Job Location: Texas, United States
The Data Engineer role is a member of our team of analytics experts serving the health of our community. This role is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection to support business needs. To support these needs, the Data Engineer is an experienced data pipeline builder and data wrangler with an aptitude for identifying nuances and patterns within complex datasets with the goal of transforming raw data into timely, reliable data sets.
The Data Engineer will support our business intelligence developers, architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
This role works within a cross-functional team, collaborating with others and working independently to deliver value.
The core responsibilities are to support the data needs of multiple teams, systems, and products using a combination of traditional on-premises platforms and next-generation cloud-based platforms.
Additional Job Description Education: Bachelor’s Degree or equivalent in Computer Science, application programming, software development, information systems, database administration, mathematics, engineering, or other related field.
Experience: 5+ years experience.
Demonstrates an understanding of business operations in one or more area and applies data engineering practices to anticipate and deliver information connected to those purposes. Provides support and recommendations to intermediary level engineers to enhance their technical skills. Performs rapid data profiling of internal and external data sources to determine quality and value to business questions. Counsels business analysts and data scientists on available data sources and potential biases within datasets.
Participates in enterprise-wide agile ceremonies determining and recommending technical programming approaches and solutions to complex applications. Provides ad-hoc support for incidents related to data warehouses, datasets, and data pipelines. Provides operational support for systems and applications troubleshooting and maintenance support. Upgrades supported applications to current state versions in accordance with vendor specifications.
Constantly evaluates internal departmental workflows and standard procedures to ensure efficiencies and requirements are being met. Designs and documents conceptual, logical, and physical data models (including entity relationship (ER) diagrams. Evaluates requests for systems development and enhancement. Understand and anticipate information needed by the business in order to build intelligent, supportable data pipelines.
Develop, test, and deploy ELT / ETL processes across multiple sources, targets and tools. Develop, test, and deploy self-service reporting assets to provide data exploration capabilities to end users. Collaborate across multiple teams to deliver timely and reliable information that enables users to uncover insight from information. Utilizes best practices and organizational standards around the Software Development Lifecycle to ensure the production of high quality, reliable data assets
Follow enterprise architectural standards and designs for building data models using a variety of sources and target systems. Follow enterprise architectural standards and designs for building data models using a variety of sources and target systems. Captures, documents, and grooms features and stories for agile/scrum teams to maximize visibility and readiness for upcoming planning and execution.
Captures, documents, and grooms features and stories for agile/scrum teams to maximize visibility and readiness for upcoming planning and execution. Anticipates and documents upcoming data needs of users through identification of commonly used data in source systems through metadata analysis. Communicates with data consumers with skill growth mindset to improve performance of processes connecting to data and shares best practices.
Develops, monitors, and maintains processes to track overall health of platforms and systems and identifies opportunities to tune processes connecting to data. Develops and maintains Continuous Integration and Continuous Development (CI/CD) processes focused on acceleration of value delivery and minimization of manual touchpoints.
Performs data cleansing and profiling to ensure accuracy and quality of information. Provides on-call support for data platforms, reporting assets, and ETL processes.
Required Skills: – Experience performing data cleansing and profiling to ensure accuracy and quality of information. – Able to provide on-call support for data platforms, reporting assets, and ETL processes.Basic Qualification: Additional Skills: Background Check: YesDrug Screen: YesNotes:Selling points for candidate:Project Verification Info:Candidate must be your W2 Employee: NoExclusive to Apex: NoFace to face interview required: NoCandidate must be local: NoCandidate must be authorized to work without sponsorship: NoInterview times set:: NoType of project:Master Job Title: Misc: Non-TechnicalBranch Code: Minneapolis
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