Position Details

Salary $140K – $150K USD / year

Type Full-Time

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

This role involves designing and managing automated data pipelines and infrastructure to support Panopto's large-scale data needs. The engineer will focus on reliability, scalability, and data quality across operational and AI data layers.

Key Responsibilities

Engineer data lifecycle
Implement data as code
Build multi-layer reliability frameworks
Optimize for scalability and performance
Develop data observability strategies

Technical Overview

The environment includes AWS cloud services, SQL Server databases, and automation tools for CI/CD and Infrastructure as Code. The role emphasizes data lifecycle management, observability, and performance optimization.

Ideal Candidate

The ideal candidate is a mid-level DataOps engineer with experience in AWS, SQL Server, and infrastructure automation. They should be skilled in building reliable data pipelines, implementing monitoring strategies, and optimizing data workflows for scalability and performance.

Must-Have Skills

AWSAmazon Web ServicesSQL ServerInfrastructure as CodeCI/CDData pipelines

Nice-to-Have Skills

AI data layersML scalabilityData observabilityReliability frameworks

Tools & Platforms

AWSAmazon Web ServicesSQL ServerCI/CD tools

Required Skills

AWSAmazon Web ServicesSQL ServerInfrastructure as CodeCI/CDData pipelinesData lifecycleMonitoringAlertingData quality

Hard Skills

SQLSQL ServerAWSAmazon Web ServicesInfrastructure as CodeIaCCI/CDData pipelinesData lifecycle managementMonitoringAlertingData qualityReliability engineering

Soft Skills

collaborationproblem-solvingcommunicationteamworklifelong learning

Industry & Role

Industry SaaS

Job Function Designing and maintaining scalable, reliable data infrastructure for analytics and AI applications

Role Subtype Data Engineer

Tech Domains Amazon Web Services, SQL Server, Infrastructure as Code, CI/CD

Keywords for Your Resume

DataOpsData EngineerAWSAmazon Web ServicesSQL ServerInfrastructure as CodeCI/CDData pipelinesData lifecycleMonitoringAlertingData qualityReliability engineeringData observabilityML scalability

Deal Breakers

Lack of experience with AWS or SQL Server, No experience with Infrastructure as Code or CI/CD, No background in data pipeline development, Unwillingness to work remotely

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