Azure Data Engineer

Title: Azure Data Engineer Location: Washington, DC (Hybrid – 4 days onsite in a week) Duration: 6+ months Position Overview: We are seeking a skilled Azure Data Engineer to design, develop, and maintain scalable data solutions on the Microsoft Azure platform. The candidate will work closely with data architects, analysts, and business stakeholders to build robust data pipelines and ensure efficient data processing, integration, and availability for analytics and reporting. Key Responsibilities: • Design, build, and maintain data pipelines and ETL/ELT processes using Azure data services. • Develop and optimize data integration solutions using Azure-based tools. • Build and manage data lakes and data warehouses to support analytics and reporting needs. • Implement data ingestion frameworks for structured and unstructured data sources. • Work with large datasets to ensure data quality, performance, and reliability. • Collaborate with data architects and BI teams to support data modeling and analytics solutions. • Implement data governance, security, and compliance standards for enterprise data platforms. • Monitor and troubleshoot data pipeline performance issues and optimize workloads. • Support data migration and modernization initiatives to Azure cloud platforms. • Document technical designs, workflows, and operational processes. Required Skills & Experience: • Strong experience with Azure Data Services such as: • Azure Data Factory (ADF) • Azure Synapse Analytics • Azure Data Lake Storage (ADLS) • Azure Databricks • Experience building ETL/ELT pipelines and data integration workflows. • Strong proficiency in SQL and Python or PySpark. • Experience with data modeling, data warehousing, and big data processing. • Familiarity with REST APIs and data ingestion frameworks. • Experience working with structured, semi-structured, and unstructured datasets. • Understanding of data security, governance, and compliance practices. • Knowledge of CI/CD pipelines and DevOps practices in cloud environments. Preferred Qualifications: • Experience with Power BI or other BI tools for data visualization. • Knowledge of Azure DevOps, Git, and automated deployment pipelines. • Experience working in large enterprise or international organizations. • Azure certifications such as Microsoft Certified: Azure Data Engineer Associate. Education: • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field. “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”