Job Description

Senior Data Engineer

Overview

The Senior Data Engineer drives innovative data solutions that support Empower’s mission to expand access to quality, affordable medications.

This role ensures secure, reliable data architectures and actionable insights, fostering collaboration and innovation in a dynamic, growth-focused environment.

*** Responsibilities ***

Thrives in a fast-paced environment with adaptability, and strong:

• Project management skills,
• Translate business requirements into effective technical solutions
• Foster collaboration and continuous learning
• Deep expertise in Amazon Web Services (AWS) Serverless technologies
• Relational and non-relational database experience
• ELT/ETL tool skills
• Data modeling
• Data warehousing
• proficiency in programming
• Expertise with data transformation
• Visual reporting tools experience

Key Competencies

• Customer Focus: Ability to build strong customer relationships and deliver customer centric solutions.
• Optimizes Work Processes: Know the most effective and efficient processes to get things done, with a focus on continuous improvement.
• Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives.
• Resourcefulness: Secures and deploys resources effectively and efficiently.
• Manages Complexity: Makes sense of complex, high quality, and sometimes contradictory information to effectively solve problems.
• Ensures Accountability: Holds self and others accountable to meet commitments and objectives.
• Situational Adaptability: Adapts approach and demeanor in real time to match shifting demands of different situations.
• Communicates Effectively: Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.

Values

• People: Our people define who we are as a company, and we believe that understanding and addressing the needs of our team, clients, and community is fundamental to fostering a culture of support and growth.
• Quality: Quality stands at the core of our mission, reflecting our commitment to excellence in every medication we produce.
• Service: We are here to serve others. Every interaction with our patients, providers, employees and other stakeholders comes from a place of service.
• Innovation: By continuously exploring new methodologies and embracing technology, we ensure that every solution we offer is at the forefront of pharmaceutical care.

**** Qualifications ****

• At least 8 years of experience in a Data Engineering role.
• Dimensional and relational data modeling experience.

**** Education ****

• Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• Preferred certifications include Amazon Web Services (AWS) Data Engineering, AWS Data Analytics, Data Vault 2, Snowflake, and expertise in Kimball and Inmon Data Modeling methodologies.
• Candidates must meet the required years of experience at scale with one or more of the listed technologies.

Candidates must meet the required years of experience at scale with one or more of the listed technologies. USC or GC candidates only. No sponsorship available.

Not an OJT opportunity.

No agencies.

No Corp-to-Corp.

No contracts.

No 1099.

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