Lead Data Engineer at Sprintfwd

S
Sprintfwd

Lead Data Engineer

Remote

Full Time

#Engineering

#Data Engineering

#Big Data

#SQL

#Apache Spark

#Apache Kafka

#AWS Glue

#Azure Data Factory

#Google Cloud Dataflow

#Python

#Data Modeling

#Data Warehousing

#Agile Methodologies

Sprintfwd is looking for a Lead Data Engineer

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At Comma8, we solve complex challenges for the biggest names in the fit-tech industry. We pride ourselves on helping these brands connect with their customers through high-quality digital fitness experiences. Our team is made up of people who love tackling new problems, growing personally, and maintaining a healthy work-life balance. We operate as a Results-Only Workplace Environment, meaning we trust you to manage your time and output effectively while making a real impact on a thriving global user base.

Role at a glance

We are looking for a Lead Data Engineer to join our team on a full-time, remote basis. This is a senior-level position ideal for someone with significant experience in building robust data architectures. While we have a preference for candidates located in Southern California or the Pacific time zone, we welcome applications from across the United States.

Your impact

  • Take the lead on designing and expanding our product and data warehouse architecture to support advanced client analytics.
  • Build and maintain scalable ETL pipelines within Big Data environments, utilizing cloud, on-premise, and hybrid infrastructures.
  • Mentor your teammates by providing technical guidance on SQL performance, data visualization, and complex data manipulation strategies.

What you'll need

  • Three to five years of professional experience developing large-scale data pipelines.
  • Advanced SQL skills and a deep understanding of data modeling and warehousing best practices.
  • Hands-on expertise with data integration tools like Apache Spark and Apache Kafka.
  • Proficiency in Python and experience working with cloud-based services such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
  • Experience with at least one major cloud database technology like Snowflake, Redshift, or BigQuery.
  • A collaborative mindset with familiarity in Agile and Scrum methodologies.
  • Strong communication skills and the ability to document your work clearly for data governance.
  • Fluency in English.

Perks and compensation

  • Flexible hours and a results-oriented culture that supports unlimited vacation, sick, and mental-health days.
  • Comprehensive health, dental, vision, and life insurance coverage.
  • 401k retirement plan.
  • Professional development support, including tuition reimbursement and conference attendance.
  • Wellness benefits such as group fitness classes, free training, and product discounts.
  • The opportunity to work remotely with periodic team retreats.
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