Data Engineer

Description

We are looking for a Data Engineer to join a growing Data & Reporting team in Austin, Texas. This contract opportunity with potential for a permanent role is ideal for a detail-oriented candidate who can turn complex business data into reliable reporting solutions that support informed decision-making across the organization. In this role, you will help build and maintain the data foundation behind dashboards, reports, and analytics tools while partnering with stakeholders to translate business needs into scalable technical solutions.

Responsibilities:
Build and enhance data architectures that collect, structure, and deliver information for reporting and analytics use across the organization.
Design, develop, and support end-to-end ETL processes, moving data from source systems into data warehouses, operational stores, and business intelligence platforms.
Partner with business subject matter experts to identify data sources, define reporting needs, and shape data models that align with operational goals.
Create and maintain database solutions that support efficient storage, retrieval, performance tuning, and ongoing system reliability.
Administer server databases by handling upgrades, patching, troubleshooting, and optimization activities to ensure stable production environments.
Develop logical and conceptual data models and expand enterprise data structures to accommodate new business requirements and incoming data sources.
Translate business questions into technical specifications and build reporting-ready datasets, metadata, and presentation-layer objects for dashboards and self-service analytics.
Support data migration efforts from legacy platforms to modern solutions, including development, testing, deployment preparation, and code promotion activities.
Work closely with stakeholders to determine which metrics and data elements provide the most value for visual reporting and decision support.
Contribute to additional data engineering and reporting initiatives as business priorities evolve.

Requirements

Bachelor's degree in Computer Science, Management Information Systems, Mathematics, Information Management, or a related field.

At least 5 years of experience working with enterprise data sources, reporting environments, and data engineering solutions.

Hands-on experience with ETL development and data pipeline design.

Advanced SQL skills with the ability to build, troubleshoot, and optimize complex queries and database objects.

Experience using Azure Data Factory to orchestrate and manage data integration workflows.

Proficiency with Power BI for delivering dashboards, reports, and business-facing data visualizations.

Demonstrated ability to gather requirements and convert business needs into scalable technical solutions.

Experience in insurance, government, or financial services environments is preferred.

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