Data Operations Engineer II

Yesterday

🇺🇸 United States – Remote

🔔 Pennsylvania – Remote

Although this job is listed in Pennsylvania, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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AccuWeather

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1962

📱 Media

🏢 Enterprise

📡 Telecommunications

Description

• To support AccuWeather’s continued focus on innovation and generating superior weather products, we are seeking an experienced and detail-oriented individual to join our team as a Data Operations Engineer II with a specialization in scripting and deployment automation. • This mid-level position is ideal for someone with a solid background in leveraging scripting languages and automation tools to optimize data processes. • As a Data Operations Engineer II, you will play a crucial role in enhancing the efficiency and reliability of our data operations through advanced scripting and automation techniques.

Requirements

• Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field. • Experience: • Minimum of 3-5 years of professional experience in data operations, scripting, and automation. • Technical Skills: • Advanced proficiency in scripting languages such as Python, PowerShell, or similar. • Proficiency in Object-Oriented Programming (OOP) languages such as C++, Java, or similar • In-depth understanding of data processing concepts and data integration tools. • Experience managing relational databases such as SQL. • Experience working with cloud platforms (e.g., AWS, Azure, GCP). • Analytical Skills: Exceptional analytical and problem-solving skills with meticulous attention to detail. • Communication Skills: Excellent communication skills with the ability to collaborate effectively within a team environment. • Adaptability: Ability to adapt to changing priorities and manage multiple tasks simultaneously. • Initiative: Proactive mindset with a strong willingness to learn and explore new technologies. • Problem Solving: Demonstrated ability to debug systems, tracing issues back to their source. • Preferred Qualifications: • Experience with DataDog for monitoring and performance tracking. • Familiarity with Databricks for data engineering and analytics. • Experience of version control systems (e.g., Git). • Demonstrated experience related to scripting and automation in a data context. • Experience working with deployment automation (CI/CD) tools and processes.