Senior/Principal Data Engineer

Sigma Software is partnering with a fast‑growing AI‑driven SaaS platform that helps finance and accounting teams automate critical workflows, from billing and collections to revenue recognition and reporting. Their technology eliminates manual work, accelerates cash flow, and ensures compliance for high‑growth businesses.

We’re looking for a Senior/Principal Data Engineer to design and own our core data infrastructure from the ground up. You’ll build the foundational platform, including data lakes, data warehouses, ingestion pipelines, and robust data models, that powers analytics, reporting, and AI capabilities. This role is perfect for someone who has taken a platform from concept to production and thrives in fast‑moving environments.

Job Description

• Design and implement a scalable data warehouse or data lakehouse to support analytics, reporting, and business KPIs.
• Develop and maintain reliable data pipelines (batch and/or streaming) from internal databases and external systems.
• Work with stakeholders to translate business requirements into data models and schemas.
• Establish and maintain data modeling standards and best practices.
• Implement monitoring, data quality controls, and observability for data workflows.
• Provide well‑structured datasets to enable self‑service analytics for BI and data teams.
• Document the data platform, including lineage, definitions, and contracts, to create a shared source of truth for metrics.

Qualifications

• 5-8+ years of experience in data engineering.
• Strong programming skills in Python.
• Proven track record of designing and delivering early‑stage data platforms from concept (v1) to production.
• Strong expertise with modern data tooling (e.g., Snowflake/BigQuery/Redshift, dbt, Airflow/Dagster/Prefect, Fivetran/Airbyte, etc.)
• Solid understanding of data modeling, ETL/ELT, and pipeline optimization.
• Strong knowledge of data quality, testing, and monitoring best practices.
• Ability to work independently with minimal oversight and make pragmatic build‑vs‑buy decisions.
• A results‑oriented mindset — delivers quickly, avoids overengineering, and thrives in a greenfield environment.
• English B2
• Eastern Time Zone