Engineer Data

Empower • Overland Park, KS

9d • Hybrid

About The Position

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Job Posting Description Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT. As a Data Engineer you will play a role in designing, building and maintaining our data infrastructure and data ingestion framework. You will closely collaborate with cross-functional value stream teams, business teams, architects and testers to design and implement scalable data solutions on AWS cloud that empowers data-driven reporting across the organization as well as external vendors. Solid knowledge in Python, ETL methodologies, SQL and Big Data solutions is critical for success.

Requirements

• Bachelor's degree in computer science or related field (Information Systems, Mathematics, Software Engineering) or equivalent combination of training and experience.
• 2 - 4 years of software development experience preferably in a Data related field.
• Experience with ETL development and design using Python, Big Data (Hadoop/SPARK) SQL knowledge, RDBMS experience on any recognized database (Aurora, MySQL, Postgres, Redshift).
• Experience on the AWS platform
• Understanding of dimensional model and ER designs.
• Strong written and verbal communication skills
• SDLC (Software Development Life Cycle) and Agile Methodology
• Exposure to Data Warehouse principles.
• 2 years IT in financial or other highly regulated industry preferred
• Use of JIRA in Agile development strongly desired
• Knowledgeable about DevOps and CI/CD best practices is a plus

Nice To Haves

• Experience with new technologies like QuickSight, Co-Pilot, etc. preferred
• Communicate in a friendly and professional manner with customers and colleagues remain calm in stressful situations independently troubleshoot program errors regardless of technology write user-friendly explanations of highly technical functionality desired
• Customer Focus is a plus: Delivers internal and external customer service excellence. Exhibits listening skills, patience, empathy, authenticity, pro-activity, and perseverance with external and internal customers. Upholds commitment to delivering optimal solutions, in a timely manner, and balances customer needs with the best interests of the organization. Maintains a positive approach despite challenges, constraints, and/or customer emotions.
• Building Partnerships desired: Builds collaborative and cooperative relationships; effectively manages conflict. Finds common ground and builds trust with co-workers, managers, partners, and customers through demonstration of inclusiveness and appreciation for diverse backgrounds, cultures, thoughts and experiences. Operates with integrity and communicates respectfully in language, writing, and actions. Shows interest in and supports the success of others; provides encouragement, celebrates wins. Addresses conflict openly and respectfully, addresses through proper channels.

Responsibilities

• Design, develop and maintain scalable data and file ingestion framework.
• Collaborate with cross-functional value stream teams, analysts and business stakeholders to understand and refine the data requirements and translate them into technical solutions.
• Optimize data ingestion framework for performance and reliability.
• Follow data governance and security best practices.
• Troubleshoot data integrity and performance issues.
• Participate in code reviews and enforce coding standards.
• Participate in architectural decisions and design discussions.
• Work on initiatives to mitigate and/or alleviate core data application issues, including opportunities for process automation.
• Stay updated with the latest trends and technologies in data engineering and apply them to improve our data framework.
• Collaborate with colleagues regarding development of best practices and/or data application issues.
• Provide input and work on initiatives to mitigate and/or alleviate core data application issues, including opportunities for process automation.
• Operate independently with some latitude for un-reviewed actions or decisions.
• Complete other duties as assigned.

Benefits

• Medical, dental, vision and life insurance
• Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
• Paid volunteer time — 16 hours per calendar year
• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level