> Markdown version of [/jobs/ext/3760494-data-integration-engineer](https://www.wearedevelopers.com/jobs/ext/3760494-data-integration-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Integration Engineer - **Company:** Expert Technology Services - **Location:** Durham, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Agile Methodology, Amazon Web Services, Data Analysis, JIRA, Profiling, Code Review, Data Integration, Data Systems, Data Warehousing, Meta-Data Management, Performance Tuning, Scrum Methodology, PL-SQL, SQL Databases, Virtualization Technology, Snowflake, Performance Monitor, Data Management, Data Pipelines, Sql Tuning - **Published:** October 15, 2026 - **Apply:** https://www.careerjet.com/jobad/us26b4bb458a717907b549345e8d96bbba ## About the Role Minimum 8+ years' experience in Data Management, with strong background in analytical data warehousing and enterprise-scale data platforms. - At least 3+ years of hands-on experience with Snowflake Cloud Data Warehouse, including advanced features and performance optimization for large analytics workloads. - Strong expertise in AWS cloud architecture, designing scalable, secure, and cost-efficient data solutions using core AWS services. - Responsible for designing, developing, and maintaining complex SQL and PL/SQL procedures for high-performance data integration and transformation. - Develop data integration solutions using Snowflake tools (Snowpark, Streams, Tasks, Snowpipe) within AWS for both real-time and batch pipelines. - Proficient in logical and physical data modeling to support analytics, reporting, and BI solutions. - Experience in developing dimensional data models, including SCDs and multiple fact tables, aligned with analytics best practices. - Manage the full data lifecycle: lineage, profiling, mapping, integration, validation, cleansing, masking, subsetting, archiving, purging, virtualization, and metadata management. ## Description Ensure data quality through implementation and adherence to testing standards (unit, integration, UAT). - Perform SQL performance tuning, proactive monitoring, and root cause analysis for data pipeline and platform issues. - Actively participate in Agile teams, contributing to sprint planning, implementation, estimation, and documentation using Jira. - Collaborate with peers, architects, and stakeholders, providing guidance and conducting code reviews for junior engineers. - Demonstrate strong verbal and written communication skills, partnering with both technical and business teams. - Hybrid work model: 3 days onsite, video interviews, anticipated start in 2-4 weeks. - No visa restrictions; LinkedIn profile required for all candidates.