Senior Data Platform Engineer

Machinify-posted 10 days ago
$200,000 - $215,000/Yr
Full-time • Mid Level
Remote • Roseville, CA
1,001-5,000 employees
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We are seeking a skilled Senior Software Engineer with expertise in data platforms. In this role, you will design and build high-performance backend systems that power our AI-driven solutions. You’ll work alongside a collaborative team of passionate engineers, data experts, and innovators to deliver impactful software that drives business success.

  • Design and build scalable and high-performance data software solutions using Golang and Python.
  • Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
  • Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
  • Optimize performance, reliability, and security of our backend infrastructure.
  • Work on data modeling and transformation to support machine learning workflows and AI-powered applications.
  • 5+ years of hands-on experience in backend software development, with expertise in Golang and/or Python.
  • Strong understanding of ETL processes, data pipelines, and working with large datasets.
  • Experience with Kubernetes orchestration, containerization, and cloud-native development.
  • Proficiency in building scalable systems that handle high volumes of data and transactions.
  • Knowledge of cloud platforms (AWS, Azure, or GCP) and their ecosystem tools.
  • Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana).
  • Strong problem-solving skills and a passion for writing clean, maintainable code.
  • Experience with data modeling, transformation, and integration.
  • Golang and Python experience.
  • Experience with orchestration tools (e.g., Apache Airflow, Prefect).
  • Familiarity with Kubernetes and container orchestration (Docker, Helm, etc.).
  • Cloud platform experience (AWS, Azure, or GCP) and related services.
  • Knowledge of monitoring and logging tools for distributed systems (Prometheus, Grafana, ELK stack).
  • Experience with CI/CD pipelines and automated testing.
  • Strong understanding of data modeling, ETL workflows, and data transformation techniques.
  • PTO, Paid Holidays, and Volunteer Days
  • Eligibility for health, vision and dental coverage, 401(k) plan participation with company match, and flexible spending accounts
  • Tuition Reimbursement
  • Eligibility for company-paid benefits including life insurance, short-term disability, and parental leave.
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