JOBSEARCHER

Sr. Data Engineer

HirenzaDenver, COL6 LeadAugust 14th, 2026
About The CompanyINSPYR Solutions is a leading provider of innovative technology and talent solutions, dedicated to delivering excellence in the IT industry. With a focus on quality and customer satisfaction, INSPYR Solutions strategically aligns industry expertise with clients' business objectives to create tailored solutions. Our comprehensive services encompass professional consulting, project delivery, and talent acquisition, ensuring that organizations meet their technological and operational goals. We pride ourselves on fostering a collaborative environment that values human capital, diversity, and continuous improvement. As a national organization, we serve clients across various industries, including finance, healthcare, and government, helping them leverage cutting-edge technology to stay competitive and agile in a rapidly evolving landscape.About The RoleWe are seeking a highly skilled and motivated Senior Data Engineer to join our team in a hybrid capacity in Scottsdale, AZ. This full-time, direct-hire position offers an exciting opportunity to lead the design, development, and optimization of enterprise-grade data pipelines and analytics platforms within a cloud-forward environment. The ideal candidate will play a pivotal role in enabling data-driven decision-making across the organization by building scalable, secure, and high-performance data solutions primarily utilizing the Azure ecosystem. You will collaborate closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to deliver impactful insights and drive innovation. This role demands a strategic thinker with extensive experience in cloud-based data engineering, a passion for transforming raw data into actionable intelligence, and the ability to thrive in a fast-paced, agile environment.QualificationsBachelor's degree in Computer Science, Information Systems, or a related field; or equivalent practical experience.Minimum of 10 years of professional experience in data engineering, data warehousing, and analytics.At least 7 years of expertise in implementing data pipelines using Python, Spark, and Scala for both batch and streaming ETL workloads.Over 5 years of strong experience with SQL Server, SSIS, and Azure-based data engineering solutions.Hands-on experience with RESTful APIs and JSON for data integration and service communication.At least 3 years of experience with Power BI, Azure Data Lake, Azure SQL, and Databricks.Proficiency with build and deployment tools such as Azure DevOps, GitHub, and Jenkins within Agile and DevOps environments.Excellent communication skills, with the ability to collaborate effectively across technical and non-technical teams.Preferred qualifications include industry certifications in Azure, GCP, or AWS, experience with containerization technologies like Docker and Kubernetes, and familiarity with programming languages such as Java, JavaScript, or C/C++. Prior experience in banking or financial services domains and knowledge of Collibra for data lineage and quality management are advantageous.ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL processes for batch and streaming workloads utilizing Azure Data Factory, Databricks, and other tools.Implement and optimize data ingestion, transformation, and storage solutions using Azure Data Lake, Azure SQL, and Delta Lake with Medallion Architecture and Unity Catalog.Create and maintain robust data models, schemas, and dictionaries to facilitate efficient data retrieval and reporting.Perform data profiling, cleansing, validation, and quality checks to ensure data accuracy and reliability.Troubleshoot and resolve data-related issues across pipelines, ensuring minimal downtime and data integrity.Collaborate with data governance teams to implement data lineage and quality frameworks, leveraging tools like Collibra.Build and maintain Power BI dashboards, reports, and visualizations to communicate insights effectively to stakeholders.Develop and implement data transformations and modeling within Power BI to support business intelligence initiatives.Maintain comprehensive technical documentation for data solutions, pipelines, and reporting frameworks.Utilize Azure DevOps, GitHub, and Jenkins for CI/CD automation, ensuring smooth deployment and integration processes.Participate in Agile development cycles, contributing to sprint planning, stand-ups, and retrospectives using Jira and Confluence.Stay updated on industry trends and proactively recommend enhancements to data infrastructure and analytics capabilities.Work closely with stakeholders to understand business requirements and translate them into scalable technical solutions.BenefitsINSPYR Solutions offers a comprehensive benefits package designed to support our employees’ well-being and professional growth. Employees enjoy competitive salaries aligned with industry standards, along with health insurance plans including medical, dental, and vision coverage. We provide paid time off, holidays, and flexible work arrangements to promote work-life balance. Our professional development programs include access to training, certifications, and industry conferences to foster continuous learning. Additionally, employees benefit from a collaborative and inclusive work environment that encourages innovation and recognizes individual contributions. We also offer retirement plans and other perks to ensure our team members are well-supported throughout their careers.Equal OpportunityINSPYR Solutions is an equal employment opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees and applicants are treated with respect and fairness, regardless of race, color, religion, sex, national origin, age, disability, or genetics. We comply with all applicable federal, state, and local laws governing nondiscrimination in employment. We value the unique perspectives and experiences of our team members and believe that diversity drives innovation and success. All employment decisions are made based on merit, qualifications, and business needs. We