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Data Platform Engineer

2 hours, 41 minutes ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Ansible Apache Airflow Apache Spark Docker Encryption Go gRPC Helm InfluxDB Kafka Kubernetes Machine Learning PostgreSQL Python REST API Terraform TimescaleDB
Apply Now
Apptronik

Apptronik

Apptronik develops versatile humanoid robots to tackle tasks humans prefer not to do, aiming to reshape existence and enhance universal quality of life.

Aerospace & Defense
51-250
Founded 2015
$23M raised
View All Jobs 47

Description

  • Design and maintain backend data services and pipelines for telemetry, sensor, and training data ingestion, processing, and serving.
  • Build batch and streaming data workflows that integrate on-robot data sources, cloud infrastructure, and enterprise systems.
  • Develop internal APIs and platform tooling that enable machine learning, robotics, and software teams to access trusted data securely and efficiently.
  • Establish data quality, lineage, and governance practices to improve confidence in datasets used for training, analytics, and operational decisions.
  • Monitor and optimize storage systems, database performance, and resource utilization to meet scalability, throughput, and latency needs.
  • Collaborate with data scientists, machine learning engineers, robotics engineers, SRE, and security teams to deliver production-ready infrastructure.
  • Support secure deployment patterns including encryption, access controls, and reliable operation across cloud and hybrid environments.
  • Stay current on data engineering practices, distributed systems design, and emerging technologies relevant to robotics and machine learning platforms.

Requirements

  • Strong proficiency in Python; Go experience for backend service implementation is preferred.
  • Experience with real-time and batch pipeline frameworks such as Kafka, Spark, Airflow, or comparable technologies.
  • Strong command of relational databases such as PostgreSQL and familiarity with NoSQL stores; experience with time-series data is a plus.
  • Proficiency with cloud platforms and hands-on experience with infrastructure tooling such as Terraform, Helm, or Ansible.
  • Experience with Kubernetes and Docker for deploying and scaling backend and data services.
  • Familiarity with encryption, RBAC, and secure service-to-service or user-to-service data access patterns.
  • Experience building observability dashboards and alerting for data pipelines and platform services.
  • Experience building REST APIs or gRPC services for data access, integration, and internal platform use.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Minimum of 3 years of professional, full-time experience in data engineering, backend engineering, or a closely related discipline.
  • Experience building data pipelines or platform infrastructure used to support machine learning, analytics, or AI workflows.
  • Preferred: Experience in robotics, autonomous systems, data platforms, or machine learning infrastructure.
  • Preferred: Familiarity with time-series data stores such as InfluxDB or TimescaleDB for telemetry-heavy workloads.
  • Preferred: Experience with data catalog, lineage, or governance tooling.
  • Preferred: Knowledge of streaming architectures and event-driven systems in production environments.

Interested in this position?

Apply directly on the company website

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