{"id":3038950,"url":"https://alion.io/job/hed-data-platform-developer","title":"Data Platform Developer","company":{"id":1967944,"name":"HED","domain":"hed.co","url":"https://alion.io/company/hed-co","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":{"grade":"A","score":92,"open_postings":18,"ghost_share":0,"stale_share":0.111,"repost_share":0,"time_to_fill_p50_days":94,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":95000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Grafana","optional":false},{"name":"Loki","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-21T19:25:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T01:09:08Z","board_verified":false,"closed_at":"2026-10-23T01:09:08Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Data Platform Developer\nHED is hiring a Data Platform Developer to develop, evaluate, and improve the AI capabilities that support our people and our practice. \nAbout HED\nWe are a team that is full of ideas, experience, creativity, passionate opinions, insatiable curiosity, uncompromising integrity, commitment, and skill. Our culture is about aspiration, embracing change and challenges, listening to (and learning from) each other, encouraging continual learning, and inspiring collective growth. As an inclusive, integrated architecture and engineering practice, we value the diversity of perspectives, experiences, abilities, and expertise that advance both the work we do, and the world we share.\nPosition Summary\nAs part of the Data & AI team, you will operate and improve a modern lakehouse built on Databricks, Delta Lake, and Unity Catalog, connecting business systems to trusted analytics and emerging AI applications.\nThis is an individual contributor role with meaningful ownership of production pipelines, platform health, data documentation, and continuous improvement. You will partner with analysts, application developers, and business data owners to make information accessible, dependable, and actionable. You will also help shape how AI-assisted tools are safely used to monitor and improve the platform.\nEssential Functions:\nDevelop, operate, and improve ingestion and transformation pipelines across Bronze, Silver, and Gold data layers, integrating sources such as Workday, Deltek, Dataverse, Microsoft Graph, and collaboration systems.\nAdminister and continuously improve the Databricks environment, including workflows, compute standards, data storage, access controls, and Unity Catalog governance.\nMaintain version-controlled, reproducible platform configurations and deployment workflows; identify and resolve differences between source control and production environments.\nImplement automated data quality checks and schema contract tests to protect governed datasets from unexpected changes.\nMonitor pipeline freshness, availability, performance, and cost; maintain actionable alerts, dashboards, and operational runbooks.\nInvestigate and resolve production incidents, coordinate data recovery and backfills, document root causes, and implement preventive improvements.\nMaintain technical lineage, source metadata, the data dictionary, and platform documentation; collaborate with business owners to confirm definitions and accountability.\nAssess downstream impacts of schema changes, coordinate communications with data consumers, and support controlled changes across dependent systems.\nCollaborate with analytics and AI development colleagues to deliver reliable, well-governed data products and evaluate AI-assisted operational workflows.\nContribute to platform architecture, technical standards, and future data-source onboarding as experience and ownership expand.\nRequirements\nAt least 3 years of experience building and supporting production data pipelines on a cloud data platform such as Databricks, Snowflake, Microsoft Fabric/Synapse, or BigQuery.\nStrong SQL and Python skills, with experience using Spark or a comparable distributed data processing framework.\nPractical experience troubleshooting production jobs, recovering or backfilling data, and participating in operational incident response.\nExperience implementing monitoring, alerting, and data reliability practices.\nAbility to write clear technical documentation and communicate effectively with technical colleagues and business stakeholders.\nPreferred: experience with Delta Lake or Apache Iceberg, medallion architectures, Databricks Workflows, Unity Catalog, and Azure Data Lake Storage.\nPreferred: familiarity with infrastructure as code, Git-based CI/CD, automated testing, data catalogs, lineage, and access governance.\nPreferred: experience with Grafana, Prometheus, Loki, cloud cost optimization, AI-assisted development, or enterprise systems such as Workday, Deltek, and Dynamics.\nAbility and interest to learn HED’s specific tools and practices; direct experience with every technology listed is not required.\nPhysical Requirements\nProlonged periods of sitting at a desk and working on a computer.\nAbility to communicate effectively in writing and verbally via phone, video conferencing, and in-person.\nVisual acuity sufficient to perform the responsibilities of the position, with or without reasonable accommodation.\nWork Environment\nHED embraces a hybrid work model that supports autonomy and collaboration, including opportunities to work from home and regular in-office time to connect with teammates and build culture.\nOur offices provide a professional, open-space environment supporting both collaborative and independent work.\nOther Duties\nThis job description is not intended to be a comprehensive listing of all activities, duties, or responsibilities required of the employee. 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