Data Engineer
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 14, 2026.
Titan Professional Resources is seeking a Data Engineer to join one of our clients. This position will support data infrastructure, analytics, and business intelligence initiatives by developing and maintaining data pipelines, optimizing data processes, and integrating multiple data sources. The ideal candidate will have experience with Snowflake, Matillion, SQL, and cloud-based data platforms.
Responsibilities
Design, develop, and maintain ETL/ELT data pipelines using Snowflake and Matillion.
Optimize database performance, data storage, and query efficiency.
Collaborate with business stakeholders to support analytics, reporting, and business intelligence initiatives.
Ensure data integrity, quality, security, and governance.
Develop and maintain data models, process documentation, and data workflows.
Monitor and troubleshoot data pipelines to ensure reliable and accurate data.
Integrate structured and unstructured data from multiple sources.
Develop scripts, programs, and queries using Python, SQL, and PowerShell.
Support API integrations and recommend solutions to improve data infrastructure.
Other duties as assigned.
Qualifications
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
3-5 years of experience in data engineering, data warehousing, or ELT development.
Hands-on experience with Snowflake and Matillion.
Experience with Microsoft SQL Server, complex SQL queries, stored procedures, and query optimization.
Knowledge of relational databases, data modeling, and ELT principles.
Experience with Python or PowerShell for scripting and automation.
Experience working with REST APIs and Graph APIs.
Understanding of data governance and data quality best practices.
Strong analytical, problem-solving, and communication skills.
Ability to collaborate across teams and manage multiple projects.
Preferred Qualifications
Experience with Azure cloud architecture, storage, and identity and access management (IAM).
Familiarity with Snowflake Cortex and large language models (LLMs).
Experience with Power BI, Tableau, or other business intelligence tools.
Knowledge of data streaming, Agile methodologies, and DevOps practices.