Lead Data Engineer
Job Location:
Austin, TX - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Job title: Lead Data Engineer -
Location: Austin Texas 78751.
Client:Texas Health and Human Services Commission
Interview:In person
Note:The primary work location will be 4601 W Guadalupe St Austin Texas 78751.
Position will be 2 days remote with 3 days (Tues & Wed & Fri) required to be onsite at the location listed above. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius). **Subject to change per the hiring team**
All work products resulting from the project shall be considered works made for hire and are the property of the may include pre-selection requirements that potential Vendors (and their Workers) submit to and satisfy criminal background checks as authorized by the Texas law. HHSC will pay no fees for interviews or discussions which occur during the process of selecting a Worker(s).
HHSC IT is continuing to develop an HHS data integration hub in the Performance Management & Analytics System (PMAS) with a goal to accomplish the following:
Implementation and configuration of the infrastructure for the data integration hub
Design development and implementation (DD&I) of the data integration hub using an agile methodology for all standard SDLC phases that includes but is not limited to:
o Validation of performance metric requirements
o Creation of Epics/User Stories/Tasks
o Automation of data acquisition from a variety of data sources
o Development of complex SQL scripts
o Testing - integration load and stress
o Deployment / publication internally and externally
Operations support and enhancement of the data integration hub
This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS).
As a member of the agile development team the worker responsibilities may include:
Filling the role of a technical leader leading an agile development team through a project.
Data acquisition from a variety of data sources for multiple uses.
Developing complex SQL scripts to transform the source data to fit into a dimensional model then to create views and materialized views in Oracle.
Developing automation with Informatica Power Center/IICS to pull data from external data sources and transform it to fit into a dimensional model.
Collaborating with other members of the Data Engineering Team on the design and implementation of an optimal data design.
Verification and validation of SQL scripts Informatica automation and database views.
Developing automated means of performing verification and validation.
Participating in all sprint ceremonies
Work closely with the Architects and Data Engineering Team on implementation designs and data acquisition strategies.
Develop mockups and work with customers for validation
Working closely with other members of the team to address technical problems
Assisting with the implementation and configuration of developmental tools
Producing and maintaining technical specifications diagrams or other documentation as needed to support the DD&I efforts
Participation in requirements and design sessions
Interpreting new and changing business requirements to determine the impact and proposing enhancements and changes to meet these new requirements
II. CANDIDATE SKILLS AND QUALIFICATIONS
| Minimum Requirements: | ||
| Years | Required/Preferred | Experience |
| 8 | Required | Experience developing mappings and workflows to automate ETL processes using Informatica Power Center or IICS. |
| 8 | Required | Experiencing acquiring and integrating data from multiple data sources/technologies using Informatica Power Center or IICS for use by a Tableau data visualization object. Data source techs should include Oracle SQL Server Excel Access and Adobe PDF. |
| 8 | Required | Experience designing and developing complex Snowflake SQL scripts that are fast and efficient |
| 8 | Required | Strong analytical and problem-solving skills with experience as a system analyst for a data analytics performance management system or data warehousing project. |
| 8 | Required | Technical writing and diagraming skills including proficiency with modeling and mapping tools (e.g. Visio Erwin) and the Microsoft Office Suite (Word Excel and PowerPoint) and MS Project. |
| 8 | Required | Experience in planning and delivering software platforms used across multiple products and organizational units. |
| 8 | Required | Proven ability to write well designed testable efficient code by using best software development practices |
| 6 | Preferred | Excellent oral and written communication skills. |
| 6 | Preferred | Effectively manage multiple responsibilities prioritize conflicting assignments and switch quickly between assignments as required. |
| 4 | Preferred | Experience on an agile sprint team |
| 4 | Preferred | Understanding of security principles and how they apply to healthcare data |
| 4 | Preferred | Experience with state of the art software components for a performance metrics data visualization or business intelligence environment |
| 4 | Preferred | Bachelors degree in Computer Science Information Systems or Business or equivalent experience. |
| 4 | Preferred | Prior experience in the Healthcare Industry |
| 4 | Preferred | Prior experience with an HHS agency |
| 4 | Preferred | Prior experience working with PII or PHI data |
| 4 | Preferred | Experience designing and developing scripts using Python |
| 4 | Preferred | Experience with JIRA software |
| 2 | Preferred | Functional knowledge or hands on design experience with Web Services (REST SOAP etc.) |
| 2 | Preferred | Experience designing and developing code using Java and JavaScript |
| 2 | Preferred | Experience developing CI/CD pipelines with GitHub and Git Actions |
| 2 | Preferred | Experience as a Mulesoft developer |
| 2 | Preferred | Experience developing using AI tools such as Snowflake Cortex and Intelligence and/or Informatica Claire |
