Analytics Engineer

Pebl

$80K — $110K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of data engineering experience with AWS services and modern data stack components.
  • 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 collaborate with engineering, analytics, and business teams.

Responsibilities

  • Implement and maintain data pipelines for analytics and operational workflows.
  • Follow best practices in dbt, data modeling, and ELT/ETL development.
  • Design and develop data warehouse models, tables, and schemas for analytics solutions.
  • Build and sustain workflows with Airflow for efficient data orchestration.
  • Collaborate with teams to implement data solutions aligned with needs.
  • Support data governance practices and handle PII and sensitive data.
  • Work with AWS services for infrastructure management and operations.
  • Participate in code reviews, documentation, and knowledge sharing.

Benefits

  • Flexible Time Off to recharge.
  • Parental Leave for growing families.
  • Health and Dental Insurance for you and your loved ones.
  • Retirement Savings + Employee Incentive Plan for future planning.
Full Job Description
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.

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