Sr. Data Engineer

Harvey Nash Inc.
Harvey Nash Inc.

Job Overview

Sr. Data Engineer Seattle, WA Full Time MUST BE MUST BE LOCAL TO SEATTLE Company Overview My client supports thousands of healthcare professionals and tens of thousands of cancer patients every day. Their patient relationship management software improves the care delivery model for millions of patients and thousands of providers as well as dozens of pharmaceutical manufacturers and payers. With patient-centered care, patients receive a holistic service to support their individual goals and preferences, providers become economically viable in payment models, payers and at-risk providers reduce the cost of cancer care, and pharmaceutical manufacturers improve medication adherence for their life-saving treatments. Job Summary The Sr. Data Engineer will develop and implement data models for relational databases, big data, etc. to support companywide analytic and business intelligence. You will be utilizing data from a variety of sources in and outside of the data warehouse, collaborating closely with the Product, Engineering Data Sciences teams, developing insightful conclusions through descriptive analysis, and communicating findings to colleagues and business partners. You will be a key part of the company’s script for collecting, analyzing, creating visualizations and storytelling using clinical data, as well as supporting the development of standard metrics and producing recurring and ad hoc reports. Your work will improve the efficiency of care delivery on existing Oncology Care Models. Required Experience Bachelor’s degree in Information Systems, MIS, Statistics, related field or equivalent work experience 5+ years’ experience in Data warehouseETL development AWS, ETL toolssuch as Informatica, Talend,Matillion etc., emerging open source options, and other platforms using appropriate ELT ETL Message Based design patterns Able to consolidate business data into data warehouses, data marts, data lakes, and other data structures – on-premise and in the cloud Research business domain concepts and common data modeling approaches to problems faced by the organization in the analytics arena and advise on data modeling techniques and transformation methods Ensure completeness, correctness, and consistency of clinical data and data structure Collaborate and advise on emerging solutions on big data platform, storage platforms Design and creation of data structures needed to support dashboarding, reporting, and data science projects, including dimensional data warehouses, column store databases, OLAP cubes, Microsoft tabular models, Hadoop distributed file system, and other logical and physical data organization techniques Extremely strong skills in developing highly scalable solutions usingat-least one programming and scripting language (Java, Python, Scala, Julia, Stata, Ruby, R) Handle high volume heterogeneous data Clinical Data, electronic health records Have demonstrated experience with one or more data analytics and visualization packages Experience in regulated industries with high Data Quality and Governance standards and basic knowledge of medical terminologies, messaging standards, healthcare coding systems such as HL7, FHIR, etc. preferredSr. Data Engineer 1

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