Data Operations Engineer II

🕒 August 6

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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AccuWeather

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1962

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

AccuWeather is a global leader in weather forecasting services, providing highly accurate weather information and forecasts for various locations worldwide. The company offers a range of products and services including digital advertising, APIs, mobile apps, and subscription services like AccuWeather Premium and AccuWeather Professional. It features weather news, radar and maps, and specialized forecasts, such as hurricane tracking and severe weather alerts. Through its innovative RealFeel® and RealFeel Shade™ technologies, AccuWeather delivers personalized weather insights, enhancing safety and convenience for businesses and individuals alike. The company's mission is to deliver superior accuracy in weather reporting and forecasts.

📋 Description

• Build, monitor, and maintain data ingestion processes and systems across platforms, including Databricks, the Data Marketplace, and Ad Platform • Develop, maintain, and optimize Python, PowerShell, Bash, or similar scripts for automated data collection and monitoring • Own the operational state of defined data pipelines, including monitoring, incident response, maintenance, and escalation • Maintain SQL databases for data loading and deployment • Develop and maintain unit test coverage for Data Ops codebases • Administer GoAnywhere and other managed file transfer platforms • Build and manage end-to-end monitoring systems and automated alert mechanisms • Diagnose and resolve incidents, identify root causes, implement fixes, validate recovery, and document resolutions • Build and maintain CI/CD pipelines using GitHub Actions and Azure DevOps • Execute scheduled maintenance, patches, updates, and preventive operational checks • Document scripts, automation, monitoring workflows, data pipelines, and deployment procedures • Improve runbooks based on incidents • Collaborate with cross-functional teams on scripting needs and automation strategy • Plan and prioritize work independently, share knowledge, and provide informal coaching

🎯 Requirements

• BA/BS in Computer Science, Information Technology, or a related field, required • 3+ years of experience in data operations, scripting, and automation • Intermediate proficiency in Python, PowerShell, Bash, or similar scripting languages • Fully competent in Azure, Databricks, Snowflake, and SQL Server • Experience managing relational databases such as SQL • Preferred: proficiency in OOP languages such as C++, Java, or similar • Preferred: experience with DataDog or similar monitoring and performance-tracking tools • Preferred: experience with CI/CD deployment automation tools and processes • Preferred: administration experience with managed file transfer tools such as GoAnywhere • Preferred: experience with cloud platforms such as AWS, Azure, or GCP • Preferred: familiarity with version control systems such as Git • Exceptional analytical and problem-solving skills • Ability to debug systems and trace issues to their source • Excellent communication and collaboration skills • Ability to adapt to changing priorities and manage multiple tasks • Ability to provide clear incident updates on a defined cadence during active incidents

🏖️ Benefits

• Remote work option • Equal employment opportunity • Reasonable accommodations for individuals with disabilities