Über
Contract Location:
Torrance, CA / Remote
Domain:
Enterprise Survey Platform / Qualtrics Primary Stack:
AWS | Python | SQL | Qualtrics API
The
AWS Data Engineer - Qualtrics Integration
is responsible for designing, building, and maintaining scalable, automated data pipelines that support Qualtrics survey ingestion, transformation, and downstream reporting. This role focuses on
serverless AWS data engineering , integrating
Qualtrics APIs
with AWS services to process structured survey data, dealer hierarchies, and reporting files. The engineer will ensure
data accuracy, automation, monitoring, and performance
across end-to-end workflows.
Key Responsibilities AWS Cloud & Data Engineering
Design and maintain
ETL pipelines using AWS Glue (PySpark) Develop
AWS Lambda functions
(Python / Node.js) for serverless data processing Manage
AWS S3
for Qualtrics input/output storage and optimized data access Orchestrate workflows using
AWS Step Functions
and
MWAA (Airflow) Query structured datasets using
AWS Athena Monitor pipelines using
CloudWatch logs and metrics Data Processing & ETL
Transform and aggregate Qualtrics datasets (CSV, JSON, XML) Merge multiple source files (e.g., dealer master + employee files) into unified hierarchies Automate ingestion, transformation, validation, and report generation Implement reusable, scalable ETL frameworks API & Integrations
Integrate with
Qualtrics APIs
to extract raw survey data and response files Implement
event-driven processing
(S3 triggers → Lambda) Connect AWS pipelines with
CRM, ERP, BI tools , or downstream platforms Data Quality & Reporting
Perform
data validation and quality checks
prior to Qualtrics ingestion Generate formatted output files aligned to business-defined templates Support ad-hoc analysis using SQL and Athena Programming & Automation
Develop robust
Python scripts
for Glue, Lambda, and automation tasks Write optimized
SQL queries
for structured data access Use
Bash/Shell scripting
for file movement and preparation DevOps & Security (Nice to Have)
Configure
IAM roles and permissions
securely Implement
Infrastructure as Code (Terraform / CloudFormation) Support
CI/CD pipelines
for data workflows Required Skills & Experience
Strong experience in
AWS Data Engineering & Serverless Architecture Hands-on expertise with
AWS Glue, Lambda, S3, Athena, Step Functions Experience with
MWAA (Airflow)
for orchestration Strong
Python and SQL
skills Experience integrating
Qualtrics API
or structured survey data Ability to troubleshoot pipeline failures and performance issues Preferred / Nice-to-Have Skills
Experience with
Terraform or CloudFormation CI/CD for data pipelines Experience supporting
BI tools
(Power BI, Tableau, etc.) Knowledge of data governance and security best practices Ideal Candidate Profile
AWS-focused Data Engineer with strong automation mindset Comfortable working with
survey / VoC / structured data Strong debugging, monitoring, and optimization skills Able to work independently in enterprise environments Recruiter Submission Template -
Full Name: Degree Major with University & Completion Year: Total Years of Data Engineering Experience: Total Years of AWS Data Engineering Experience: Total Years of Experience with Serverless Architecture: Experience with AWS Glue (PySpark ETL)? (Yes/No - please elaborate): Experience with AWS Lambda (Python/Node.js)? (Yes/No - please elaborate): Experience with AWS S3 data storage & optimization? Experience with AWS Athena? (Yes/No): Experience implementing data validation & quality checks? Experience working with Qualtrics API? (Yes/No - please specify): Experience with event-driven processing (S3 → Lambda)? Experience integrating AWS with CRM / ERP / BI tools? Python Experience (years & libraries used): SQL Experience (years & databases/tools): Experience with IAM & role-based access? Brief description of a recent AWS data pipeline you built (tools + outcome): Motivation / Reason for Interest in Qualtrics Data Engineering Role: Contact Number: Email ID: LinkedIn Profile URL: Full Address (Street, City, State, Zip): Notice Period (in weeks): Current Work Authorization Status: Expected Hourly Rate: W2 / C2C (If C2C, corporation name): Are you comfortable working primarily
Remote with Limited Onsite Flexibility
?
Sprachkenntnisse
- English
Hinweis für Nutzer
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