
Data Engineer, Consultant
Darbydale, OHJobSeen 2 days agoSeen in employer's feed 2 days ago
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Job overview
The Data Engineer, Consultant is a senior individual contributor and technical leader on the Data Services team, driving end-to-end delivery of complex data engineering solutions across cloud data platforms. The role translates solution designs and business requirements into scalable, secure, production-ready data products in partnership with design leads, architects, product managers, and business stakeholders.
Skills & qualifications
Skills
Qualifications
Full job description
Your Role 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 endtoend delivery of complex data engineering solutions across cloud data platforms. The DEC partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, and productionready data products. Our 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. Your Knowledge and Experience - Requires a bachelor's degree or equivalent experience. - Requires a minimum of 7 years of data engineering experience. - Advanced handson 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 #LI-FB1 External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.
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