Data Engineer at Blastpoint

About BlastPoint BlastPoint is a B2B data analytics startup located in the East Liberty neighborhood of Pittsburgh. We give companies the power to engage with customers more effectively by discovering the humans in their data and understanding customer journeys. Serving diverse industries including energy, finance, retail, and transportation, BlastPoint’s Customer Intelligence Platform makes data accessible to business users so they can plan solutions to customer-facing challenges, from encouraging green behavior to managing customers’ financial stress. Founded in 2016 by Carnegie Mellon Alumni, we are a tight-knit, forward-thinking team. Why You Should Work for Us • Solve Challenging Problems: BlastPoint’s platform incorporates cutting-edge approaches to geospatial data, psychographic clustering, data enrichment and a dynamic visualization environment, all at scale. We’re working to break new ground by pulling insights from high-dimensional data. And we’re pushing ourselves to try new and better ways to approach every step of our process. • Have An Impact: Small but mighty, BlastPoint’s growth is due to big companies increasingly trusting us with supporting key decisions using their most sensitive data. What we do positively impacts the lives of millions of Americans (and beyond). • Make Positive Change in the World: Our solutions reduce paper consumption, help struggling families pay their bills, and promote clean energy. We also offer our platform for free to nonprofits and civic-oriented organizations. • Employee-Focused Culture: We support the individual needs of our team, offering schedule and work-from-home flexibility, health insurance, 401K, and three weeks of PTO. We also tailor growth opportunities, from skills training to industry conferences. • Equal Opportunity Employer: BlastPoint is committed to creating an inclusive and diverse workplace, ensuring equal employment opportunities for individuals regardless of race, color, religion, sex, national origin, age, disability, or genetics. Our Values Everybody matters We beat expectations Innovation built on a foundation Cards on the table, always "The smartest systems from the most comprehensive data built by the best people” Data Engineer (Mid-Level) Salary Range: $100K – $135K About the Role 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 What You Bring Required • 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 Preferred • 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 What Sets You Apart • You can own a problem end-to-end, not just execute tasks • You think in terms of scalability and automation, not one-off solutions • You proactively identify issues in data and systems • You balance speed with reliability in production environments • You’re comfortable operating in a fast-paced, startup environment Why Join Us • Work on a platform that directly impacts how major utilities and financial institutions understand and serve their customers. • Own critical infrastructure end-to-end, from data ingestion to platform delivery. • Collaborate with data scientists on ML-powered customer intelligence products. • Influence architecture decisions on a growing, production-scale data platform. • Mentor and grow junior data engineers. 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)