Lead Data Engineer (RapidScale)

Raleigh, NC - 301 Hillsborough St Suite 1300

Cox Enterprises

Empower to build. The story of Cox Enterprises is one of hard work, respect for employees, entrepreneurship and making bold decisions.

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Company

Cox Communications, Inc.

Job Family Group

Engineering / Product Development

Job Profile

Lead Data Engineer

Management Level

Manager - Non People Leader

Flexible Work Option

Can work remotely anywhere in the specified country

Travel %

Yes, 15% of the time

Work Shift

Day

Compensation

Compensation includes a base salary of $106,700.00 - $177,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

At RapidScale, exceptional technology is powered by exceptional people. As a growing leader in secure, reliable managed cloud solutions, we help SMBs and enterprises alike simplify IT and unleash innovation. With a broad portfolio spanning AWS, Azure and Google to a full set of Private Cloud and Cybersecurity solutions, RapidScale helps companies turn technology into their biggest competitive advantage.  As part of the Cox family of companies, we offer best-in-class benefits, a commitment to work-life balance, and an award-winning workplace experience. 

We are seeking a talented Lead Data Engineer to join our team and contribute to the development and implementation of robust data solutions. In this role, you will work on modernizing data infrastructure by migrating customer systems from legacy on-premise solutions to cloud-based architectures using GCP, AWS, and Azure. You will collaborate closely with cross-functional teams to design, build, and maintain scalable data pipelines and storage solutions.

As a Lead Data Engineer, you will:

  • Implement data lake, data warehousing, ETL, streaming, and data analytics solutions across GCP, AWS, and Azure platforms.

  • Migrate data and processes from legacy on-premise systems (e.g., SQL Server, relational databases) to cloud-based solutions.

  • Design and develop efficient, scalable data pipelines to ingest, process, and transform data from various sources.

  • Optimize data storage and retrieval systems for performance and cost-efficiency.

  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver appropriate solutions.

  • Implement data quality checks and monitoring systems to ensure data integrity and reliability.

  • Contribute to the development of best practices and standards for data engineering within the organization.

  • Participate in code reviews and knowledge sharing sessions with the team.

  • Implement and maintain CI/CD pipelines for data engineering projects.

  • Use Infrastructure as Code (IaC) practices to manage and version cloud resources.

Qualifications

Minimum Requirements

  • Bachelor’s degree in a related discipline and 6 years’ experience in a related field OR a Master’s degree and 4 years’ experience OR a Ph.D. and 1 year of experience OR 18 years’ experience in a related field.

  • 3 years of hands-on experience with cloud data solutions (GCP, AWS, Azure) designing and implementing solutions in at least one of these platforms.

  • Experience in two programming languages (e.g., Node.js, Go, Python or others) with a working knowledge of additional languages. Experience with transforming legacy code (e.g., Java, .Net) into cloud-native microservices.

  • Experience building and maintaining CI/CD pipelines and utilizing cloud automation tools for efficient software deployment.

  • Experience in Python or SQL programming languages. Experience with transforming legacy code (e.g., Java, .Net) into cloud-native microservices.

  • Experience with Terraform for Infrastructure as Code (IaC).

Preferred Qualifications

  • Experience with machine learning and AI services (e.g. Google Cloud AI Platform, Amazon SageMaker, Azure Machine Learning).

  • Knowledge of data modeling, data warehousing concepts, and dimensional modeling.

  • Professional certifications from GCP, AWS, and/or Azure.

  • Knowledge of containerization technologies (e.g., Docker, Kubernetes).

Benefits

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, parental leave, and COVID-19 vaccination leave.

About Us

Cox Communications is all about creating moments of real human connection; and for employees, that’s true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we’re creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.


 

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Tags: Architecture AWS Azure CI/CD Data Analytics Data pipelines Data quality Data Warehousing Docker Engineering ETL GCP Google Cloud Java Kubernetes Machine Learning Microservices Node.js Pipelines Python RDBMS SageMaker SQL Streaming Terraform

Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Insurance Medical leave Parental leave

Region: North America
Country: United States

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