Data Engineer: Scalable Data Lake & AI Pipelines

Amerit Fleet Solutions

United States

Hybrid

USD 150,000 - 170,000

Full time

7 hours ago

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Benefits offered by this job

Health insurance

401(k) matching

Professional development budget

Flexible work arrangements

Job summary

Amerit Fleet Solutions seeks an experienced Data Engineer to design, build, and maintain a robust data lake infrastructure that will support analytics, reporting, and AI initiatives. You will drive data governance, quality, and accessibility across IT, Analytics, Operations, and AI teams.

Join a cross-functional group to optimize pipelines, enforce security, and deliver auditable data flows for real-time and batch processing.

Qualifications

5+ years as Data Engineer; 2+ years building data lakes or enterprise data platforms.
Experience with large-scale data infrastructure projects (100GB+ datasets).
Experience implementing data governance, metadata management, and catalogs.
Track record of designing highly available systems (99.9%+ uptime).
Strong understanding of security, encryption, and compliance frameworks.
AWS/Azure certifications preferred (Data Analytics or Data Engineer).

Responsibilities

Design and build scalable data lake architecture across cloud platforms.
Develop and maintain automated ETL/ELT pipelines from multiple sources.
Establish data quality frameworks with validation rules and dashboards.
Enforce data governance: cataloging, metadata, lineage, access controls.
Monitor performance, optimize queries, and manage storage costs.
Implement disaster recovery and security controls with SOC 2 alignment.
Create technical documentation and runbooks; train analysts and data scientists.
Collaborate with IT, Analytics, and AI teams to align data strategy.