Data Engineer

Posted 6.11.24
PushPress is the ultimate platform for modern gym owners. Our integrated products combine key business functions into one powerful system, creating unparalleled efficiency and leverage for gyms and fitness studios. PushPress Core streamlines day-to-day operations like member check-ins, billing, and scheduling. PushPress Grow, our marketing automation tool, helps gyms attract and retain members through targeted campaigns and analytics. And PushPress Train, our workout tracking app, engages members with a world-class training programs. With PushPress, gyms can focus on what matters most—helping their members become the best versions of themselves. Thousands of gyms and fitness studios rely on PushPress daily to power their businesses. We believe that by empowering neighborhood gyms with the most advanced, technology, we can transform the fitness experience and help create a healthier world.
PushPress is a 100% remote company.
About the Role
PushPress, at its core, is a technology company. We are building an elite engineering team that thrives on innovation, collaboration, and a passion for creating cutting-edge solutions. We are seeking talented full-stack engineers, mobile engineers, site reliability engineers, data scientists, and data engineers who possess a diverse set of technical skills and are excited to be part of our early story. Our ideal candidate embodies a strong ownership mindset, is highly cross-functional, adaptable, and thinks beyond the conventional boundaries of their role.
About PushPress Data
PushPress Data is the heartbeat of our growth strategy, empowering our teams, customers, and partners with unparalleled insights and thought leadership. Our data team plays a pivotal role in driving analytics into our go-to-market and R&D investments, while also embedding powerful reporting into our customer-facing products. This enables gym owners to make decisions that optimize their business performance, from predicting membership churn to identifying upsell opportunities. Our data scientists and data engineers collaborate closely with our executive team and customers to integrate analytics into the core of our strategic decision-making process.
What You’ll Do
  • Design, build, and maintain scalable data pipelines and infrastructure that enable real-time data processing, analytics, and machine learning.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and translate them into efficient data solutions.
  • Develop and optimize ETL processes to ingest, transform, and store data from various sources, ensuring data quality, reliability, and performance.
  • Lay the foundation for our data infrastructure by building core models in our data warehouse, version controlling them using tools like DBT, and ensuring all relevant data is integrated into the warehouse.
  • Clean, process, and link data from multiple sources to create a single, unified customer view that enables advanced analytics and personalized experiences.
  • Continuously monitor and troubleshoot data systems, ensuring high availability and reliability.
What You’ll Need
  • A minimum of 3 years of experience in data engineering, with a strong understanding of data warehousing, data modeling, and ETL processes.
  • Proficiency in SQL and experience with big data processing frameworks such as Apache Spark, Hadoop, or Flink.
  • Experience with cloud platforms such as AWS, GCP, or Azure, and their data services (e.g., Redshift, BigQuery, Databricks).
  • Strong programming skills in languages such as Python, Scala, or Java, with experience in data processing libraries (e.g., Pandas, Dask, Koalas).
  • Familiarity with data orchestration tools like Airflow, Luigi, or Dagster, and experience with version control systems like Git.
  • Excellent problem-solving skills and the ability to design and implement efficient, scalable, and maintainable data solutions.
  • Optional: Experience with streaming data technologies (e.g., Kafka, Kinesis) and knowledge of data visualization tools (e.g., Tableau, Looker).
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (Company Sponsored 401k with Match)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Equity Incentive Plan
  • Company Issued Laptop
  • Work From Home Stipend
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