Staff Data Platform Engineer

OXIO

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

OXIO is the world’s first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs.

Responsibilities

  • Architect, build, and scale a unified data platform integrating internal and external sources into data lakes and warehouses
  • Design and implement streaming and batch data pipelines using tools like Spark, Airflow, and DBT
  • Lead infrastructure provisioning using Terraform and Kubernetes
  • Evaluate and drive the migration to a North Star data architecture
  • Collaborate with cross-functional teams to define logging standards, data contracts, and consumption patterns
  • Drive best practices in data governance, privacy compliance (GDPR, CCPA), and metadata management
  • Build APIs and data services to support real-time activation and client-facing data sharing
  • Mentor junior engineers and contribute to hiring and team growth

Requirements

  • 15+ years of experience in software engineering with a focus on data systems
  • 10+ years of experience building data solutions using data lakehouse architectures
  • 10+ years of hands-on programming experience with Scala, Go, Python, and SQL
  • 5+ years of experience building scalable data solutions using Python, Spark, and Terraform
  • Deep expertise in cloud-native data stacks (AWS, Databricks, Snowflake, BigQuery, or Synapse)
  • Strong understanding of microservices, event-driven systems (Kafka), and Kubernetes
  • Experience with orchestration tools like Airflow or Prefect and transformation tools like DBT
  • Proficient in building and scaling APIs (REST/gRPC)
  • Experience applying AI/ML and LLMs to data products

Benefits

  • Competitive salary and stock option incentive program
  • Company paid healthcare
  • Flexible work arrangements
  • Company sponsored team-lunches and company retreats

Skills & tools

PythonSparkTerraformKubernetesAWSKafka

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 0115+ years software engineering experience
  2. 0210+ years data lakehouse architecture
  3. 03Proficiency in Scala, Go, Python, and SQL
  4. 04Experience with Spark, Terraform, and Kubernetes
  5. 05Expertise in AWS or Databricks
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