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Sr Data Engineer

Company: Ascension Health
Location: Austin
Posted on: May 3, 2021

Job Description:

We Are Hiring Ascension is a faith-based healthcare organization dedicated to transformation through innovation across the continuum of care. As one of the leading non-profit and Catholic health systems in the U.S., Ascension is committed to delivering compassionate, personalized care to all, with special attention to persons living in poverty and those most vulnerable. In FY2019, Ascension provided $2 billion in care of persons living in poverty and other community benefit programs. Ascension includes more than 150,000 associates and 40,000 aligned providers. The national health system operates more than 2,600 sites of care including 150 hospitals and more than 50 senior living facilities in 20 states and the District of Columbia, while providing a variety of services including clinical and network services, venture capital investing, investment management, biomedical engineering, facilities management, risk management, and contracting through Ascensions own group purchasing organization. Ascension Information Services is one of the nations largest healthcare information technology services organizations. We provide Ascension and its subsidiaries low-cost, high-value IT infrastructure and software application services that: Support rapid and effective clinical decision making Improve efficiency and care transitions Foster information sharing across the continuum of care Make knowledge and data actionable, leading to improved patient outcomes What You Will Do Responsible for construction and development of "large-scale cloud data processing systems" The Data Engineer must have considerable expertise in data warehousing and job requires proven coding expertise with Python, Java, SQL, and Spark languages. Must be able to implement enterprise cloud data architecture designs, and will work closely with the rest of the scrum team and internal business partners to identify, evaluate, design, and implement large scale data solutions, structured and unstructured, public and proprietary data. The Data Engineer will work iteratively on the cloud platform to design, develop and implement scalable, high performance solutions that offer measurable business value to customers. Required Work Experience: + Four to seven years of experience required. + Some of the minimum experience requirement may be met with Masters or other advanced degreeCloud Experience Required + Coding experience with Python, Java, Spark, and SQL + Strong Linux/Unix background and hands on knowledge. + Past experience with big data technologies including HDFS, Spark, Impala, Hive, + Experience with Shell scripting and bash. + Experience with version control platform github + Experience unit testing code. + Experience with development ecosystem including Jenkins, Artifactory, CI/CD, and Terraform. + Works on problems of diverse scope and complexity ranging from moderate to substantial + Assists senior professionals in determining methods and procedures for new tasks + Leads basic or moderately complex projects/activities on semi-regular basis + Must possess excellent written and verbal communication skills + Ability to understand and analyze complex data sets + Exercises independent judgment on basic or moderately complex issues regarding job and related tasks + Makes recommendations to management on new processes, tools and techniques, or development of new products and services + Makes decisions regarding daily priorities for a work group; provides guidance to and/or assists staff on non-routine or escalated issues + Decisions have a moderate impact on operations within a department + Works under minimal supervision, uses independent judgment requiring analysis of variable factors + Requires little instruction on day-to-day work and general direction on more complex tasks and projects + Collaborates with senior professionals in the development of methods, techniques and analytical approach + Ability to advise management on approaches to optimize for data platform success. + Able to effectively communicate highly technical information to numerous audiences, including management, the user community, and less-experienced staff. + Consistently communicate on status of project deliverables + Consistently provide work effort estimates to management to assist in setting priorities + Deliver timely work in accordance with estimates + Solve problems as they arise and communicate potential roadblocks to manage expectations + Adhere strictly to all security policies Desired Work Experience: + Proficient in multiple programming languages, frameworks, domains, and tools. + Coding skills in Scala + Experience with gcp platform development tools Pub/sub, cloud storage, big table, big query, data flow, data proc, and composer desired. + Strong Linux/Unix background and hands on knowledge. + Knowledge in Hadoop and cloud platforms and surrounding ecosystems. + Experience with web services and APIs as in RESTful and SOAP. + Ability to document designs and concepts + API Orchestration and Choreography for consumer apps + Well rounded technical expertise in Apache packages and Hybrid cloud architectures + Pipeline creation and automation for Data Acquisition + Metadata extraction pipeline design and creation between raw and finally transformed datasets + Quality control metrics data collection on data acquisition pipelines + Able to collaborate with scrum team including scrum master, product owner, data analysts, Quality Assurance, business owners, and data architecture to produce the best possible end products + Experience contributing to and leveraging jira and confluence. + Strong experience working with real time streaming applications and batch style large scale distributed computing applications using tools like Spark, Kafka, Flume, pubsub, and airflow. + Ability to work with different file formats like Avro, Parquet, and JSON. + Managing and scheduling batch jobs. + Hands on experience in Analysis, Design, Coding and Testing phases of Software Development Life Cycle (SDLC). Qualifications and Education: Master level technology degree preferred Technology certifications preferred Bachelor's in computer engineering or equivalent field or equivalent foreign degree required What You Will NeedEducation:+ High school diploma/GED with 2 years of experience, or Associate's degree, or Bachelor's degree required.Work Experience: 1 year of experience required. 4 years of experience preferred. 2 years of leadership or management experience preferred.Additional PreferencesNo additional preferences.Why Join Our TeamEqual Employment Opportunity Employer Ascension Technologies is an equal opportunity employer (EEO) and affords equal opportunity to all associates and applicants without regard to race, color, religion, national origin, gender identity, sexual orientation, age, physical or mental disability, veteran status, genetic data, or other legally protected status. For further information regarding your EEO rights, click on the following link to the EEO is the Law poster: is the Law Poster Supplement ( Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.

Keywords: Ascension Health, Austin , Sr Data Engineer, Other , Austin, Texas

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