Lead Data Engineer - Work From Home, US

Key Skills

Java Programming, Analytical and Problem solving, Design, Python Programming, SQL, REST API, Machine learning techniques, Data science techniques, Business Intelligence, Shell Scripting language, Data Engineering, Statistical modeling, Data pipelines, ETL frameworks, Terabyte scale datasets

Job Description

Are you interested in serving as an integral part of the digital analytics and insights team, developing new tools and capabilities that will continue to advance Lumen’s reputation as a technology leader?

In this role, you will be partnering with operations, IT, and data science teams to utilize data and translate them into actionable insights to drive improvements in operational efficiency, customer and employee experience. Furthermore, you will be accountable for building and operationalizing critical components and tools to ensure the data coming in and going out are of the highest data quality and integrity. In the end state, the data solutions built and operated by you would rival the absolute best in the industry in engineering, operations, and usability excellence.

The Main Responsibilities

• Develops and operationalizes data pipelines to make data available for consumption for AI/ML models, reporting, and other solutions. Identifies, designs, and implements the automation of manual processes and other enhancements that optimize data delivery.
• Works with other staff to develop cohesive solutions. Follows agile methodology to develop solutions and deliver iterative value to the business. Records the specifications and processes for the data piping/modeling components built to enable solutions to be effectively operationalized.
• Designs internal process improvements such as automating manual processes using AI powered models.

You are a great fit for this position if you:

• Have strong passion in building reliable, accurate datasets that power end-to-end user scenarios and used in business decisions.
• Highly believe that data is an asset that must be accessible to and applicable by every function in a modern business to guide and assess growth investments.
• Are passionate about Data Engineering and believe that it is one of a kind emerging discipline and career path that you want to grow in.
• Enjoy building and operating data services at terabyte and higher scales to enable data driven organizations.

What We Look For in a Candidate

Qualifications:

• Experience building data models and performing complex queries using SQL
• Experience performance tuning large datasets
• Experience building large data pipelines and/or web services
• Strong programming skills with Python and other scripting languages
• 4+ years of Business Intelligence or software development experience using industry technologies
• 3+ years of experience in building integration with upstream and downstream systems with REST APIs
• Excellent problem solving, critical thinking, and communication skills
• Ability to communicate effectively with technical and business teams, drive issues to closure
• Strong understanding of data engineering and data stewardship roles in an organization
• Strong time management and organization skills. Ability to work on multiple projects concurrently.
• BA/BS in Computer Science, Engineering or related technical field such as Statistics or Data Science

Other Qualifications:

• Strong familiarity with big data and Hadoop ecosystem of tools is highly valuable
• Knowledge of Lumen data, systems and processes including paid media, financial and inventory systems highly desirable
• Experience with ETL and data integration development using multiple tools, including Informatica, Microsoft SSIS or other technologies
• Combined IT and Telecommunications background
• Machine Learning, Data Science, and statistical modeling experience are highly valued