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Data Engineer
BlastPointData 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 & technologiesAWSCloudPandasPostgresPySparkPythonSQL
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPandasPySparkSQLPostgreSQLdata pipelinesdata processingdata validationdata qualitydata workflows
Soft Skills
problem-solvingcommunicationcollaborationattention to detailindependenceproject ownershiptradeoff analysissystem reliabilitymonitoringsecurity best practices