Senior Software Engineer

Atlanta, GA, United States

Experience required for this opportunity includes design and development of data warehouse, big data, and business intelligence solutions, and end-to-end delivery of ML/AI to support predictive automation and AI capabilities

The candidate must possess a strong technical background to ensure that solutions consider reusability, growth, flexibility, scalability, performance, security, as well as data retention requirements; must have a solid data science knowledge and proven experience in ML/AI role; must have experience in leading roles delivering large cross-organizational software development projects; have strong communication skills to work and collaborate with technical and non-technical stakeholders; and have a well-rounded technical background using on-premise and cloud technologies, highly preferrable in Azure

Experience in Agile methodologies is also required

Work Location: Must be able to work from our Atlanta, GA location min 3 days per week

Bachelor’s or Master’s degree in computer science, data science, mathematics, or a related field

5-8 years of experience in Data Engineering/Software Engineering roles in DW/BI solutions with at least 1-3 years in ML/AI

Software Design & Development Principles, Programming Languages, Software Development Lifecycle, and Agile methodologies including Scrum and Kanban (3+ years)

Experience in ML/AI algorithms, frameworks, libraries, and tools (1-3 years)

Experience in REST APIs (3+ years); Phyton (1-3 years); Java (1-3 years); and R (1+ years); JSON (3-5 years); Jupyter (1-3 years)

Experience in DW/BI technologies: Data Modeling, RDBMS, ODS, Start Schema (5+ years); Software/Hardware Architecture (3+ years); ETL technologies (3+ years); real time streaming (1-3 years); advanced SQL (5+ years); DB programming (T-SQL preferrable, PL/SQL) (3+ years)

Big Data processing, including technologies such as Hive, HDFS, preferrable Databricks (1-3 years)

Experience with tools and technologies to deliver DW/BI solutions - preferable Microsoft SQL Server, SSIS, AAS, Databricks, Power BI

Private and public cloud technologies, Azure preferable, including IaaS, PaaS, and SaaS architectures (1-3 years)

Excellent problem-solving, analytical, and critical thinking skills

Excellent communication, presentation, and collaboration skills with the ability to explain concept concepts to technical and non-technical stakeholders

Self-motivated and able to work independently as well as in a team environment

Responsibilities In this role you will work on a cross functional Kanban team focused on developing and testing solutions for user stories from a product backlog

You will work in a collaborative environment to gather and review user stories, provide estimates, and create data architecture and software design specifications with other engineers and solution and data architects to assess and test software interactions

Collaborate with IT and business stakeholders in the work intake process – ideation, gathering of requirements/user stories, solution analysis and design, estimation, and implementation processes for new work into the product backlog

Design, develop, and implement ML/AI models and solutions to solve complex business problems ensuring that algorithms generate accurate recommendations – including statistical analysis, training and monitoring of models, retraining, and optimization for performance and achievement of business goals

Collaborate with cross-functional teams to define ML/AI project requirements and objectives

Develop scalable and maintainable software architectures for ML/AI applications

Provide technical leadership and mentor junior team members in ML/AI development best practices

Identify and evaluate new ML/AI research and technologies to enhance product features and capabilities

Troubleshoot and resolve complex technical issues related to ML/AI systems

Support end to end delivery of system interfaces, data architecture, data pipelines, and business functionality implemented in the DW/BI

Our Senior-Software Engineer earn between $128,400- $192,600

Individual starting salary within this range may depend on geography, experience, expertise, and education/training

Once you are part of our team, you’ll have an amazing compensation and benefits package, including bonuses, medical/dental/vision coverage, matching 401(k), tuition reimbursement, paid time off, discounted wireless and internet plans, and more!

$128,400.00 - $192,600.00

Qualifications Experience required for this opportunity includes design and development of data warehouse, big data, and business intelligence solutions, and end-to-end delivery of ML/AI to support predictive automation and AI capabilities

The candidate must possess a strong technical background to ensure that solutions consider reusability, growth, flexibility, scalability, performance, security, as well as data retention requirements; must have a solid data science knowledge and proven experience in ML/AI role; must have experience in leading roles delivering large cross-organizational software development projects; have strong communication skills to work and collaborate with technical and non-technical stakeholders; and have a well-rounded technical background using on-premise and cloud technologies, highly preferrable in Azure

Experience in Agile methodologies is also required

Work Location: Must be able to work from our Atlanta, GA location min 3 days per week

Bachelor’s or Master’s degree in computer science, data science, mathematics, or a related field

5-8 years of experience in Data Engineering/Software Engineering roles in DW/BI solutions with at least 1-3 years in ML/AI

