Data Engineer
About the role
Auger is building an operating system for supply chain teams. Our customers rely on Auger to understand reality and change it: reporting, AI-powered decision support, and write-back execution systems that operate at scale. At the core of this system is Data Engineering. This role owns the transformation of messy, customer-shared data into a unified, production-grade ontology that directly powers analytics, AI workflows, and execution systems.
Responsibilities
- Leverage new and existing customer data sources ingested into Auger’s core data lake and transform them into our ontology.
- Ingest data from databases, streams, batch files, and incremental feeds.
- Design and operate medallion-style lakehouse pipelines (bronze → silver → gold).
- Transform raw inputs into a consistent digital twin of supply chain reality.
- Serve high-quality data to analytics, AI workflows, and write-back systems.
- Own data correctness and reliability in production, including monitoring, on-call, and incident response.
- Build data quality checks, validations, and safe backfill strategies.
- Use AI-assisted tools responsibly, reviewing and hardening generated code.
- Reduce complexity by simplifying pipelines and automating repetitive work.
Requirements
- Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience.
- 2+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python.
- 2+ years demonstrated experience in data management (structured and unstructured) and modern database technologies.
- Experience building and operating production data pipelines in distributed systems.
- Hands-on experience with lakehouse or warehouse architectures.
- Strong schema design skills for structured and semi-structured data.
- A production mindset—you’ve owned systems that break and fixed them.
- Experience supporting AI/ML or AI-powered products.
- Familiarity with streaming or incremental processing.
- Experience with data quality, observability, or anomaly detection.
- A deep curiosity and eagerness to problem solve without a playbook.
Qualifications
- Ability to work collaboratively through ambiguity, with urgency, patience, and good humor.
Skills
- Data Engineering
- Data Ingestion
- Data Transformation
- Data Quality
- Data Observability
- AI/ML Integration
- Production Systems Management
Benefits
Compensation & Benefits: As part of our commitment to People Powered Greatness, we invest in our team members with competitive compensation and a comprehensive benefits package to support your health, financial future, and daily life. The package includes medical, dental, and vision coverage, a 401(k) with company match, and commuter benefits. Total compensation may include a combination of a competitive base salary and equity. Your initial placement within our salary range will be based on your experience, qualifications. The base pay range for this role is $150,000 – $225,000 per year.
Pay
$150,000 – $225,000 per year
Schedule
Full-time