Data Automation Engineer

• Translate business requirements into data engineering and AI solutions for Azure cloud-based data lakes, SQL, and NoSQL platforms.
• Develop and optimize high-performing data pipelines using Microsoft Azure services including Data Factory, Synapse Pipelines, and Apache Spark Notebooks.
• Implement data migration, data integrity, and security functions to ensure data quality and protection.
• Monitor and troubleshoot data pipelines, analyze performance metrics, and tune processes for efficiency and reliability.
• Collaborate with team members and client personnel to develop data solutions addressing operational challenges.
• Support Agile DevOps practices, document testing results, and contribute to continuous learning in relevant technologies.

• Bachelor's degree in Computer Science or related field
• 2+ years of experience in data automation, cloud data platforms, or related roles
• Experience with scripting languages such as SQL, Python, or PySpark
• Experience designing and building ETL/data engineering solutions using Azure services
• Familiarity with Microsoft database and business intelligence tools, including SQL Server, Power BI, and SSIS
• Experience with infrastructure as code (IaC) tools like CloudFormation is a plus
• Demonstrated ability to perform duties through relevant experience, training, or education
• U.S. citizenship and ability to obtain a Public Trust clearance, * Certifications in Azure fundamentals, data engineering, Power BI, AI, or AWS certified data engineer
• Experience with Generative AI development and related solutions
• Knowledge of security standards, data profiling, query optimization, and automation templates

Pay range is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. Talascend also offers a variety of benefits including: health and disability insurance, 401(k), EAP, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, plan requirements, schedule type, and client work site mandates.