Analytics Engineer

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 of AWS services and modern data stack components (Fivetran, dbt, Airflow, Snowflake, Monte Carlo, Atlan) - Hands-on experience with dbt and data modeling techniques - Proficiency in SQL and Python for data processing and pipeline development - Understanding of data governance and PII handling practices - Familiarity with maintaining and optimizing CI/CD pipelines - Strong focus on data quality - Ability to work collaboratively with engineering, analytics, and business teams - Interest in continuously expanding data engineering knowledge #LI-Hybrid Our Commitment to You At Pebl, we’re committed to supporting our team with comprehensive rewards and benefits designed to meet diverse needs across roles and locations. Our core offerings include: - Flexible Time Off – Take the time you need to recharge. - Parental Leave – Support for growing families. - Health and Dental Insurance – Where applicable, to cover you and your loved ones. - Retirement Savings + Employee Incentive Plan – Plan for the future while sharing our success. Please visit our career page for more information https://hellopebl.com/company/careers/. Pebl is an Equal Opportunity Employer. We power global teams and believe diverse perspectives drive innovation and impact. Employment decisions at Pebl are based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law. We’re committed to fostering an inclusive culture where every teammate can thrive and do the best work of their career—anywhere in the world.