Design and implement full-stack data engineering solutions, leveraging expertise in BI/UX/UI design, data visualization, and cloud technologies. Develop and integrate APIs, and utilize AI tools to optimize workflows. Collaborate with cross-functional teams to deliver high-quality solutions.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Summary Sr. Data Engineer (McLane)
- Full Stack Data Engineering:
- Hands-on experience building both front-end (executive dashboards/portals) and back-end (data pipelines, integrations) solutions in data-focused environments.
- Data Visualization & BI Product Design:
- Strong skills in BI/UX/UI design; ability to create user-friendly, executive-level dashboards and cockpit interfaces.
- Advanced BI Tools Proficiency:
- Expertise in Power BI and Microsoft Fabric (required).
- Experience with Looker (LookML) or similar BI tools (required).
- API & Integration Experience:
- Skilled in developing, consuming, and integrating with APIs.
- AI Proficiency:
- Advanced use of AI tools to bridge technical skill gaps and optimize workflows.
- Cloud Experience:
- Strong background in working with cloud technologies in data engineering contexts.
- Balanced Technical Skillset:
- Demonstrated ability to work across BI engineering, data engineering, and full stack development.
- Java programming experience required.
- Cross-team Collaboration:
- Ability to operate as a shared resource, supporting multiple teams with both front-end and back-end solutions.
- Preferred:
- Experience in retail or supply chain data environments.
- Experience Level:
- Minimum 5+ years of relevant experience.
- Location/Work Style:
- Based in Austin, TX (3 days onsite), relocation considered.
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