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

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

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)

Applicant 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