Pebl
SaaS
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Analytics Engineer at Pebl. Skills: Data engineering, Data modeling, Data pipelines. Implement data pipelines. Maintain data pipelines”
Industry & Context.
What They're Looking For.
Must Have
3+ years data engineering experience, Knowledge of AWS services, Knowledge of modern data stack, Hands-on dbt experience, Hands-on data modeling experience, Proficiency in SQL, Proficiency in Python, Understanding of data governance, Understanding of PII handling
Nice to Have
Familiarity with CI/CD pipelines, Focus on data quality, Interest in expanding data engineering knowledge
What You'll Do.
Implement data pipelines
Maintain data pipelines
Follow best practices in dbt
Follow best practices in data modeling
Follow best practices in ELT development
Follow best practices in ETL development
Design data warehouse models
Develop data warehouse models
Design data warehouse tables
Develop data warehouse tables
Design data warehouse schemas
Develop data warehouse schemas
Build workflows with Airflow
Sustain workflows with Airflow
Collaborate with teams
Implement data solutions
Support data governance practices
Handle sensitive data
Work with AWS services
Participate in code reviews
Participate in documentation
Participate in knowledge sharing
Contribute to data engineering practices
How You'll Work.
Team & Collaboration
Collaborate with teams; Work with engineering teams; Work with analytics teams; Work with business teams
Full Job Description
Purpose in Every Position Pebl puts a world of talent at your fingertips. With our AI-powered Global Work Platform™, companies can hire, pay, and manage employees in 185+ countries—removing risk, red tape, and guesswork from global growth. Backed by more than a decade of compliance leadership and local expertise, Pebl helps businesses move fast, stay compliant, and scale with confidence. With Pebl, companies everywhere can hire great talent anywhere. Where Your Work Moves the Needle. At Pebl, every team member drives our success. Joining us means more than filling a role—you’re accountable for results and impact. Our values guide how we operate, execute, and collaborate across borders. By putting them into action, you’ll help us scale faster, compete harder, and lead the future of global work. What Makes You a Great Fit We are looking for an experienced Analytics Engineer to help design and implement our data platform. You will contribute to our data ecosystem by implementing best practices in data modeling, governance, and security while working with modern data technologies. How You'll Make an Impact: - Implement and maintain data pipelines for analytics and operational workflows using SQL and Python - Follow best practices in dbt, data modeling, and ELT/ETL development - Design and develop data warehouse models, tables, and schemas to support scalable and maintainable analytics solutions - Build and sustain workflows with Airflow (Astronomer) for efficient data orchestration - Collaborate with teams to implement data solutions aligned with our needs - Support data governance practices and handle PII and sensitive data in cloud environments - Work with AWS services for infrastructure management and operations - Participate in code reviews, documentation, and knowledge sharing to strengthen team capabilities - Contribute to continuous improvement of data engineering practices Let's Connect If You Have: - 3+ years of data engineering experience, with knowledge o
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