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Inspira Financial · 1 day ago

Data Engineer I

Oak Brook, IL

Full-time

Hybrid

New Grad, Entry Level

$69K/yr - $80K/yr

0+ years exp

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.

Financial Services

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

Qualification

SQL/T-SQLPythonETLData Engineering ToolsCloud SkillsData ModelingSoftware Development LifecycleProblem-SolvingTestingDebuggingSecurity Best PracticesSystem DesignCollaborationContinuous LearningAdaptability

Required

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

Preferred

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