Lead AWS Data Engineer

Title: Lead AWS Data Engineer
Location: % remote

Duration: months with extension based on performance

Work Requirements: US Citizen, GC Holders or Authorized to Work in the


Skillset / Experience:





We are seeking two Senior Data Engineers to join the POP Platform build-out initiative for Q . These engineers will play a key role in designing, developing, and optimizing cloud-based data pipelines and integrations that support large-scale analytics and data-driven decision-making.

The ideal candidates will have strong AWS expertise, hands-on experience with Snowflake, and a proven background in Python/Spark-based data engineering within a global, cross-functional environment. Key Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines using Python, PySpark, and AWS services (Glue, Lambda, S, EMR, Step Functions).

Develop and optimize data models and warehouse schemas in Snowflake, ensuring high performance and reliability.

Implement data ingestion frameworks integrating structured, semi-structured, and unstructured data from multiple sources (APIs, files, databases).

Build and maintain REST APIs for data access and integration, including secure authentication and performance optimization.

Collaborate with data architects, analysts, and business stakeholders in a global, agile team environment to deliver high-quality data solutions.

Ensure compliance with AWS security best practices, including IAM roles, encryption, and data governance policies.

Set up and manage CI/CD pipelines, orchestration, and workflow automation using Airflow, Glue, or similar tools.

Implement robust monitoring, logging, and alerting to ensure reliability and observability across data pipelines.

Required Skills & Experience

+ years of experience as a Data Engineer or similar role, with a strong background in cloud-native data platforms.

Deep expertise in AWS (networking, compute, storage, IAM, CloudWatch, security, cost optimization).

Strong proficiency in Snowflake – data modeling, performance tuning, and external integrations.

Advanced skills in Python and Spark for large-scale data transformation and processing.

Proven experience with API development (REST, authentication, scaling, and automation).

Hands-on experience with CI/CD pipelines and orchestration tools (AWS Glue, Airflow, Step Functions, or similar).

Strong understanding of monitoring and logging frameworks for data pipelines and applications.

Experience working in a global, agile, cross-functional environment, collaborating with distributed teams.

Preferred Qualifications

Experience with infrastructure as code (Terraform, CloudFormation).

Familiarity with modern data governance frameworks and data cataloging tools.

Exposure to real-time data streaming (Kinesis, Kafka) is a plus.

Experience integrating AI/ML or analytics platforms on Snowflake or AWS.

Why Join

Be part of a high-impact, global data platform initiative (POP Platform).

Opportunity to work with cutting-edge cloud and data technologies in a collaborative environment.

Contract extensions possible based on performance and project needs.

Our benefits package includes:

Comprehensive medical benefits

Competitive pay

(k) retirement plan

…and much more!