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BlastPoint

Data Engineer

BlastPoint

Data Engineer developing scalable data pipelines for BlastPoint's analytics platform. Contributing to data pipeline development with strong Python fundamentals and cloud experience.

Posted 4/14/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $135,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudPandasPostgresPySparkPythonSQL

About the role

Key responsibilities & impact
  • 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
  • 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
  • Utilize AWS resources to manage data infrastructure
  • Support and improve pipeline orchestration and job execution
  • Contribute to system reliability, monitoring, and security best practices
  • 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

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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)

ATS Keywords

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Hard Skills & Tools
PythonPandasPySparkSQLPostgreSQLdata pipelinesdata processingdata validationdata qualitydata workflows
Soft Skills
problem-solvingcommunicationcollaborationattention to detailindependenceproject ownershiptradeoff analysissystem reliabilitymonitoringsecurity best practices