Azure Data Engineer - Cloud Pipelines & Lakes (Hybrid)

Overview Data Engineer (Contract - Hybrid) – Location: Irving, TX (Hybrid - 3 days onsite). Pay: $45-$50/hour. Duration: Contract. Work Authorization: US Citizen, Green Card Holder, or Authorized to Work in the U.S. Seeking a Data Engineer with strong experience in large-scale data solutions, cloud development, and analytics. The ideal candidate will have hands-on experience designing, developing, and supporting enterprise data pipelines and data lake environments in an agile, DevOps-driven environment. Minimum Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Engineering, or related technical field (or equivalent experience/training) 5-7 years of experience in software solution development in agile/DevOps environments 5-7 years of experience in data analytics using SQL 5-7 years of experience with cloud-based data engineering and data lake environments (preferably Azure) Experience designing, developing, and implementing large-scale applications or data engineering solutions Technical Skills Programming & Scripting: Python, Spark, Unix/Linux, SQL Data Platforms Teradata Cassandra MongoDB Oracle SQL Server Azure Data Lake Storage (ADLS) Snowflake Azure Data Explorer Cloud Technologies (Azure Preferred) Azure Data Factory Azure Databricks Azure Blob Storage Azure Data Lake Azure Functions Azure Event Hub Azure DevOps Power Apps Power BI CI/CD & DevOps Tools GitHub Jenkins Azure DevOps Terraform BI & Analytics Tools Power BI Tableau Cognos Alteryx Denodo Grafana Data Engineering Concepts Data warehousing principles Data ingestion, transformation, and curation Data governance and data privacy concepts Orchestration Tools Azure Data Factory Tivoli Preferred Qualifications 5-7 years of experience building enterprise-scale data engineering solutions using agile/DevOps methodologies Strong experience with Azure-native data services (ADF, Databricks, ADLS, Event Hub, Azure Functions, ADX) Experience in airline or transportation industry environments (preferred but not required) Azure Development certification (preferred) Spark certification (preferred) Key Responsibilities Design, develop, and support scalable data pipelines and cloud-based data solutions Build and maintain data ingestion, processing, and transformation workflows Work within Azure cloud ecosystem to implement data lake and analytics solutions Collaborate with cross-functional teams in agile development environments Ensure data quality, governance, security, and performance optimization Support CI/CD pipelines and DevOps practices for data engineering workflows Benefits Comprehensive medical benefits Competitive pay 401(k) retirement plan ...and much more! Equal Employment Opportunity: 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. 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 is subject to INSPYR Solutions’ Privacy Policy and AI and Automated Employment Decision Tool Policy. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text. #J-18808-Ljbffr