The University of Connecticut (UConn), Analytics and Information Management Solutions (AIMS) group (http://aims.uconn.edu) is seeking to hire Data Engineers (Operating Systems Programmer 3), UCP 9 with a creative mindset to design and develop innovative healthcare solutions to drive disruptive change within the healthcare ecosystem.
We are looking for passionate data innovators to be a thought leader and sounding board to analyze business drivers/impacts to engineer and implement innovative data management solution components to enable the State of Connecticut’s Health Information Exchange (HIE) and Core Data Analytics Solution (CDAS). The right person is one who can continuously push the envelope and design, develop, and implement innovative cloud-based, data management solutions for healthcare analytics being built using industry leading technologies.
Our Technologies and Your Opportunities:
Azure | Azure Data Lake | Azure AD | Azure SQL | MongoDB | Tableau Server, Creator/Desktop | Linux | Windows | Informatica MDM, BDM, BDQ, EDC, Axon, P/DDM | Hortonworks Data Platform, Data Flow | C# | Java
This position will work as a member of diverse business, technology, and analytics team to implement data, analytics, and information management solution components for the State of Connecticut’s healthcare solution.
DUTIES AND RESPONSIBILITIES
Job duties and responsibilities include but are not limited to:
Design and develop big data concepts, Hadoop ecosystem components, and complementary technologies such as HDFS, Hive, Spark, HBase, Oozie, and Kafka; as well as cloud technologies such as block storage, object storage, computational infrastructure services, and higher-level database services.
Design and develop data flow and transformation processes pipelines for ingestion and analysis using industry leading tools, such as Informatica (BDM, BDQ, MDM, EDC, PDM, DDM, and Axon), Spark, Kafka, Flume, Sqoop, and NiFi.
Design data capture, security, processing, organizing, and provisioning structures to ingest various healthcare data sets to enable data enhancement, enrichment, and exploration/mining.
Resolve complex systems integration issues including activities associated with various solution components and cloud technology.
Conduct exploration on emerging technologies, and determine technologies that will increase operational efficiency, infrastructure flexibility, and operational stability.
Self-motivated/guided and able to work in a startup environment.
Bachelor’s degree (or equivalent combination of education and experience) in Software Engineering, Computer Science, Information Systems, or a related Science, Technology, Engineering and Mathematics (STEM) discipline.
Minimum of three (3) years of experience in data management, such asacquiring, validating, storing, protecting, and processing required data (such as structured, semi-structured, and/or un-structured) with progressive responsibilities in data architecture.
Experience gathering and documenting data model requirements and the associated metadata from business, technical, and analytics functional teams.
Demonstrated experience with designing data flows and processes, such as creating data flow diagrams (DFDs), technology-agnostic data models, and/or documentation for complex data systems and encompassing processes.
Demonstrated experience with various forms of data modeling (such as conceptual, logical, and physical) and data architecture and modeling practices/concepts (such as entity-relationship diagrams, normalization, abstraction, de-normalization, dimensional modeling, and metadata modeling practices).
Demonstrated experience architecting, designing, and developing Big Data and data movement solutions using various toolsets, such as Informatica Big Data Management (BDM), Informatica Big Data Quality (BDQ), Informatica Persistent Data Masking (PDM), Spark, Storm, NIFI, Pig, Yarn, Kafka, Hadoop streaming, Oozie, Sqoop, and SSIS.
Strong verbal and written communications skills and ability to communicate effectively across diverse teams, collaborating with team members.
Master’s degree in Software Engineering, Computer Science, Information Systems, or a related Science, Technology, Engineering and Mathematics (STEM) discipline.
Demonstrated experience architecting, designing, and developing Big Data storage solutions using tools, such as SQL Server, HDFS, Azure Data Lake, HBase, and/or Hive.
Demonstrated experience in the development of data models using the ERwin tool.
Experience architecting, designing, and developing Big Data governance solutions using tools, such as Ranger, Atlas, Informatica Axon, Informatica Enterprise Data Catalog, Informatica Master Data Management, and/or Informatica Dynamic Data Masking.
Experience with Azure IaaS, PaaS, and SaaS (or another Cloud-based infrastructure), including readiness, provisioning, security, and/or governance.
Experience with Informatica Big Data Management (BDM) tools
Experience with various healthcare formats and reference data sets, such as, HL7, claims, eCQMs, drug/pharmacy, clinical notes, and/or lab results.
Demonstrated experience implementing security components, such as data encryption, masking, and/or data use entitlements.
This is a full-time, grant-funded position that is subject to annual renewal depending on available funding and job performance. The typical work schedule is Monday – Friday, 8:30 am – 4:30 pm. Salary will be commensurate on the successful candidate’s experience and training. Work location is at the Hartford campus.
UConn AIMS, working with the State of CT’s Office of Health Strategy (OHS), is leading the design, development, and implementation of the Core Data Analytics Solution (CDAS). This is an exciting opportunity to develop innovative solutions utilizing leading-edge technologies as we explore new ways to revolutionize the healthcare experience in the state of Connecticut. We are seeking talented, highly motivated individuals who are eager to learn new technologies, challenge the status quo and make a positive impact for all consumers of healthcare services.
Please apply online at UConn Jobs, https://jobs.uconn.edu, Staff Positions, Search #2019534, Data Engineer, UCP 9. Please submit an online application that includes a cover letter, a resume and contact information for three (3) professional references. Evaluation of applications will begin immediately.
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. (Search #2019534)
This job posting is scheduled to be removed at 11:59 p.m. Eastern time on December 31, 2019.
The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.
See Job Description
Internal Number: 2019534-2276_1570701910
About University of Connecticut
The University of Connecticut is a national leader among public research universities, with more than 30,000 students seeking answers to critical questions in classrooms, labs, and the community. A culture of innovation drives this pursuit of knowledge throughout the University’s network of campuses. Connecticut’s commitment to higher education helps UConn attract students who thrive in the most competitive environments, as well as globally renowned faculty members. Our school pride is fueled by a history of success that has made us a standout in Division I athletics. UConn fosters a diverse and vibrant culture that meets the needs and seizes the opportunities of a dynamic global society.