Sr Engineer Data

Empower • Overland Park, KS

8d • $105,700 - $149,275 • Hybrid

About The Position

The Senior Data Engineer will design, build, and maintain scalable data infrastructure and data and file ingestion frameworks. This role will collaborate with cross-functional value stream teams, business stakeholders, architects, analysts, and testers to translate data requirements into scalable solutions on AWS that support data-driven reporting across the organization and for external vendors. The Senior Data Engineer will also provide technical guidance to junior engineers, contribute to architectural decisions, and identify opportunities to improve and automate data processes.

Requirements

• Bachelor's degree in Computer Science or a related field, including Information Systems, Mathematics, or Software Engineering, or an equivalent combination of training and experience.
• 4 to 6 years of data engineering experience with a proven track record of designing and implementing scalable ingestion frameworks.
• Proficiency in ETL development and design using Python, PySpark, and Big Data technologies, including Hadoop and Spark.
• Strong SQL knowledge and RDBMS experience with a recognized database such as Postgres, Redshift, or MySQL.
• Hands-on experience with the AWS platform using DynamoDB, EMR Serverless, Lambda, and related technologies.
• Deep understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience working with Agile methodology and Scrum processes.
• Excellent problem-solving skills and the ability to work independently as well as lead junior engineers.
• 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.

Nice To Haves

• 3+ years of IT experience in the financial industry or another highly regulated industry.
• Experience using JIRA in Agile development.
• Knowledge of DevOps and CI/CD best practices.
• Experience with technologies such as QuickSight and Copilot.
• Ability to communicate in a friendly and professional manner with customers and colleagues, remain calm in stressful situations, independently troubleshoot program errors regardless of technology, and write user-friendly explanations of highly technical functionality.
• Customer focus demonstrated through internal and external service excellence, listening skills, patience, empathy, authenticity, proactivity, and perseverance. Ability to deliver optimal solutions in a timely manner, balance customer needs with the best interests of the organization, and maintain a positive approach despite challenges, constraints, or customer emotions.
• Ability to build collaborative and cooperative partnerships, effectively manage conflict, find common ground, and build trust with coworkers, managers, partners, and customers. Demonstrates inclusiveness and appreciation for diverse backgrounds, cultures, thoughts, and experiences; operates with integrity and communicates respectfully; supports the success of others; and addresses conflict openly, respectfully, and through appropriate channels.

Responsibilities

• Design, develop, maintain, and optimize scalable data and file ingestion frameworks for performance and reliability.
• Collaborate with cross-functional value stream teams, analysts, business stakeholders, architects, and testers to understand and refine data requirements and translate them into technical solutions.
• Implement data governance and security best practices.
• Troubleshoot data integrity and performance issues.
• Participate in code reviews and enforce coding standards.
• Mentor junior engineers and provide technical guidance on complex projects.
• Contribute to architectural decisions and design discussions.
• Advise and work on strategic initiatives to mitigate or alleviate core data application issues, including opportunities for process automation.
• Stay current with trends and technologies in data engineering and apply them to improve the data framework.
• Collaborate with colleagues on the development of best practices and resolution of data application issues.
• 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: Senior