Data Engineer
Hoar•Austin, TX
•Onsite
About The Position
The Data Engineer role is responsible for developing and scaling end-to-end data and analytics solutions that enable self-service and analytics efforts. This role will work with key business partners across the organization to understand business problems and translate them into automated processes and functional data resources.
Requirements
- 5+ years in Data Engineer or similar role
- A Bachelor’s Degree in CS, Information Systems, a related field or equivalent work experience
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Experience with Power BI, Power Automate and Power Platform tools.
Responsibilities
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL.
- Create Power Platform objects for data insert and data consumption.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across boundaries through multiple databases, servers, data centers, and Azure regions.
- Create data tools for analytics and support the data architect.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
