Job Description
Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe's Customer Experience Orchestration enterprise customers.
Customer facing Engineers who enjoy tackling complex technical challenges, have a passion for delighting customers and who are self-motivated to push themselves in a team oriented culture will thrive in our environment
What you'll do
• Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions & build required technology stack
• Collaborate with enterprise customer's engineering team to identify data sources, profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating customer data sources and third party data sources with Adobe solutions
• Develop new features and improve existing data integrations with customer data ecosystem
• Encourage team to think out-of-the-box and overcome engineering obstacles while incorporating new innovative design principles.
• Collaborate with a Project Manager to bill and forecast time for customer solutions
Requirements:
• Experience as an enterprise Data Engineer from a consulting background
• AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner
• 5+ years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS
• 7+ years experience in Python programming language preferably using PySpark
• Software development experience working with Apache Airflow, MongoDB, MySQL
• Strong capacity to manage numerous projects are a must
• Experience using Docker or Kubernetes is a plus
• BS/MS degree in Computer Science or equivalent industry experience
• Ability to identify and resolve problems associated with production grade large scale data processing workflows
• Excellent communication skills (we're a geographically distributed team)
• Experience creating and maintaining unit tests and continuous integration.
• Passion for creating Intelligent data pipelines that customers love to use.
Special Consideration given for
• Experience & knowledge with Web Analytics or Digital Marketing
• Experience & knowledge with Customer Data Platform (CDP) or Data Management Platform (DMP)
• Experience & knowledge with Adobe Experience Cloud solutions
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $139,000 -- $257,550 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $177,900 - $257,550In New York, the pay range for this position is $177,900 - $257,550In Illinois, the pay range for this position is $155,700 - $225,450In Washington, the pay range for this position is $161,700 - $234,150
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.