues and/or needs. Analyze, manipulate, and process large sets of data using statistical\nsoftware. Develop ETL (Extract, Transform, Load) and data pipeline solutions using Airflow,\nDBT, Python, and Snowflake to load a data warehouse. Design and manage ETL workflows to\nsupport large-scale ingestion, transformation, and loading of data. Build and scale CI/CD\npipelines and enterprise-wide data quality frameworks. Test internal data pipelines for reliability\nand performance. Test, validate, and reformulate models to ensure accuracy. Complete and\nimprove monitoring and validation processes to maintain pipeline reliability and data accuracy.\nWrite new functions or applications in programming languages to conduct analysis. Build\nstreaming pipelines with Confluent Kafka for event-driven processing. Build dashboards and\nmonitors for pipeline health, freshness, uptime, and SLA compliance. Apply data modeling to\nextract and analyze information from large structured and unstructured datasets. Telecommuting\navailable anywhere in the United States. Annual salary between $175,000 - $200,000.\nJob Requirements\n\nRequires at least a Master’s degree or foreign equivalent in Data Science, Applied Computer\nScience, Computer Science or a related field. Must possess 4 years (48 months) of experience\nwith all of the following: (a) developing and optimizing scalable pipelines using Apache Airflow\nand Python; (b) building streaming pipelines using Kafka; (c) tuning big data systems using\nKafka and Hive; (d) using Spark to create jobs for batch and streaming analytics; (e) writing and\nusing complex SQL queries to retrieve data from data warehouses for analysis and reporting (f)\nusing AWS for data processing and large-volume workloads; (g) automating deployment of code\nand processes using Python; (h) working with cloud-based infrastructure; (i) building Datadog\ndashboards to monitor pipelines and system performance; (j) using Docker and Kubernetes to\nimprove and validate containerization and automation reliability; (k) implementing Continuous\nIntegration/Continuous Deployment (CI/CD) using Jenkins; and (l) utilizing all of the following:\nGitHub as a code repository, Windows and Linux operating systems. Experience may be gained\nconcurrently. Telecommuting available anywhere in the United States.\nBenefits: Paid Parental Leave; 401K Match; Flexible Vacation Time; Medical, Dental and\nVision Coverage; Commuter Benefits.","description_format":"text","description_chars":3081,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Data & Interoperability","Care Coordination & Population Health"],"lifecycle":[{"event":"open","at":"2026-10-12T15:22:09Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":53,"reasons":["conf:2","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":false},"html_url":"https://alion.io/job/unite-us-staff-data-engineer","json_url":"https://alion.io/job/unite-us-staff-data-engineer.json","meta":{"generated_at":"2026-10-13T17:59:43Z","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":27451,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":687813},"rest":"https://alion.io/mcp/rest/get_company?id=687813"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funite-us-staff-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%2Funite-us-staff-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%2Funite-us-staff-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/unite-us-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funite-us-staff-data-engineer"}]}