We are looking for a Sr. Data Engineer to join our growing Data Engineering Team. You’ll help evolve Wisetack’s data platform, which powers analytics, reporting, and operational data products across the company. Our platform includes Airbyte for ingestion, dbt for modeling, Athena for querying, Census for reverse ETL, and Dagster for orchestration.

Responsibilities

  • Build and maintain data pipelines that bring together internal and external sources.
  • Contribute to dbt transformations, ensuring reliable, well-tested datasets for analytics and downstream consumers.
  • Support operational data delivery via Dagster, configuring data models to be distributed across Slack, S3, and other delivery channels.
  • Collaborate with engineering and business teams across the organization to make data accessible and useful.
  • Ensure data quality, freshness, and documentation across the platform.
  • Participate in code reviews, design discussions, and Agile ceremonies, contributing to a culture of continuous improvement.

Requirements

  • 3+ years of professional experience with SQL and Python for data processing.
  • 3+ years of professional experience with dbt for modeling and transformations.
  • Experience with ingestion/integration tools (Airbyte, Fivetran, Stitch, or similar).
  • Familiarity with data orchestration frameworks such as Dagster, Airflow, or Prefect.
  • Familiarity with version control (GitLab or similar) and Agile workflows.
  • Strong communication skills, with the ability to work cross-functionally.

Bonus points

  • Exposure to BI tools such as Tableau, Metabase, or similar.
  • Experience with reverse ETL tools such as Census.
  • Experience with financial data and financial services data pipelines.
  • Knowledge of data governance, cataloging, and lineage practices.
  • Familiarity with the AWS data stack (S3, Athena, Glue, Lake Formation, DynamoDB, Lambda, etc.).
  • Interest in machine learning pipelines or advanced analytics.
  • Exposure to Infrastructure-as-Code tools such as Terraform, Pulumi, or AWS CloudFormation.
  • Exposure to containerization technologies such as Docker.

Conclusion

The range of base salary for the position is between $120,000-$180,900, plus equity, and benefits. Pl

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