Build, maintain, and optimize ETL/ELT pipelines for ingesting, transforming, and processing data.
Ensure data pipelines are scalable, reliable, and efficient.
Design and implement data models, warehouses, and lakehouse architectures.
Optimize data storage solutions using relational (SQL) and NoSQL databases.
Work with big data technologies like Spark, Hadoop, and Kafka for large-scale data processing.
Deploy and manage data solutions on cloud platforms (AWS, Azure, GCP).
Improve query performance and storage efficiency.
Implement indexing, partitioning, and caching strategies for faster data retrieval.
Performs other duties as assigned.

Main Projects:

Converting from old JDE to new JDE

rewriting all integrations in SSIS to stored procedures
moving to Mulesoft and building a Lakehouse and Fabric SQL version is 2014
this person will be helping to move to

SQL 2025

Managed service provider helping in moving but this person will be leading efforts

Salary:

$120,000-130,000 annually plus 15% bonus depending on skills and experience We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements We are seeking candidates with strong experience in: ∙ SQL (advanced query development, performance tuning, and data modeling) ∙ Microsoft Fabric (data engineering, pipelines, and analytics workloads) ∙ MuleSoft (API-led connectivity, integrations, and orchestration) The ideal candidate should also have: ∙ Experience designing and building scalable data pipelines ∙ Strong understanding of data architecture and integration patterns ∙ Ability to work cross-functionally with business and technical teams ∙ Experience with cloud-based data platforms Mulesoft Fabric","accountId","34422280","Insight 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Sr. Data Engineer (SQL and SSIS)