Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Exciting opportunity to be part of the Enterprise Experience Technology organization! The Workforce AI, Data, and Integration team is seeking a highly skilled and motivated Mid-Level Full Stack/Data Eng Developer to join our Data team. You'll have an opportunity to join a dynamic team delivering data-driven solutions across much of the Human Resources organization and Generative AI solutions. Our primary focus is ingesting data into a Data Lake where it can be managed, visualized, and reported throughout its life cycle. In this role, you will be responsible for designing, developing, and maintaining data solutions. As part of this team, you will collaborate with cross-functional teams to understand business requirements and translate them into efficient and scalable solutions. The ideal candidate should have a background in software development, along with experience in cloud technologies. We are looking for an individual who... * Has passion - You love to help build compelling customer-first solutions that both demonstrate groundbreaking tech and support our business partners. * Communicates effectively - You excel at sharing ideas with other team members and partners, and providing insights in a clear, effective way. * Executes - You action-oriented and focused to 'get the job done'. * Has courage - You are comfortable openly sharing your perspective and proposing new ideas and processes. * Learns - You are naturally curious and committed to continuous personal and professional development. * Can have fun - You're charismatic and can talk to engineers, architects, and business team members alike.

Job Description

Core Responsibilities:

• Deliver data-driven solutions for businesses, complementing existing business teams with additional resources, perspectives, ideas and solutions.
• Collaborates with partners across enterprise and businesses to identify product and technical requirements, identify and deliver integration needs.
• Use data engineering skills and analytical rigor to analyze data and extract useful insights using techniques such as data analysis, data mining, optimization tools, and machine learning.
• Promote a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow.
• Perform ad-hoc analyses for partners using various datasets, including: KPIs deep dives, predictive modeling, machine learning models, etc.
• Process structured and unstructured data into efficient data models suitable for analysis and reporting and sophisticated analytics environments and build high-volume and near-real-time automation processes for data delivery.
• Construct and rebuild / improve software and web applications. Assists with the software update process for existing applications and rollouts of software releases.
• Lead projects from planning stages through execution and delivery, collaborating with business units, agencies, and peers to ensure alignment with business needs.
• Communicate across the enterprise with various stakeholders and teammates on ongoing workstreams and projects
• Manage and prioritize incoming requests from various enterprise partners with existing and overlapping projects.

Qualifications:

• 2 - 4 years' experience with a programming language such as Python, Scala, Java and the experience writing reusable and efficient code to automate analyses and data processes.
• Experience with processing large amounts of structured and unstructured data in a cluster-computing environment or similar experience
• Experience formulating opinions on constructing data processing systems and good knowledge of the principles of systems at scale using big data technologies, like Spark, and Databricks, Airflow, Docker, Kubernetes.
• Experience with AWS and other cloud technologies including AWS services, such as EMR, Athena, Glue, S3, Kinesis, Lambda, and Sage Maker is a plus
• Experience building and maintaining production data pipelines
• Experience with software development and CI/CD automation a strong plus
• Experience in other Data Lake platforms like Teradata and SnowFlake is a strong plus.
• Experience in defining and implementing Generative AI use cases is a strong plus.
• Strong curiosity, leadership and eye for business - possess strong interpersonal skills with the ability to empower, collaborate and influence
• Ability to deliver on multiple projects and meet tight deadlines
• Flexible and adaptable, hard-working, confident and resourceful.

Thispositionis ineligible for visa sponsorship. To beconsidered for thisrole, you must belegally authorized to work in theUnited States andnot requiresponsorship for employment now or inthe future.

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Skills:

Amazon Web Services (AWS); Big Data Technologies; Software Development; Communication; Agile Methodology

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years

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