{"id":1344568,"url":"https://alion.io/job/blueshieldca-data-engineer-principal","title":"Data Engineer, Principal","company":{"id":1766006,"name":"BlueShieldCA","domain":"blueshieldca.com","url":"https://alion.io/company/blueshieldca","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oakland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":127000,"max_usd":250000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":246},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Master Data Management","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-23T16:34:12Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-09-28T14:37:02Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"Your Role\nThe Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Principal will report to the Sr Manager, Data Solutions / Director. In this role you will be partnering with Enterprise Architects, Portfolio, Analytics and Data engineering teams for designing technical solutions and building data products to meet enterprise data needs. You will be responsible for driving the data product by designing and implementing cloud data lakes, data warehouse and data mart solutions.\nOur leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.\n Your Work\nIn this role, you will:\nLead the design, development, and implementation of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts.\n\nEngineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured data from diverse internal and external sources.\n\nApply advanced data modeling techniques (including Data Vault 2.0, dimensional, and domain-oriented models) to support analytics and data products.\n\nPartner with Solution Design, Architecture, and Product teams to ensure technical designs are implemented accurately, efficiently, and securely.\n\nBuild and optimize data solutions on cloud platforms (e.g., Snowflake, Databricks, Synapse) with a focus on performance, scalability, reliability, and cost efficiency.\n\nImplement data quality, validation, observability, lineage, and governance controls embedded directly into data pipelines.\n\nChampion and apply DevOps and DataOps best practices, including CI/CD, automated testing, infrastructure as code, monitoring, and alerting.\n\nProvide hands-on technical leadership and mentorship to senior and mid-level data engineers, promoting engineering standards and best practices.\n\nCollaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable outcomes.\n\nIdentify performance bottlenecks, reliability risks, and optimization opportunities across data platforms and workflows.\n\nSupport integration of AI/ML-ready data assets, ensuring data is trustworthy, well-modeled, and accessible for advanced analytics use cases.\n\nAct as a technical thought leader, advocating for modern data engineering patterns, tools, and practices aligned to enterprise strategy.\n\n Your Knowledge and Experience\nRequires a bachelor's degree or equivalent experience.\nRequires a minimum of 10 years of relevant data engineering experience.\nExperience supporting enterprise AI/ML, advanced analytics, and data product ecosystems.\n\nExpertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design.\n\nDemonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent.\n\nExpert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.\n\nDemonstrated enthusiasm for AI and emerging technologies, with solid understanding of AI/ML concepts and hands-on experience applying AI-driven solutions in enterprise environments.\n\nHands on experience with SQL, Python, DBT Cloud and DBT core. Expert in one or more of NoSQL and database appliances and platforms (Snowflake, Synapse, Databricks)\n\nProven ability to design and scale large-volume, high-performance data platforms leveraging parallel and distributed architectures.\n\nAdvanced knowledge of CI/CD, source control, and agile delivery tooling (e.g., Git, Bitbucket, Jira).\n\nExperience in healthcare, regulated environments, or large enterprises is strongly preferred.","description_format":"text","description_chars":4039,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-09-27T16:21:10Z"}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.511,"p_room":0.28,"age_days":66,"expected_fill_days":19,"reasons":["conf:6","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/blueshieldca-data-engineer-principal","json_url":"https://alion.io/job/blueshieldca-data-engineer-principal.json","meta":{"generated_at":"2026-09-29T02:58:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2631,"day_limit":5000,"remaining_today":2369,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}