Data Engineer, Consultant
Ascendiun
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- Location
- Oakland, CA
- Job type
- Full time
- Posted
- Nov 6
- 2 days ago
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Career path
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About the company
Ascendiun
Hospital & health care · 2 to 10 employees
What you'll do
- Drive end-to-end delivery of complex data engineering solutions across cloud data platforms
- Translate solution designs and business requirements into scalable, secure, and production-ready data products
What you need
- Requires a bachelor's degree or equivalent experience.
- Requires a minimum of 7 years of data engineering experience.
- Advanced hands‑on expertise in SQL, including automation and pipeline optimization
- Strong experience with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory
- Extensive experience with modern data platforms including Snowflake, Databricks, and orchestration tools such as Airflow or Tidal
- Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing
- Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices
- Strong understanding of security, privacy, and compliance requirements in regulated environments
- Experience working with largescale, distributed data platforms and parallel processing architecture
- Excellent communication and stakeholder engagement skills
- Proven ability to lead technically without formal people management responsibility
- Preferred: Healthcare industry experience, including exposure to Epic or similar ecosystems
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Read the full posting here
The 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,Consultant will report to the Sr Manager, Data Solutions / Manager. This role serves as a senior individual contributor and technical leader, responsible for driving end‑to‑end delivery of complex data engineering solutions across cloud data platforms. The DE‑C partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, and production‑ready data products.