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Job Location: Dunwoody, GA
REMOTE: Qualified candidates (outside of hub locations listed below) may be considered for 100% remote work arrangements based on where a candidate currently resides or is currently located.
HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
Responsibilities:
A Day In The Life Of A Data Analytic Engineer
As a data engineer, you will play in integral role supporting the Data Science team by helping build and support solutions to drive results for the enterprise. Data analytic engineers are responsible for developing and maintaining data feature stores, accountable for maintaining and enhancing the compute environment for our Data Science teams and assisting with analytic research requests. Through this role, your work is essential for helping increase the use of analytics for decision making across the company.
What You Can Expect
Being part of our team will help facilitate your professional growth across multiple development areas. First, you will strengthen your communication skills through interactions with key business partners that require you to articulate technical concepts in a non-technical way. Additionally, the variety of projects that you work on will allow you to refine your knowledge for data pipelines, tool development, and data analysis. Finally, to help keep your skills sharp, this role includes an opportunity for practical research and continued professional development with opportunities to learn and leverage cutting edge tools and many different programming languages.
Qualifications:
Preferred Skills and Work Experiences
- Computer Science background (Bachelor’s degree or higher) with a minimum of 2 years of experience in an IT related field
- Ability to support multiple efforts and work closely with roles such as Data Scientist, Machine Learning Engineers, and Data Analysts to support internal data pipelines
- Possess strong business acumen and the technical ability to acquire, transform and interpret complex data in order to answer ad hoc questions often coming from top executives
- Experience with gathering and creating analytic business requirements, researching potential data sources (both internal and external sources), designing, developing, and maintaining data assets
- Experience with data governance policies, including the implementation of data security strategies
- Excellent communication skills and the ability to work with multiple, diverse stakeholders across business areas and leadership levels
- Technical expertise with multiple compute environments, including at least two of the following: Linux, Hadoop, Mainframe, and AWS
- Experience with building and maintaining data pipelines
- Proficiency with technologies such as – CI/CD, Terraform, AWS (Lambda, Athena, Glue, S3, IAM, Redshift), Feature Store
- Familiarity with building SQL and No-SQL queries
- Proficiency with at least one of the following languages: Python, R, or SAS
- Knowledge of version control and DevOps tools, such as GitLab
- Knowledge of work prioritization using the Agile framework
****Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity*****
For Los Angeles candidates: Pursuant to the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with criminal histories.
For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
For Colorado candidates:
Competitive Benefits, including:
401k Plan
Health Insurance
Dental/Vision plans
Life Insurance
Paid Time Off
Annual Merit Increases
Tuition Reimbursement
Health Initiatives
For more details visit our benefits summary page
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