[Hiring] Data Engineer @BlastPoint

Role Description

We’re looking for a Data Engineer who can contribute to data pipeline development end-to-end—combining strong Python fundamentals with cloud and data infrastructure experience.

What You’ll Do

• Build & Own Data Pipelines:
  • Design, build, and maintain scalable data pipelines for ingestion, transformation, validation, and delivery.
  • Write clean, efficient Python code using Pandas and PySpark for data processing.
  • Optimize data workflows for performance, reliability, and cost.
• Data Onboarding & Integration:
  • Automate data onboarding workflows to increase speed and consistency.
  • Integrate client data with public and private data sources.
  • Identify and resolve data quality issues across the pipeline lifecycle.
• Cloud & Infrastructure:
  • Utilize AWS resources to manage data infrastructure.
  • Support and improve pipeline orchestration and job execution.
  • Contribute to system reliability, monitoring, and security best practices.
• Collaboration & Delivery:
  • Partner with engineering, data science, and product teams to deliver data solutions.
  • Own projects from concept through production.
  • Communicate clearly on progress, tradeoffs, and outcomes.

Qualifications

• 3–5 years of experience in data engineering, software engineering, or a related field.
• Strong proficiency in Python, with experience in Pandas and/or PySpark.
• Solid SQL skills and experience with relational databases (preferably PostgreSQL).
• Hands-on experience with AWS cloud services.
• Experience building and maintaining production data pipelines.
• Strong attention to data quality and validation practices.
• Familiarity with Git and version control workflows.
• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.
• Authorized to work in the United States.

Requirements

• Experience building machine learning data pipelines.
• Familiarity with Terraform or infrastructure-as-code.
• Familiarity with CI/CD pipelines (e.g., GitHub Actions).
• Familiarity with Parquet / PyArrow and data lake patterns.

Benefits

• Base Salary + Equity (Ownership in BlastPoint).
• Home Office: $500 stipend.
• Health: Medical, dental, and vision insurance.
• Time Off: 3 weeks paid vacation, 10 paid holidays, unlimited sick time.
• Retirement: 401(k).