Senior Data Engineer (Azure) - REMOTE

Key Skills

Analytical and Problem solving, Apache Hadoop, Azure, Big Data Technology, Business Intelligence, Data science techniques, Effective communication skills, ETL frameworks, IT, Planning and organization, Python Programming, SQL, Statistics

Job Description

Are you interested in serving as an integral part of our digital marketing 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 closely with marketing, operations, and data science teams to utilize terabytes of data and translate them into actionable insights to create a competitive advantage for marketing/sales initiatives to win market share. 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

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 Marketing background
• Machine Learning, Data Science, and statistical modeling experience are highly valued
• Azure experience.

Requisition #: 329671

When applying for a position, you may be subject to a background screen (criminal records check, motor vehicle report, and/or drug screen), depending on the requirements for the position. More information on what’s included in these checks can be found in the Post Offer section of our FAQ page. Job-related concerns noted in the background screen may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

EEO Statement

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

NOTE: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Disclaimer

The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions.

Salary Range

Salary Min :72540Salary Max :161520