Senior Data Platform Engineer

What you'll do

• Design and optimize large-scale document data pipelines and backend services.
• Implement data governance, privacy, audit, and compliance controls; lead database migrations and performance improvements.
• Support machine learning and AI teams with scalable training and inference infrastructure, and mentor engineers.

What they ask for

• Seven or more years of software engineering experience, including at least four years focused on data platforms, backend infrastructure, or related systems.
• Experience with distributed systems, data warehousing, or large-scale data technologies such as Hadoop, Spark, or Snowflake.
• Proficiency in at least one of Python, Java, C++, or Go; experience designing scalable APIs; and strong SQL and NoSQL database, data modeling, and query optimization knowledge.
• Experience with AWS, Google Cloud Platform, or Microsoft Azure, infrastructure-as-code practices, and data compliance, privacy regulations, or secure data handling.

Nice to have

• Experience in legal technology, financial services, or another highly regulated industry; experience leading cross-functional initiatives and mentoring engineers.
• Experience with real-time data processing or streaming technologies such as Kafka or Flink, or familiarity with machine learning pipelines and feature engineering platforms.

Pay

$136,000 USD - $253,000 USD (base salary)

Tools

Hadoop, Spark, Snowflake, Python, Java, C++, Go, Kafka

AI focus

Partner with machine learning and AI teams to support model training and inference at scale; familiarity with machine learning pipelines and feature engineering platforms is preferred.