Data Engineer

Client: ABS Role: Data Engineer Location: 1701 City Plaza Dr., Spring, TX 77389 Duration: 6 Month Contract Work Authorization: US Citizen, Green Card, or Authorized to Work in the US Job Summary: We are looking for a highly motivated Data Engineer with a passion for data modeling, data architecture patterns, and modern engineering practices. In this role, you will be instrumental in designing and building scalable, reliable, and high-performance data solutions that power our analytics and business intelligence platforms. You will work closely with senior data engineers and cross-functional teams to implement robust data models and pipelines using cutting-edge tools in the Azure ecosystem. This is a unique opportunity to shape the foundation of our data infrastructure and contribute to the evolution of our data products. Duties/Responsibilities: 1. Design & Implement Data Models: Develop and maintain dimensional data models and semantic layers that support enterprise reporting and analytics. Apply best practices in data warehousing and data architecture. 1. Build Scalable Data Pipelines: Create modular, reusable, and pattern-driven ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks. 1. Transform & Structure Data: Use Spark SQL, DBT, and Azure Synapse to transform raw data into structured, analytics-ready formats. Implement data quality checks and schema evolution strategies. 1. Leverage Azure Technologies: Utilize Azure services such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure. and data pipelines 1. Enable CI/CD & DevOps: Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment. 1. Support Reporting & Visualization: Collaborate with analysts and BI developers to ensure data models are optimized for tools like Power BI. 1. Troubleshoot & Optimize: Monitor and resolve issues in data pipelines and models. Ensure high availability and performance of data systems. 1. Stay Ahead of the Curve: Continuously learn and apply the latest in data engineering best practices, tools, and technologies. Required Skills/Abilities: • 5–7 years of experience in data engineering or related roles. • Proven expertise in data modeling (especially dimensional modeling) and data warehouse design. • Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT. • Strong SQL and Spark SQL skills. • Experience with CI/CD, DevOps, and version control (Git, Azure DevOps). • Familiarity with Power BI or similar visualization tools. • Solid understanding of data integration, data quality, and data transformation best practices. • Strong problem-solving skills and a collaborative mindset. Desired Skills/Abilities: • Experience with Azure Synapse Analytics • Experience with Infrastructure as Code • Experience with Databricks, DLT, Autoloader • Experience with Unity Catalog • Familiarity with Delta Lake core and Parquet files • Experience with DBT (Data Build Tool) • Working understanding of Spark Pool and/or Python • This role requires extensive experience in data modelling, specifically dimensional modelling Education and Experience: At least 5-7 years' related experience required. Our benefits include: • Comprehensive medical benefits • Competitive pay • 401(k) retirement plan • ...and much more! About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.