Senior Data Engineer

Allocate

Senior Data Engineer building data infrastructure to enhance analytics and reporting for fintech startup. Collaborating with cross-functional teams to manage data pipelines and AI capabilities.

Posted 7/27/2026full-timePalo Alto • California • 🇺🇸 United StatesSenior💰 $145,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and extending data lakehouses on AWS, creating robust ETL/ELT pipelines, and collaborating with cross-functional teams to enhance AI/ML capabilities. Proficient in SQL, data engineering principles, and containerization for effective data service deployment.

Highest-signal resume keywords

AWS Cloud ServicesETL/ELT Pipeline DevelopmentSQL ProficiencyMachine Learning UnderstandingContainerization and Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL/ELT DevelopmentSQLRelational Database DesignProgramming Language FluencyMachine Learning ModelsData HandlingDebugging Pipeline Issues

Soft Skills

Excellent Communication SkillsCollaborative Mindset

Tools & Technologies

AWSData LakehouseContainerization Tools

Certifications & Qualifications

Bachelor’s Degree in Computer Science

Industry Keywords

Data EngineeringAI/ML CapabilitiesData ServicesDevOps Collaboration

Tech Stack

Tools & technologies

AWSCloudETLSQL

About the role

Key responsibilities & impact

Build on and extend Allocate's data lakehouse on AWS
Create robust ETL/ELT pipelines to ingest, clean, and transform data
Work closely with data science and engineering team for AI/ML capabilities
Partner with engineering team to deliver data and AI infrastructure
Collaborate with DevOps engineers to deploy and maintain data services
Stay up to date with the latest in data engineering and AI

Requirements

What you’ll need

5+ years of hands-on experience in data engineering (or related fields)
Strong experience working with AWS cloud services for data
Proficiency in SQL and relational database design
Fluency in at least one major programming language used in data engineering
Understanding of machine learning models and data handling
Solid understanding of containerization and deployment
Ability to analyze complex data problems and debug pipeline issues
Excellent communication skills and a collaborative mindset
Bachelor’s degree in Computer Science or similar technical field of study

Benefits

Comp & perks

Medical, dental, and vision
401(k)
Responsible vacation time (PTO)