Sr. Data Engineer16157-1

Genuent; Atlanta (GA); Remote; USD 80,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Engineer, where you'll play a pivotal role in building innovative applications that support high-revenue stakeholders. This position offers the chance to work with cutting-edge technology in a collaborative environment, focusing on big data and machine learning. You'll engage with talented professionals, providing design and technical leadership while developing cloud-based solutions. If you're passionate about data architecture and eager to make a significant impact, this opportunity is perfect for you. Embrace the challenge and contribute to exciting projects that shape the future of the industry.

Benefits

Comprehensive medical benefits

Competitive pay

401(k) retirement plan

Flexible work hours

Professional development opportunities

Qualifications

• 5+ years of hands-on experience as a Data Engineer or similar role.
• Expert-level competency in Big Data manipulation and transformation.
• 2+ years experience in AWS, Azure, or Google Cloud environments.

Responsibilities

• Design and build cloud-based data pipelines and analytics solutions.
• Engineer data transformation for analytics and machine learning.
• Collaborate with stakeholders to understand business needs.

Skills

Python

SQL

Big Data manipulation

Collaboration skills

Communication skills

Education

Bachelor's degree in Engineering, Computer Science, or related field

Certifications in cloud computing

Tools

AWS

Azure

Google Cloud

DataBricks

SnowFlake

AirFlow

Terraform

CloudFormation

Job description

Title: Data Engineer
Industry: Entertainment
Location: Remote, United States
Duration:6+ months
Rate Range: $70-$80.40 /hr
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Who We Are Looking For:

You will be a member of the C360 Tooling team, based in Atlanta, and responsible for building mission-critical applications supporting Ad Sales, Promotional Marketing, and other high-revenue, high-visibility stakeholders worldwide. Our projects include advertising optimization and audience segmentation tools that use Big Data and Machine Learning. We are growing our very adaptive team that creates high quality products.

You must be a hands-on Senior Data Engineer with the knowledge, motivation, and energy to provide design and technical leadership to developers, data providers, and data consumers, and directly contribute to the making of applications, data pipelines, and data service solutions. You'll work with some of the best architects, Data Scientists, Machine Learning engineers, developers, product managers, and senior management in the industry to build cloud-based, data-rich products using an Agile process and tools.

Job Responsibilities :

• Specify, design, and build cloud-based data pipeline, transformation, warehousing, BI, analytics, and decision-support solutions and components
• Engineer and take ownership of complex data transformation, cleansing, imputation, and other preparation for downstream analytics, Machine Learning, and visualization use cases
• Engage closely with business stakeholders to deeply understand business problems and tease out potential solutions to meet business needs
• Collaborate with Data Science and development teams to provide data architecture guidance and contribute to construction of data- and science-rich solutions

Must Have Skills :

1. Strong Python and SQL knowledge
   
   1. 5+ years' hands-on experience as a data engineer, data/software architect, or advanced BI analyst; Expert-level competency in Big Data manipulation and transformation, both within and outside of a database
2. Strong work ethic, collaboration, and communication skills
   
   1. 4+ Years of experience with written and verbal communication with stakeholders in past roles.
3. Some familiarity with cloud architecture
   
   1. 2+ years of experience within AWS, Azure, or Google cloud environments.

Technology requirements:

• Expert-level competency in Big Data manipulation and transformation, both within and outside of a database
• 2+ years of experience within AWS, Azure, or Google cloud environments.

Nice to Have Skills:

1. Experience in cloud computing and architecture
2. Competency in API creation, and Machine Learning model deployment
3. Eagerness to learn both the technology and business of our company
4. DataBricks, SnowFlake, or AirFlow experience.
5. Pizzazz! Unique and exciting education, career, and life experience to expand the intellectual and cultural variety of our team
6. Aptitude and desire to work with and mentor junior tech talent
7. Experience building effective, efficient solutions in AWS, using Terraform and/or CloudFormation to build infrastructure as code
8. Education, training, and certifications in engineering, computer science, math, statistics, analytics, or cloud computing

Soft Skills

1. Strong work ethic, collaboration, and communication skills

Our benefits package includes:

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• ...and much more!

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.