Data Engineer I

Inspira Financial is a company focused on helping businesses and individuals thrive through innovative health and wealth solutions. They are seeking an entry-level Data Engineer who will collaborate with a cross-functional team to create scalable data platform solutions and contribute to the entire product development life cycle.

Responsibilities

• Collaborating with Users, Engineers, Designers, and Product Managers to foster ideation and deliver cutting-edge software solutions
• Employing Test First and Acceptance Criteria Driven approaches to continuously test and deliver high-quality software
• Designing and developing data pipelines while adhering to industry best practices and standards
• Ensuring solutions meet non-functional requirements, such as security, performance, maintainability, scalability, usability, and reliability
• Develop and maintain basic Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) data pipelines in Talend
• Write and optimize SQL queries for data analysis, data extraction, data manipulation and writing and modifying existing SQL queries for better performance in Snowflake
• Clean, validate, and transform raw data to ensure quality and integrity
• Learn and apply techniques in evolving technologies such as Generative and Agentic AI
• Train and assist with data modeling and the management of databases, such as relational and NoSQL databases
• Help troubleshoot issues with data infrastructure and pipelines as and when Prod support schedules require to be on call rotation
• Contribute to documenting data workflows and best practices
• Perform performance tuning and monitoring of data processes
• Actively pursuing continuous professional growth by staying updated on new development tools, programming techniques, and computing equipment. Engaging in educational opportunities, keeping informed through professional publications, nurturing personal and professional networks, and actively participating in relevant professional organizations

Skills

• Proficiency in programming languages such as SQL/T-SQL, Python is essential
• Knowledge and competence with relational and noSQL databases (e.g., SQL Server, MongoDB) including proficiency with Data Definition Languages, Data Mark-Up Languages and ability to design and create database tables, views, functions and stored procedures
• Familiarity with the software development lifecycle (SDLC) is crucial
• Strong problem-solving abilities and the capacity to analyze complex technical challenges
• Effective collaboration with cross-functional teams
• Strong communication skills, both written and verbal
• Proficiency in automated software testing techniques, including unit testing, integration testing, and debugging
• Strong understanding of secure coding practices and the ability to apply them effectively in software development
• Solid understanding of data platform system design principles and architecture patterns
• Ability to prioritize, plan and take initiative
• Highly self-motivated and directed
• Exceptional analytical skills and strong attention to detail
• Adaptability and flexibility to changing requirements, tight deadlines, and evolving technologies
• 0-2 years of experience in Data Engineering
• Bachelor's degree preferred in Computer Science, Computer Engineering, Software Engineering, Statistics, Data Science, or similar/related Engineering/Science based disciplines
• Microsoft Certified Azure Data Fundamentals preferred
• Snowflake SnowPro Certification preferred
• Snowflake SnowPro Certification Data Engineer preferred
• Experience in a high availability environment preferred
• Knowledge of ITIL/ITSM Foundational practices and framework preferred

Benefits

• Healthcare
• 401K savings plan
• Company holidays
• Paid time off
• Parental leave
• Employee assistance program

Company Overview