Sr. Data Engineer - Oak Brook, United States - Inspira Financial

Description

Job Description

Take the next step in your journey at Inspira Financial. You will help businesses and individuals thrive today, tomorrow, and into retirement. Become part of a company that is people centric and client obsessed in every interaction; a community of forward-thinking individuals focused on driving results to deliver our mission with an unwavering commitment to integrity. Join us as we strengthen and simplify the health and wealth journey – relentlessly pursuing better outcomes for all. We believe in finding the best talent While some roles are based at one of our office locations, remote roles can sit in any of the following states: AL, AZ, FL, GA, IA, IL, IN, MI, MN, MO, NC, NE, PA, SC, TN, TX, UT, VA and WV. Remote status and role locations are subject to change. Relocation is not provided.

Don't meet every single requirement? Here at Inspira Financial, we believe there is no "perfect" candidate and want to encourage applying even if all the requirements listed aren't met. Our goal is to build an authentic workplace by valuing diversity in our candidates. We work to ensure that our team reflects the diversity of the businesses and clients we serve. We are always looking to expand our growing team with dynamic and enthusiastic individuals. If you enjoy a collaborative, fun environment that champions career development, Inspira Financial is the place for you We look forward to receiving your application Check out this Inspira Financial video to learn more about our company

HOW YOU WILL SOAR:

We are seeking talented Data Engineers who can create scalable data platform solutions while collaborating with an experienced team of product development professionals. You will join a cross-functional, DevOps based, Agile team responsible for the entire product development life cycle, encompassing conception, discovery, framing, development, deployment, measurement, and continuous improvement. As a Data Engineer, you should possess expertise in modern data-centric coding languages, development frameworks, and third-party libraries. Additionally, we value individuals who are team players, possess a keen eye for visual design, and prioritize outcomes over outputs. If you are ready to advance your career and contribute to a rapidly growing company dedicated to delivering innovative products and ensuring an exceptional client experience, we eagerly await your application The Sr Data Engineer will report to the Data Engineering Manager in the Enterprise Data Visualization Team.

• Collaborating with Users, Engineers, Designers, and Product Managers to foster ideation and deliver cutting-edge software solutions
• Transforming designer mock-ups and wireframes into visually captivating and seamless front-end experiences for both websites and mobile applications
• Employing Test First and Acceptance Criteria Driven approaches to continuously test and deliver high-quality software
• Implementing mobile responsive designs to ensure optimal user experiences across various devices.
• Ensuring solutions meet non-functional requirements, such as security, performance, maintainability, scalability, usability, and reliability
• 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
• Through the successful execution of these responsibilities, the data engineer will make significant contributions to the overall achievements of our team and organization

IF YOU HAVE SOME OR ALL OF THE FOLLOWING, APPLY:

• Bachelor's Degree preferred in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Applied Mathematics, Statistics, Data Science, or similar/related Engineering/Science based disciplines.
• 5-7 years of applicable experience
• Microsoft Certified Azure Developer Associate - Preferred
• Microsoft Certified Azure DevOps Engineer Expert -Preferred
• Microsoft Certified Azure Data Fundamentals -Preferred
• Tableau Desktop Specialist -Preferred
• Tableau Data Analyst
• Tableau Server Associate -Preferred
• Microsoft Certified Power BI Data Analyst
• Scaled Agile For Enterprise (SAFe) - Preferred

Skills & Abilities:

The ideal candidate will have a proven track record of demonstrating:

