Data Engineer

Data Engineers work collaboratively with architects, business intelligence developers, data analysts and data scientists to build and maintain analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Data Engineer mid-level is a data pipeline builder contributing to the development and maintenance of data assets. Additional Job Description: Designs, configures, develops, tests and deploys ELT/ETL processes and self-service reporting assets to provide data exploration capabilities to end users, while adhering to organizational, departmental, team and governmental standards and regulations. Proactively communicates with data consumers to improve performance of processes connecting to data. Designs and builds data models, contributing to an ongoing review of enterprise architectural standards and designs. Participates in data cleansing and profiling efforts and traces data quality issues to their source. Provides operational support for systems and applications troubleshooting and maintenance, and ad-hoc support for incidents related to data warehouses, data sets and data pipelines. Participates in organizational Data Governance for data assets and in enterprise-wide Agile ceremonies. Works with more experienced team members to capture, document and groom features and stories for Agile/scrum teams. Excel at working self-sufficiently in most activities and know when to engage others. Provides coaching to less-experienced Data Engineers. Essential Functions: Designs, configures, develops, tests and deploys ELT/ETL processes across multiple sources, targets and tools, and self-service reporting assets to provide data exploration capabilities to end users. Demonstrates deep understanding of one or more data domains, the processes that generate the associated data, and the potential biases within those data sets. Leads communications with data consumers with a skill growth mindset, to improve performance of processes connecting to data, and shares best practices. Develops relationships and collaboration across multiple teams to deliver timely and reliable information that enables users to uncover insight from information. Provides operational support for systems and applications troubleshooting and maintenance support, and ad-hoc support for incidents related to data warehouses, datasets and data pipelines. Provides on-call support for data platforms, reporting assets, and ETL processes. Develops and implements data model designs, engaging less-experienced team members to grow their skills. Build data models, using a variety of sources and target systems, growing a better understanding on enterprise architectural standards and designs. Applies best practices and organizational standards of the Software Development Lifecycle, to ensure the production of high quality, reliable data assets. Applies the organizational standards and laws governing use of sensitive data relating to Protected Health Information (PHI) and Personally Identifiable Information (PII). Leads data cleansing and profiling to ensure accuracy and quality of information. Participates in organizational Data Governance for data asset management. Develops Continuous Integration and Continuous Development (CI/CD) pipelines under the guidance of more experienced team members. Participates in enterprise-wide Agile ceremonies determining and recommending technical programming approaches and solutions to complex applications. Works independently capture, document and groom features and stories for Agile/scrum teams to maximize visibility and readiness for upcoming planning and execution. Actively pursues opportunities to grow their business acumen and skills from more experienced team members. Provides coaching to less experienced team members. Qualifications: At least five years of relevant experience developing and supporting applications, and or system development lifecycle including coding, testing, and implementation required. Strong Experience in Programming with Oracle SQL and PLSQL. Experience in Data Integration using Informatica Power Center. Experience in Agile/Scrum Methodologies. Well-versed with concepts and techniques of Business Intelligence and Data Warehousing. Strong written and oral communication skills with ability to interpret technical requirements. Excellent analytical skills to troubleshoot and resolve systems problems. Effective and self-sufficient in working within a diverse technology portfolio. Preferred Qualifications: Experience in Healthcare Industry. Experience in Epic Cogito. Experience in Programming with Python. Any one or combination of these in addition to the basic qualifications Experience Programming in a Snowflake Data Warehouse. Development and Configuration Experience in Qlik Replicate or Fivetran. Experience in data warehouse migration from on-prem to AWS Cloud. Knowledge of AWS DevOps process and S3. MSITEK