AWS Data Engineering Advisor

ENGIE North America Inc.; Houston (TX); Hybrid; USD 117,300 - 179,860; Full time

Benefits offered by this job

Hybrid work policy

Competitive bonus plan

Medical/dental/vision insurance

Job summary

ENGIE North America Inc. seeks an AWS Data Engineering Advisor to build production‑grade data pipelines on AWS, integrate AI agents into workflows, and ensure secure, scalable data delivery.

You will design and maintain ETL/ELT processes, ingestion from Snowflake/APIs into S3 data lakes, and streaming with Kinesis, while ensuring data quality and governance. You will collaborate with analytics, platform, and business teams, deploying containerized workloads with AWS Batch and ECS, maintaining

Qualifications

• Bachelor’s degree in computer science, information technology, MIS, or related field, or equivalent experience.
• 7+ years of data engineering experience with strong AWS depth.
• Strong Python skills for data engineering and pipeline development.
• Hands-on with S3, Glue, Athena, IAM, Secrets Manager and CloudWatch.
• Experience with Spark/PySpark and large-scale data processing.
• Proficient in SQL for analytical workloads and Parquet-based lake design.
• Experience with Docker and orchestration on AWS Batch and ECS.

Responsibilities

• Build and maintain robust ETL/ELT pipelines in Python on AWS.
• Develop ingestion workflows from external systems into S3-based data lake zones.
• Implement and optimize data processing with AWS Glue, Athena, and Parquet/Iceberg patterns.
• Create and maintain streaming data workflows using Amazon Kinesis.
• Manage schema validation, data quality checks, and metadata consistency.
• Build reusable utility libraries for AWS interactions (Sessions, Secrets Manager, S3, Athena, Glue).
• Implement config-driven pipeline execution and operational controls using DynamoDB.
• Own deployment and runtime operations for containerized workloads on AWS Batch and ECS with ECR.
• Ensure observability with structured logs, run summaries, retry logic, and alerts.
• Partner with analytics, platform, and business teams to deliver reliable datasets and SLA-backed pipelines.

Skills

Python

S3

Glue

Athena

IAM

Secrets Manager

CloudWatch

Spark PySpark

SQL

Parquet

Docker

Kinesis

CI/CD

Education

Bachelor’s degree in CS/IT or related field

Tools

Docker

AWS Batch

ECS

ECR

Job description

AWS Data Engineering Advisor

We are looking for an AWS Data Engineering Advisor to build applications and accelerate delivery using Agentic AI coding. As the Data Engineering Advisor, you will report to the Senior Data Architect, focus on developing production‑ready software, integrating AI agents into engineering workflows, and using AWS services to deliver secure, scalable solutions.

Responsibilities

• Build and maintain robust ETL/ELT pipelines in Python on AWS
• Develop ingestion workflows from external systems, for example Snowflake and APIs, into S3‑based data lake zones
• Implement and optimize data processing with AWS Glue (Spark/PySpark), Athena SQL, and Parquet/Iceberg table patterns
• Create and maintain streaming data workflows using Amazon Kinesis
• Manage schema validation, data quality checks, partitioning strategy, and metadata consistency
• Build reusable utility libraries for AWS interactions, including sessions, Secrets Manager, S3, Athena, and Glue
• Implement config‑driven pipeline execution and operational controls using services like DynamoDB
• Own deployment and runtime operations for containerized workloads on AWS Batch and ECS with ECR
• Ensure observability through structured logs, run summaries, retry logic, and alerting hooks
• Partner with analytics, platform, and business teams to deliver reliable datasets and SLA‑backed pipelines

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, MIS, or a related discipline, or an equivalent combination of education and relevant experience
• A minimum of 7 years of data engineering experience, with strong AWS implementation depth
• Strong Python skills for data engineering and pipeline development
• Hands‑on experience with S3, Glue, Athena, IAM, Secrets Manager, and CloudWatch
• Experience with Spark/PySpark and large‑scale data processing
• Experience writing and optimizing SQL for analytical workloads
• Experience with Parquet‑based lake design, partitioning, and performance tuning
• Experience with containerized data workloads (Docker) and orchestration on AWS Batch and ECS
• Familiarity with streaming concepts and Kinesis‑based ingestion
• Strong software engineering practices, including modular code, testing, code reviews, and CI/CD awareness
• Ability to troubleshoot production data pipelines and drive root‑cause resolution

Additional Details

• This role is eligible for a hybrid work policy; a minimum of 3 days working in office per week
• Must be willing and able to comply with all ENGIE ethics and safety policies

Compensation

Salary Range: $117,300 - $179,860 USD annually

This represents the average expected pay range for a qualified candidate.

ENGIE complies with all federal, state, and local minimum wage laws. Actual salary offered may vary depending on geography, experience, education, internal pay alignment, or other bona fide factors.

In addition to base pay, this position is eligible for a competitive bonus / incentive plan.

Benefits include comprehensive medical, dental, vision, life insurance, 401(k) retirement savings plan with company match, paid time off, and supplemental benefits supporting well‑being for employees and families.

Equal Opportunity Employment

ENGIE is proud to be an equal opportunity workplace, and we are firmly committed to creating an inclusive workplace for all employees. We are committed to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

If you need assistance with this application or a reasonable accommodation due to a disability, you may contact us at [e-mail]. This email address is reserved for individuals with disabilities in need of assistance and is not a means of inquiry regarding positions or application status.

We value internal mobility and will offer sponsorship for this role to internal candidates only.

The safety of our employees is our number one priority. All employees at ENGIE have both a duty and the authority to STOP WORK if unsafe acts are observed.