At Clear Capital, we are revolutionizing the real estate data industry, and we need talented leaders like you to help us make a lasting impact. We are searching for a Manager, Data Engineering to lead, mentor, and grow a high-performing team of data engineers, while driving the development of innovative data solutions that will transform property data and make real estate valuations more transparent and equitable. In this role, you will contribute to the code base on active projects, while also engaging directly with the team as a contributing manager. You will work closely with cross-functional teams including Software Engineers, Machine Learning Engineers, and Business Intelligence teams, ensuring that data engineering efforts align with Clear Capital’s goals and vision. Your leadership will be key in scaling our data infrastructure and evolving our data platform.<h3>What You Will Work On</h3><ul><li>Lead and manage a team of data engineers responsible for building, maintaining, and optimizing data pipelines and data systems.</li><li>Drive the development and execution of the data engineering roadmap, ensuring that the data platform is scalable, secure, and reliable.</li><li>Collaborate with Product, Engineering, and Machine Learning teams to deliver high-quality data solutions that meet the evolving needs of the business.</li><li>Develop best practices for data governance, security, and infrastructure as code, ensuring robust and sustainable systems.</li><li>Oversee the design, development, and deployment of advanced ETL pipelines and data models that drive business insights and machine learning models.</li><li>Lead the migration of legacy data systems to modern cloud-based infrastructure, leveraging AWS services to optimize performance and scalability.</li><li>Foster a culture of continuous improvement, where team members are encouraged to learn, grow, and innovate.</li></ul><h3>Who We Are Looking For</h3><ul><li>6+ years of data engineering experience, with at least 2+ years in a management or leadership role.</li><li>Proven experience designing and optimizing large-scale data systems and pipelines in the cloud, especially with AWS.</li><li>Expertise in building and managing lake house architecture, data lakes, data warehouses, and ETL pipelines using tools like AWS Lambda, Glue, EMR, Postgres, and Redshift.</li><li>Strong experience with Python, SQL, and modern data engineering tools such as Airflow, DBT, and Spark.</li><li>Hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.</li><li>A strong understanding of data governance, security, and best practices for building scalable cloud-based infrastructure.</li><li>Excellent leadership and team-building skills, with the ability to mentor and guide technical teams.</li><li>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.</li></ul><h3>What You Can Expect</h3><ul><li>Competitive compensation with the opportunity to lead impactful projects.</li><li>A comprehensive benefits package including 401k plans, medical, dental, vision, and more for you and your dependents.</li><li>A collaborative, innovative work environment that prioritizes quality of work and personal growth.</li><li>Employee-driven initiatives promoting diversity, philanthropy, and work-life balance.</li><li>Opportunities for continuous learning and professional development through training and mentorship programs.</li></ul><h3>What We Value</h3><ul><li>Wherever it leads, Whatever it takes! We are driven to find innovative solutions, no matter the challenge.</li><li>Thrive personally, grow professionally. Happiness and personal development are key to our success.</li><li>Innovate, learn, lead. Growth and learning are core to our culture.</li><li>We believe in hiring kind, talented people who help foster a supportive and collaborative environment.</li><li>Our mission is to be the most trusted and respected real estate valuation company in the world.</li></ul>
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Position Purpose Renown Health is looking for a Senior Data Engineer familiar with the Microsoft Azure Cloud-based platform, both traditional as well as Fabric. This position will develop, design, implement, and maintain a Microsoft Azure Data Warehousing environment and help architect the Enterprise Data Warehouse for all corporate entities of Renown Health. The role will include setting up and automating data pipelines via ETL / ELT processes with internal departments and external third parties, verifying data accuracy, and optimizing the data environments to enable the work of data scientists and analysts. The engineer will be expected to know SQL and be comfortable discussing complex computer science or statistical concepts with data scientists and analysts. Innovation is critical to this role as an ideal candidate will possess the ability to lead the development of a cloud-based enterprise data warehouse, along with engineering solutions to support the development of new reporting systems, analytic engines, and machine learning algorithms. Nature and Scope This role can be either remote or hybrid. Primary Responsibilities: •In collaboration with Team members, build full technology stack of services for commercialization purposes including PaaS (Platform as-a-service), IaaS (Infrastructure as-a-service), SaaS (software as-a-service), operations and management. •Manage and optimize the movement and validation of data from an Epic EMR system to Renown Health's Enterprise Data Warehouse (EDW). •Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance. •Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources (e.g., electronic health record, claims, wearable device, publicly available data, etc.) to enable learning health, machine learning model development, and deployment. •Design, direct and implement ETL processes, including data capture, data quality, testing and validation methods. •Knowledge of interface engines and protocols. Experience with HL7, X12 and/or XML and OPENLink. •Provide guidance on synchronizing the Epic EMR data architecture with customized data models that facilitate reporting and analytics. •Layer in instrumentation in the development process so that data pipelines can be monitored. Measurements are used to detect internal problems before they result into user visible outages or data quality issues. •Build processes and diagnostic tools to troubleshoot, maintain and optimize engineering environments and respond to production issues. •Provide subject matter expertise and hands on delivery of data capture, curation, and consumption pipelines for Microsoft Azure. •Ability to build Azure data solutions and provide technical perspective on storage, big data platform services, serverless architectures, Hadoop ecosystem, vendor products, RDBMS, DW/DM, NoSQL databases and security. •Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform. •Develop documentation, such as data dictionaries, guides, or data flow diagrams that assists staff in identifying, locating, and using the organization's data. Incumbent Must Possess: •Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.). •Experience with Visual Studio is preferred. •At least 3 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions. •Minimum of 3 years of RDBMS experience. •Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc. Some experience with AWS and related Amazon cloud technologies is desirable. •Familiarity of the environments needed to facilitate the work of data scientists and analysts in healthcare. •Knowledge of medical terminology, especially ICD-10 codes, CPT codes, DRG codes, and an understanding of adjudicated claims data. •Excellent verbal and written communication. An applicant may be asked to provide examples of written work to demonstrate technical writing proficiency. Minimum Qualifications Requirements - Required and/or Preferred Name Description Education: Must have working-level knowledge of the English language, including reading, writing, and speaking English. Master's degree with 10 years' experience preferred; bachelor's degree with 13 years of equivalent experience will be considered in place of master's degree requirement. Experience: Requires a minimum of 10 years' experience with at least five (5) years working in data management, data engineering, or data architecture. Enterprise Data Warehouse development preferred; Requires at least five (5) years working with healthcare data; more is preferred. SQL proficiency is required. License(s): None Certification(s): Ability to obtain Epic System's Caboodle and Clarity Development Certificates and relevant data model badges required within 12 months of hire. Must stay current on new version certification as applicable. Computer / Typing: Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.

Data Engineer Jobs in Reno, NV

Manager Data Engineer
December 7, 2024

Senior Data Engineer Remote
November 23, 2024

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Data Engineer Jobs in Reno, NV

Manager Data EngineerDecember 7, 2024

Senior Data Engineer RemoteNovember 23, 2024

Quick filters

Top companies

Manager Data Engineer
December 7, 2024

Senior Data Engineer Remote
November 23, 2024