Intermediate Data Platform Engineer

Data Platform Engineer – IntermediateKey Highlights

• ? Build and expand core data platform components powering analytics, experimentation, and algorithm development
• ? Develop scalable ETL, streaming, and metadata systems using Spark, Kafka, and modern lakehouse technologies

Support high-volume data transformation, federated querying, and performance optimization

Strengthen RBAC, data governance, and secure access patterns for multi-team data environments

Enable experimentation and data development with reliable tooling and automated data workflowsPosition Overview

We are seeking anIntermediate Data Platform Engineerto help build and scale a modern data ecosystem.

In this role, you'll contribute to distributed data systems, ETL / streaming pipelines, metadata platforms, and frameworks that support experimentation across the organization.

You will develop platform features, enhance observability, ensure data reliability, and collaborate with engineering and data science teams to support new initiatives.Key Responsibilities

Data Platform Engineering

Build and maintain scalable data storage, transformation, and processing systems

Support Iceberg-based data lakehouse architecture and metadata catalogs

Develop ETL and streaming pipelines using Spark, Kafka, Parquet, and Iceberg

Build backend services in Python, Go, Scala, or Java to enhance platform capabilities

Contribute to Trino query performance and metadata optimization

Experimentation & Analytics Enablement

Develop tooling that improves experiment design, tracking, and analysis

Collaborate with data science and analytics teams to support experimentation workflows

Automate components of A / B testing and experimentation frameworks

Data Reliability, Security & Governance

Maintain and improve platform-level RBAC and AWS IAM configuration

Use Datadog for logging, alerting, and monitoring platform performance

Support schema evolution, data quality, and reproducibility across pipelines

Infrastructure & Deployment

Deploy and support services using Kubernetes and Helm

Improve automation, performance, and cost efficiency of data workloads

Contribute to capacity planning for data-intensive services

Collaboration & Documentation

Participate in cross-team engineering discussions

Document platform components to support internal stakeholdersQualifications

Degree in Computer Science, Engineering, or related field

3+ yearsin data platform, data engineering, or platform engineering

Production-level coding experience inPython ,Go ,Scala , orJava

Experience supportingIceberg-based data warehouses

Hands-on experience withSpark ,Kafka ,Trino , and distributed systems

Familiarity with RBAC systems, IAM, and data governance principles

Experience with Kubernetes, Helm, and CI / CD workflows

Strong troubleshooting and communication skillsWhy Join Us

Join a team focused on building scalable, modern data infrastructure that powers experimentation and analytics.

You'll gain exposure to leading-edge tools and architectures while contributing to systems used across the organization.