Data Engineer
Pay Rate: $70.00/hr to $80.00/hr on W2
Location: 100% Remote
Only USC and Permanent Resident (Visa Candidates not allowed)
We want people with an interest in analytics and Machine Learning implementation. We do a lot of work with Data Science and Machine Learning teams.
Daily 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
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.
Must Have Skills / Requirements
Strong Python and SQL knowledge
• 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
Strong work ethic, collaboration, and communication skills
• 4+ Years of experience with written and verbal communication with stakeholders in past roles.
Some familiarity with cloud architecture
• 2+ years of experience within AWS, Azure, or Google cloud environments.
Skills / Requirements
- Experience in cloud computing and architecture
- Competency in API creation, and Machine Learning model deployment
- Eagerness to learn both the technology and business of Media
- DataBricks, SnowFlake, or AirFlow experience.
- Pizzazz! Unique and exciting education, career, and life experience to expand the intellectual and cultural variety of our team
- Aptitude and desire to work with and mentor junior tech talent
- Experience building effective, efficient solutions in AWS, using Terraform and/or CloudFormation to build infrastructure as code
- Education, training, and certifications in engineering, computer science, math, statistics, analytics, or cloud computing
Soft Skills
- Strong work ethic, collaboration, and communication skills
Pay Rate: $70.00/hr to $80.00/hr on W2
Location: 100% Remote
Only USC and Permanent Resident (Visa Candidates not allowed)
We want people with an interest in analytics and Machine Learning implementation. We do a lot of work with Data Science and Machine Learning teams.
Daily 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
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.
Must Have Skills / Requirements
Strong Python and SQL knowledge
• 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
Strong work ethic, collaboration, and communication skills
• 4+ Years of experience with written and verbal communication with stakeholders in past roles.
Some familiarity with cloud architecture
• 2+ years of experience within AWS, Azure, or Google cloud environments.
Skills / Requirements
- Experience in cloud computing and architecture
- Competency in API creation, and Machine Learning model deployment
- Eagerness to learn both the technology and business of Media
- DataBricks, SnowFlake, or AirFlow experience.
- Pizzazz! Unique and exciting education, career, and life experience to expand the intellectual and cultural variety of our team
- Aptitude and desire to work with and mentor junior tech talent
- Experience building effective, efficient solutions in AWS, using Terraform and/or CloudFormation to build infrastructure as code
- Education, training, and certifications in engineering, computer science, math, statistics, analytics, or cloud computing
Soft Skills
- Strong work ethic, collaboration, and communication skills
