Data Engineer II

Sorenson Communications is hiring a Data Engineer II to support the development and maintenance of its enterprise data platform. The role builds and supports data pipelines, integrates data from multiple sources, and helps ensure data is reliable, secure, and available for analytics and operational needs.

Responsibilities:

• Develop, maintain, and support data pipelines that transform data from source systems into usable datasets for reporting, analytics, and business operations
• Build and enhance data infrastructure using modern cloud-based technologies and industry best practices
• Assist with integrating data from multiple business systems into centralized data platforms and data warehouses
• Monitor data pipelines and troubleshoot issues to ensure data quality, reliability, and performance
• Support automation efforts that improve data collection, transformation, validation, and delivery processes
• Work with business stakeholders, IT teams, and analysts to understand data requirements and implement solutions that meet business needs
• Participate in data quality initiatives, including validation checks, monitoring, and issue resolution
• Ensure compliance with data security, privacy, retention, and governance standards
• Support the Data Science and Analytics teams by providing clean, reliable, and accessible datasets
• Create and maintain technical documentation for data processes, data models, and system integrations
• Contribute to continuous improvement efforts for the enterprise data platform
• Other duties as assigned by management

Requirements:

• Applicants must be legally eligible to work in the United States to be considered
• Minimum 4 Year / Bachelors Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent industry experience
• 3 years Experience as a Data Engineer, Data Analyst, ETL Developer, Database Developer, or similar role
• Experience working with cloud-based data platforms such as Snowflake, Azure Synapse, Databricks, or equivalent technologies
• Experience developing and supporting data pipelines using tools such as Azure Data Factory, Fivetran, Matillion, dbt, Airflow, or similar platforms
• Strong SQL skills and experience writing efficient queries
• Experience with at least one programming language such as Python, SQL, C#, Java, or PowerShell
• Understanding of ETL/ELT processes and data integration methodologies
• Experience working with cloud data warehouses and modern data platforms
• Comfortable with dimensional modeling and analytical data structures
• Understanding of relational databases and data warehouse concepts
• Experience supporting business intelligence and reporting tools such as Power BI, Tableau, Looker, or Excel
• Comfortable with data orchestration and workflow management tools such as Airflow
• Solid understanding of data governance, data quality, security, and compliance concepts
• Experience troubleshooting data issues and performing root cause analysis
• Ability to work collaboratively with cross-functional teams
• Strong analytical, problem-solving, and organizational skills
• Strong written and verbal communication skills, including ASL communications where applicable
• Demonstrates professionalism, integrity, and accountability
• Must possess good interpersonal and communication skills and work effectively across departments
• Must maintain confidentiality of sensitive employee, customer, and company information
• Familiarity with Microsoft Azure technologies and Dynamics 365
• Experience with Databricks, Delta Lake, Apache Iceberg, or modern lakehouse architectures