Hybrid Software Engineer, Data Infrastructure

Posted 5 hours ago

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About the role

  • Software Engineer focusing on data infrastructure at Persona, building and maintaining data platforms for analytics applications. Collaborating closely with product and data science teams in a hybrid environment.

Responsibilities

  • Build and expand the data platform using cutting edge technologies for the cloud data stack.
  • Design and implement efficient data models to power analytics and core product workflows.
  • Collaborate with stakeholders to translate business and product needs into product features.
  • Identify new opportunities to use data in transformative ways across product, data science, and business teams.

Requirements

  • 3+ years of experience in software engineering, with a focus on data infrastructure or large-scale data systems.
  • Proficiency in Python and familiarity with technologies like Kafka, Snowflake, ClickHouse, Airflow and Apache Flink.
  • Experience designing and implementing scalable ETL pipelines and working with structured and unstructured data.
  • Strong understanding of data modeling, including schema design and performance optimization for analytical and operational use cases.
  • Excellent communication and collaboration skills, with experience working cross-functionally with product, data science, and operational teams.
  • A passion for leveraging data to drive innovation.

Benefits

  • medical
  • dental
  • vision
  • 3% 401(k) contribution
  • unlimited PTO
  • quarterly mental health days
  • family planning benefits
  • professional development stipend
  • wellness benefits

Job title

Software Engineer, Data Infrastructure

Job type

Experience level

Mid levelSenior

Salary

$130,000 - $200,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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