Software Design & Development Principles, Programming Languages, Software Development Lifecycle, and Agile methodologies including Scrum and Kanban (3+ years)

Experience in ML/AI algorithms, frameworks, libraries, and tools (1-3 years)

Experience in REST APIs (3+ years); Phyton (1-3 years); Java (1-3 years); and R (1+ years); JSON (3-5 years); Jupyter (1-3 years)

Experience in DW/BI technologies: Data Modeling, RDBMS, ODS, Start Schema (5+ years); Software/Hardware Architecture (3+ years); ETL technologies (3+ years); real time streaming (1-3 years); advanced SQL (5+ years); DB programming (T-SQL preferrable, PL/SQL) (3+ years)

Big Data processing, including technologies such as Hive, HDFS, preferrable Databricks (1-3 years)

Experience with tools and technologies to deliver DW/BI solutions - preferable Microsoft SQL Server, SSIS, AAS, Databricks, Power BI

Private and public cloud technologies, Azure preferable, including IaaS, PaaS, and SaaS architectures (1-3 years)

Excellent problem-solving, analytical, and critical thinking skills

Excellent communication, presentation, and collaboration skills with the ability to explain concept concepts to technical and non-technical stakeholders

Self-motivated and able to work independently as well as in a team environment

Responsibilities In this role you will work on a cross functional Kanban team focused on developing and testing solutions for user stories from a product backlog

You will work in a collaborative environment to gather and review user stories, provide estimates, and create data architecture and software design specifications with other engineers and solution and data architects to assess and test software interactions

Collaborate with IT and business stakeholders in the work intake process – ideation, gathering of requirements/user stories, solution analysis and design, estimation, and implementation processes for new work into the product backlog

Design, develop, and implement ML/AI models and solutions to solve complex business problems ensuring that algorithms generate accurate recommendations – including statistical analysis, training and monitoring of models, retraining, and optimization for performance and achievement of business goals

Collaborate with cross-functional teams to define ML/AI project requirements and objectives

Develop scalable and maintainable software architectures for ML/AI applications

Provide technical leadership and mentor junior team members in ML/AI development best practices

Identify and evaluate new ML/AI research and technologies to enhance product features and capabilities

Troubleshoot and resolve complex technical issues related to ML/AI systems

Support end to end delivery of system interfaces, data architecture, data pipelines, and business functionality implemented in the DW/BI

Benefits Our Senior-Software Engineer earn between $128,400- $192,600

Individual starting salary within this range may depend on geography, experience, expertise, and education/training

Once you are part of our team, you’ll have an amazing compensation and benefits package, including bonuses, medical/dental/vision coverage, matching 401(k), tuition reimbursement, paid time off, discounted wireless and internet plans, and more!

$128,400.00 - $192,600.00

Job Description:

Cricket Wireless continues to be the fastest growing company in the prepaid industry. And for five years in a row, has been an AJC Top Workplace recipient for the Atlanta metro area...

Our mission is to provide an easy, high quality and affordable wireless experience, and our purpose is to Inspire smiles, one meaningful connection at a time. We are driven by a purpose to provide value and inspire smiles in the communities we serve.

Role

Cricket Wireless is seeking an experienced Senior Software Engineer with Machine Learning and Artificial Intelligence (ML/AI) skills to join our Data Acquisition & Enablement Services (DAES) organization responsible for our Data Warehouse & Business Intelligence Platform (DW/BI), as well as the Customer Data Platform (CDP) supporting personalized experiences for customers across all channels.

The ideal candidate will be responsible for working with our data engineering team and business stakeholders to design, develop, and implement DW/BI solutions, as well as cutting-edge ML/AI initiatives addressing complex business challenges to achieve business objectives.

We are leading edge in public cloud technologies with a hybrid implementation deploying Microsoft Azure services.

Experience required for this opportunity includes design and development of data warehouse, big data, and business intelligence solutions, and end-to-end delivery of ML/AI to support predictive automation and AI capabilities.

The candidate must possess a strong technical background to ensure that solutions consider reusability, growth, flexibility, scalability, performance, security, as well as data retention requirements; must have a solid data science knowledge and proven experience in ML/AI role; must have experience in leading roles delivering large cross-organizational software development projects; have strong communication skills to work and collaborate with technical and non-technical stakeholders; and have a well-rounded technical background using on-premise and cloud technologies, highly preferrable in Azure.

At Cricket, we love innovation and smart risk taking. Software engineers are encouraged to challenge status quo and bring new ideas for improving DW/BI and ML/AI capabilities for our business stakeholders driving Cricket Wireless data decision driven culture.

