Senior Data Engineer — Build Scalable ML Pipelines (Remote)

HeadsUp AI; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

HeadsUp AI is seeking a seasoned Data Engineer (senior-level and up) to join a remote-first team delivering a next-generation sales tool for product-led-growth companies. You will build and scale data pipelines, ingest millions of events daily, and create reliable APIs shaping product decisions.

You will work closely with founders to understand buyer personas and roadmap, shaping the data platform and culture on the ground floor of a greenfield opportunity.

Qualifications

• Experience building data-heavy systems using Scala/Beam on Dataflow and BigQuery.
• Proficiency in at least one SQL dialect (MySQL, PostgreSQL, SqlServer, Oracle).
• Ability to design scalable data APIs and data pipelines.

Responsibilities

• Lead data engineering work including event ingestion architecture and ML pipelines.
• Build reliable services to ingest millions of events daily and derive insights and alerts.
• Own core data pipelines and scale data processing to tens of millions of users.
• Design scalable, durable APIs and optimize data partitioning and infrastructure for security and latency.
• Implement systems to monitor data quality and consistency across clients.
• Define engineering culture and processes in collaboration with founders.

Skills

Scala

Beam (Scio)

SQL

Data pipelines

Tools

BigQuery

Dataflow

Airflow

Oozie

Segment

Job description

HeadsUp AI is seeking a seasoned Data Engineer (senior-level and up) to join a remote-first team delivering a next-generation sales tool for product-led-growth companies. You will build and scale data pipelines, ingest millions of events daily, and create reliable APIs shaping product decisions.

You will work closely with founders to understand buyer personas and roadmap, shaping the data platform and culture on the ground floor of a greenfield opportunity.