Software/Data Development Engineer
PA - Philadelphia, 1800 Arch St, United States
Comcast
Comcast NBCUniversal creates incredible technology and entertainment that connects millions of people to the moments and experiences that matter most.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.
This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the 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.
Skills
Agile Methodology, Amazon Web Services (AWS), Big Data Technologies, Communication, Software DevelopmentWe 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 benefits summary on our careers site for more details.
Education
Bachelor's DegreeWhile 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.Certifications (if applicable)
Relevant Work Experience
2-5 YearsComcast 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.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Athena AWS Big Data CI/CD Data analysis Databricks Data Mining Data pipelines Docker Engineering Excel Generative AI Java Kinesis KPIs Kubernetes Lambda Machine Learning ML models Pipelines Predictive modeling Python Scala Snowflake Spark Teradata Unstructured data
Perks/benefits: Career development Flex hours
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