SQL Developer — Data Integrations & Snowflake (Baltimore)

IMR Soft LLC; Baltimore (MD); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Job summary

IMR Soft LLC is seeking an experienced SQL Developer to design, develop, and support data integrations, automated workflows, and reporting solutions for the Wealth and Asset Management domain. The role emphasizes SQL development, data integration, automation, and reporting across a hybrid environment.

Collaborate with Technology and business stakeholders in an Agile setting, contribute to cloud and data strategy, and ensure data accuracy and operational efficiency across critical platforms.

Qualifications

• 5+ years of application development experience.
• Bachelor’s degree or relevant equivalent in Computer Science, Engineering or similar field.
• Financial Services / Asset management exposure is required.
• Experience with Agile development methodologies and Scrum boards.
• Ability to work in the Baltimore office for 40% onsite / 60% remote.

Responsibilities

• Own the development, coding and bug-fixing for data integrations, SSRS reports and Snowflake data loads.
• Maintain clear communications with Scrum Master, team members, sponsors and stakeholders.
• Execute ad-hoc development projects building data integration feeds and SSRS reports and automation.
• Actively participate in daily standups, backlog grooming, retrospectives and sprint planning sessions.
• Submit automation projects for peer review and change management prior to Production deployment.
• Perform related duties, potentially facilitating daily standups as Scrum Master.

Job description

IMR Soft LLC is seeking an experienced SQL Developer to design, develop, and support data integrations, automated workflows, and reporting solutions for the Wealth and Asset Management domain. The role emphasizes SQL development, data integration, automation, and reporting across a hybrid environment.

Collaborate with Technology and business stakeholders in an Agile setting, contribute to cloud and data strategy, and ensure data accuracy and operational efficiency across critical platforms.