Senior Data Engineer (Remote)


Job Overview

Are you looking for a high energy, strategic, and fast-paced position as a Senior Data Engineer (Remote)? Join Relias, the company changing lives throughout the world by helping healthcare organizations improve their clinical outcomes! Relias provides software and services to more than 10,000 healthcare organizations and providers, addressing the primary concerns of recruiting, retention, risk mitigation, compliance, and the move from fee for service to value-based reimbursements. In addition to unrivaled content, Relias offers pre-hire assessments and in-depth analytics that allows for the demonstration of skill and performance, resulting in better patient, resident and client outcomes, as well as better financial results. We are passionate about our product and our clients what we deliver is truly something you can be proud to represent. Our clients think so, too ndash we proudly boast a retention rate close to 100! WHAT CAN RELIAS OFFER YOU? Competitive base salary Fantastic health and wellness benefits package, including an outstanding 401k match, an unlimited PTO program, and paid holidays, including your birthday! Comprehensive two-week onboarding program ndash a great introduction to our company, customers and culture! Growth and career advancement opportunities! Integrated 15 acquisitions over the last five years 20+ annual employee promotion and transfer rate The Senior Data Engineer is a remote role that will play an instrumental role in designing, developing and maintaining an Azure cloud-based data storage and pipeline solution for enterprise analytics. Primary responsibilities include building the ingestion, transformation and cleansing process for new data sources brought into the data lake, monitoring and troubleshooting ETL ELT jobs and designing a scalable architecture for future enterprise analytic platform growth. WHAT YOUrsquoLL BE DOING On-boarding new sources of data brought into data lake Working with internal systems owners, business users and engineering groups to understand and plan data integration needs for downstream business intelligence applications. Implementing new pipeline integrations to ingest data into an Azure data lake platform standardize and transform data into business facing curated datasets. Performing unit and integrations testing for new and existing data pipelines using REST APIs and a metadata-driven RESTful integration patterns. Developing and documenting data pipelines using SOA standard practices. Monitoring and maintaining data pipeline job status Working with source system and business owners to accommodate data source changes in the integration pipeline, adding new objects and updating scripts in Azure notebooks Performing automated quality checks and support continuous improvement of data consumed within downstream Business Intelligence and Machine Learning solutions Following code version control and deployment standards and support continuous process improvement. Designing an architecture for future platform growth, including, but not limited to Data warehouse, graph database and OLAP structures YOUrsquoVE GOT WHAT IT TAKES IF YOU HAVE bull At least 3 years on the job or B.S. Computer Science bull At least 6 years of relevant work experience in Data Engineering bull Strong communication and collaboration skills bull Technical proficiency with data integration and data lake design patterns bull Advanced knowledge of Azure cloud Infrastructure bull Experience with agile development methodologies bull Advanced understanding of SQL bull Intermediate skills with Pyspark and Spark SQL in a cloud environment IT WOULD BE NICE IF YOU HAVE bull B.S. in Computer ScienceSenior Data Engineer (Remote) 1

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