Staff Data Engineer ($400k - 500k salary)

Baton Corporation Ltd

$400K — $500K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of data engineering experience in distributed systems and cloud infrastructure.
  • Proficient in SQL and Python with hands-on skills in Spark, Kafka, and Airflow.
  • Proven track record of designing and maintaining reliable data pipelines for real-time processing.
  • Ability to make architectural decisions while balancing immediate delivery and long-term goals.
  • Strong problem-solving skills in open-ended, ambiguous situations.
  • Experience in mentoring engineers and raising coding standards across teams.

Responsibilities

  • Architect and deploy high-performance data solutions rapidly to support a leading crypto social network.
  • Develop and manage the end-to-end data pipeline encompassing real-time processing, modeling, and analytics.
  • Prototype and iterate on innovative data features in a dynamic work environment.
  • Address technical challenges regarding data consistency and processing efficiency.
  • Collaborate with engineers and product leaders to pioneer advancements in data engineering.
  • Take full ownership from conceptualization to production deployment of data projects.

Benefits

  • In-person working environment fostering teamwork and collaboration.
  • Fast-paced work culture that emphasizes responsibility and ownership.
  • Exposure to high-impact projects with immediate results and direct relevance to the product.
  • Potential for professional growth in a leading market within the crypto and fintech industries.
Full Job Description
What You'll Do

As a Data Engineer, you will play a critical role in building and scaling our real-time data infrastructure at the forefront of crypto and social finance. You'll work on high-throughput data pipelines, analytics systems, and storage solutions in an environment where speed, ownership, and innovation are paramount.
  • Architect, build, and ship high-performance data solutions at speed, contributing directly to the growth of the world's largest crypto social network
  • Work across the data stack, from streaming pipelines, data modelling, analytics databases, and real-time processing systems
  • Rapidly prototype and iterate on new data features, balancing speed with quality in a fast-moving environment
  • Solve complex technical challenges around data consistency, performance, and scale in a space where innovation and efficiency are the upmost priority
  • Collaborate closely with a world-class team of engineers and product leaders to push boundaries and redefine what's possible
  • Take full ownership of your work, from initial concept to production deployment and maintenance


Who You Are
  • You're experienced building and scaling data platforms, with deep expertise in data engineering, distributed systems, and modern cloud infrastructure.
  • You're fluent in SQL and Python, and have hands-on experience with technologies such as Spark, Kafka, Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar large-scale data ecosystems.
  • You have designed and operated reliable batch and real-time data pipelines that process high volumes of data with a strong focus on quality, observability, and performance.
  • You think like an engineer first-you care about building robust, maintainable systems rather than simply moving data from A to B.
  • You have experience modeling complex datasets and enabling analytics, machine learning, or product teams through well-designed data platforms.
  • You're comfortable making architectural decisions, balancing short-term delivery with long-term scalability and technical excellence.
  • You enjoy solving ambiguous, open-ended problems and can independently drive large technical initiatives from design through implementation.
  • You naturally mentor other engineers through technical leadership, thoughtful code reviews, and raising engineering standards across the team.
  • You communicate complex technical concepts clearly and collaborate effectively across engineering, product, and infrastructure teams.
  • You're motivated by ownership, enjoy working in fast-moving environments, and thrive where you can have a direct impact on both product and engineering direction.


Preferred Qualifications
  • Experience with cryptocurrency and blockchain data
  • Strong data visualisation skills (esp. Omni/Looker)
  • Experience working with event tracking data
  • Advanced knowledge of statistical methods and causal inference
  • Experience building and maintaining data pipelines (esp. Dagster, DBT)
  • Familiarity with Machine Learning methods and applications
  • Experience in consumer tech products or fintech


What it's like to work here
  • We work in person
  • Hours can be long and unconventional
  • The pace is intense
  • Expectations are high, and impact is immediate
  • Working at Baton is not for everyone


If you're motivated by responsibility, speed, and building products used by massive audiences, you'll feel at home here.

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