Senior Data Engineer: AI-Driven Analytics Platform

Guidehouse; Stati Uniti; Remoto; USD 113.000 - 188.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, dental, vision

401(k) plan

Paid time off

Parental leave

Tuition reimbursement

Professional development

Employee referral program

discretionary bonus

Descrizione del lavoro

Guidehouse is seeking a Senior Data Engineer who blends software and data engineering to build production data platforms in the US. You will own end-to-end pipelines from ingestion to analytics, write production Python, and design cloud pipelines on AWS with data-quality gates and auditability.

You will drive architecture decisions with minimal oversight, leverage AI tooling to accelerate delivery, and apply analytics fluency to validate numbers and reconcile results.

Competenze

• Six or more years of data/software engineering experience building production systems.
• Production-quality Python, CI/CD, and testing practices.
• Expert SQL with advanced window functions and joins.
• Experience with AWS data services (Glue, S3, Redshift, Lambda).

Mansioni

• Own data platforms end to end from ingestion to analytics.
• Design and orchestrate cloud data pipelines on AWS with reliability.
• Implement data-quality gates and reconciliation checks.
• Drive architecture decisions with limited supervision.
• Leverage AI tooling to accelerate delivery while maintaining quality.

Conoscenze

Python

SQL

AWS

Data modeling

CI/CD

Testing

AI tooling

Data quality

Code review

Architecture

Formazione

University Degree

Strumenti

Glue

Step Functions

S3

Redshift

Aurora/RDS

Lambda

EventBridge

ECS/Fargate

IAM

Descrizione del lavoro

Guidehouse is seeking a Senior Data Engineer who blends software and data engineering to build production data platforms in the US. You will own end-to-end pipelines from ingestion to analytics, write production Python, and design cloud pipelines on AWS with data-quality gates and auditability.

You will drive architecture decisions with minimal oversight, leverage AI tooling to accelerate delivery, and apply analytics fluency to validate numbers and reconcile results.