• Strong Programming Skills: Proficiency in programming languages such as SQL/T-SQL, Python. Data engineers should have a deep understanding of data structures, algorithms, and the ability to write clean, efficient, and maintainable code.
• Strong BI Developer Skills: Proficiency in BI tools viz; Tableau, PowerBI & SSRS, ability to design, develop and maintain visually rich reporting solutions
• Strong Data / Database Skills: 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, load data using SSIS, experience with data transformation
• Strong Data Analytical Skills: Working with unstructured datasets, a successful history of transforming, processing and extracting values from large disconnected datasets, ability to approach data organization challenges whilst keeping an eye on what is important, possess intellectual curiosity to find new and unusual ways to solve data management issues.
• Support the development of enterprise data visualization strategy ensuring rapid delivery while taking responsibility for applying standards, principles, theories, and concepts
• Support enterprise data governance initiatives, and drive efforts in defining data standards, designing classification taxonomies, developing data management processes, ensuring proper meta-data management.
• Work cross-functionally with other internal business units, such as, marketing, operations and sales
• Design and implement hybrid data cloud services, leveraging public could providers (i.e. Azure) and specialty providers (i.e. Tableau Cloud) Skills: Experience working in Hybrid and Cloud based environments where essentially all things are handled "as code" and promoted via automated pipelines which incorporate audit, quality, and security controls.
• Strong understanding of Salesforce Financial Services Cloud data object model preferred
• Have keen observation skills with strong attention to detail
• Collaborate with both IT and business stakeholders in integrating analytics and data science output to create visually rich data reporting
• Capable of creating and maintaining respectful, strong working relationships with business units from non-technical users to technical leads on projects to developers
• Strong client service orientation
• Ability to effectively execute tasks in a high-pressure environment
• Ability to prioritize, plan and take initiative
• Strong verbal and written communication skills; positive attitude; ability to work as team member
• Highly self-motivated and directed
• Problem-Solving and Analytical Skills: Data engineers must possess strong problem-solving abilities and the capacity to analyze complex technical challenges. They should be able to break down problems into manageable components and devise effective solutions.
• Software Product Development Lifecycle: Familiarity with the software development lifecycle (SDLC) is crucial. This includes understanding requirements gathering, system design, implementation, testing, deployment, and maintenance in an Agile/Scaled Agile manner. Experience with Scrum, Kanban, Extreme Programming, or other outcome based iterative development approach required.
• Knowledge of Development Tools and Frameworks: Data engineers should be proficient in using development tools and frameworks relevant to their domain. This can include version control systems (e.g., Git), integrated development environments (e.g., Visual Studio Code, IntelliJ), and frameworks specific to data platform development
• Collaboration and Communication: Effective collaboration with cross-functional teams is vital for data engineers. Strong communication skills, both written and verbal, enable them to clearly express ideas, collaborate with colleagues, and convey technical concepts to non-technical stakeholders.
• Continuous Learning: The field of software engineering is constantly evolving, so a mindset of continuous learning is crucial. Staying updated with new technologies, programming languages, frameworks, and industry trends is highly valued.
• Testing and Debugging: Proficiency in automated software testing techniques, including unit testing, integration testing, and debugging, is important for ensuring the reliability and quality of software applications.
• Knowledge of Security Best Practices: Strong understanding of secure coding practices and the ability to apply them effectively in software development. Ability to implement security controls, conduct code reviews, and perform security-focused testing, ensuring adherence to industry standards and minimizing the risk of potential exploits.
• Compliance: Familiarity with regulatory compliance requirements and industry-specific security standards, such as GDPR, HIPAA, PCI-DSS, and ISO Ability to design and implement software solutions that meet these compliance standards, ensuring the protection of sensitive data and maintaining regulatory compliance.
• System Design and Architecture: Data engineers should have a solid understanding of data platform system design principles and architecture patterns. This includes scalability, performance optimization, and the ability to design robust and efficient software systems.
• Adaptability and Flexibility: Data engineers often encounter changing requirements, tight deadlines, and evolving technologies. Being adaptable, flexible, and able to quickly learn and adapt to new tools and frameworks is crucial.
• Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python
• Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows using tools such as SSIS and helping to move them in production.
• Exceptional analytical skills and strong attention to detail
• Ability to prioritize, plan and take initiative
• Highly self-motivated and directed
• Experience in a high availability environment preferred
• Knowledge of ITIL/ITSM Foundational practices and framework preferred

Inspira Financial provides health, wealth, retirement, and benefits solutions that strengthen and simplify the health and wealth journey. With more than 7 million clients, representing over $62 billion in assets, Inspira works with thousands of employers, plan sponsors, recordkeepers, TPAs, and other institutional partners — helping the people they care about plan, save, and invest for a brighter future. Inspira relentlessly pursues better outcomes for all with our automatic rollover services, health savings accounts, emergency savings funds, custody services, and more. Learn more at

We have been recognized for our remarkable growth on lists such as Crain's Fast 50 and Inc. 5000, and for our outstanding workplace culture and benefits with Built In's 2023 Best Places to Work and Gallagher's 2022 Best-In-Class Employer awards.