Experience in Agile methodologies is also required. In this role you will work on a cross functional Kanban team focused on developing and testing solutions for user stories from a product backlog.

You will work in a collaborative environment to gather and review user stories, provide estimates, and create data architecture and software design specifications with other engineers and solution and data architects to assess and test software interactions.

You should have experience helping product owners identify a vertically sliced story or feature, and experience with tasking stories.

Responsibilities

Collaborate with IT and business stakeholders in the work intake process – ideation, gathering of requirements/user stories, solution analysis and design, estimation, and implementation processes for new work into the product backlog.

Design, develop, and implement ML/AI models and solutions to solve complex business problems ensuring that algorithms generate accurate recommendations – including statistical analysis, training and monitoring of models, retraining, and optimization for performance and achievement of business goals.

Collaborate with cross-functional teams to define ML/AI project requirements and objectives.

Work with data engineering team on identification and preparation of data sets.

Develop scalable and maintainable software architectures for ML/AI applications.

Provide technical leadership and mentor junior team members in ML/AI development best practices.

Identify and evaluate new ML/AI research and technologies to enhance product features and capabilities.

Troubleshoot and resolve complex technical issues related to ML/AI systems.

Support end to end delivery of system interfaces, data architecture, data pipelines, and business functionality implemented in the DW/BI.

Qualifications – External

Work Location: Must be able to work from our Atlanta, GA location min 3 days per week.

Bachelor’s or Master’s degree in computer science, data science, mathematics, or a related field.

5-8 years of experience in Data Engineering/Software Engineering roles in DW/BI solutions with at least 1-3 years in ML/AI.

Software Design & Development Principles, Programming Languages, Software Development Lifecycle, and Agile methodologies including Scrum and Kanban (3+ years).

Experience in ML/AI algorithms, frameworks, libraries, and tools (1-3 years).

Experience in REST APIs (3+ years); Phyton (1-3 years); Java (1-3 years); and R (1+ years); JSON (3-5 years); Jupyter (1-3 years).

Experience in DW/BI technologies: Data Modeling, RDBMS, ODS, Start Schema (5+ years); Software/Hardware Architecture (3+ years); ETL technologies (3+ years); real time streaming (1-3 years); advanced SQL (5+ years); DB programming (T-SQL preferrable, PL/SQL) (3+ years).

Big Data processing, including technologies such as Hive, HDFS, preferrable Databricks (1-3 years).

Experience with tools and technologies to deliver DW/BI solutions - preferable Microsoft SQL Server, SSIS, AAS, Databricks, Power BI.

Private and public cloud technologies, Azure preferable, including IaaS, PaaS, and SaaS architectures (1-3 years).

Excellent problem-solving, analytical, and critical thinking skills

Excellent communication, presentation, and collaboration skills with the ability to explain concept concepts to technical and non-technical stakeholders.

Self-motivated and able to work independently as well as in a team environment.

Our Senior-Software Engineer earn between $128,400- $192,600. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you’ll lead transformation surrounded by trailblazing industry leaders like you. You’ll be empowered to go above and beyond – making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups. And regardless of where you’re at in your career trajectory, you’ll be rewarded by the impact that comes with making a difference in the lives of millions. With AT&T, you’ll be a part of something greater, do incredible things and be rewarded with a chance to change the world. Once you are part of our team, you’ll have an amazing compensation and benefits package, including bonuses, medical/dental/vision coverage, matching 401(k), tuition reimbursement, paid time off, discounted wireless and internet plans, and more!

#LI-Onsite

Weekly Hours:

40

Time Type:

Regular

Location:

Atlanta, Georgia

Salary Range:

$128,400.00 - $192,600.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities Company information

We understand that our customers want an easier, less complicated life.We’re using our network, labs, products, services, and people to create a world where everything works together seamlessly, and life is better as a result. How will we continue to drive for this excellence in innovation?With you.Our people, and their passion to succeed, are at the heart of what we do. Today, we’re poised to connect millions of people with their world, delivering the human benefits of technology in ways that defy the imaginable.What are you dreaming of doing with your career?Find stories about our talent, career advice, opportunities, company news, and innovations here on LinkedIn.To learn more about joining AT&T, visit: http://www.att.jobsWe provide in some of our posts links to articles or posts from third-party websites unaffiliated with AT&T. In doing so, AT&T is not adopting, endorsing or otherwise approving the content of those articles or posts. AT&T is providing this content for your information only.

Information Services, Information Technology, Technology, Telecommunications, Entertainment, Media

Public Company

Company Specialties:

Wireless Services, U-Verse, and Enterprise Applications & Managed Hosting Solutions

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