Data Engineer

Location: Kansas City, MO (Remote-First) Type: Full-Time Level: Mid to Senior

Join Pumpfiat as a Data Engineer and build the robust, compliant pipelines that process, cleanse, and segment over seven million permission-based prospects — powering ethical outreach at scale.

About the Role

You’ll design and maintain the data infrastructure that ensures our datasets remain accurate, compliant, and ready for high-performance campaigns. Your work will directly impact deliverability, client trust, and the integrity of every prospect record we handle.

This is a remote-first role with a preference for candidates able to collaborate effectively with the Kansas City, MO timezone.

Key Responsibilities

• Design, build, and optimize ETL/ELT pipelines for ingesting, validating, and enriching large-scale prospect data.
• Implement data cleansing, deduplication, and segmentation logic to maintain high-quality, compliant datasets.
• Ensure consent metadata and audit trails are preserved across all transformations.
• Build scalable export tools and APIs for secure, segmented data delivery to clients.
• Monitor pipeline health, performance, and data quality with automated alerts and dashboards.
• Collaborate with engineering and compliance teams to evolve data architecture for growing volume and regulatory needs.

What We’re Looking For

• 4+ years of professional data engineering experience.
• Strong proficiency in Python and SQL; experience with data orchestration tools (Airflow, Dagster, or similar).
• Hands-on experience with cloud data platforms (AWS Redshift/S3, GCP BigQuery, Snowflake, etc.).
• Expertise in building reliable ETL pipelines and working with large datasets.
• Familiarity with data privacy regulations (GDPR, CCPA) and consent management.
• Experience with data quality frameworks, monitoring, and testing.
• Ownership mindset — you ensure data is accurate, timely, and trustworthy.

Nice to Have

• Experience with streaming data (Kafka, Kinesis) or dbt for transformations.
• Background in marketing data, email deliverability, or compliance-heavy industries.
• Contributions to open-source data tools or a strong data-focused portfolio.

Apply for This Role

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