Data Engineer

Michaels Stores • Irving, TX

8d

About The Position

Data Engineers develop technologies that change how our customers connect, explore, and interact with information and one another. We are currently looking for Data Engineers who have a passion for designing systems that can collect and integrate data from various sources and create data sets that can be messaged into meaningful insights. In this position you will help drive our data architecture across datasets. You will work with Data Scientists, Software Engineers, and business partners to implement new data pipelines that feed into our systems. The ideal candidate exudes analytical acumen, possesses strong data engineering skills, has a high degree of customer-obsession, and has a track record for delivering results. You will work on projects critical to Michaels needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need Engineers who are versatile, display leadership qualities and are enthusiastic to take on new challenges to help move Michaels Technology forward.

Requirements

• Bachelors Degree or higher in Computer Science, or equivalent experience
• Experience building and maintaining data pipelines (e.g. Airflow, Prefect, Luigi)
• Fluency in SQL and Python
• Experience with project build with CI/CD pipelines through Jenkins
• Experience with Linux, Docker, and Cloud technologies and data systems architecture
• 2-4 years hand on software development experience, preferable in an industry data-oriented role (Data Engineer, Analytics Engineer, etc.)
• Excellent problem solving and debugging skills
• Excellent communication and collaboration skills.

Responsibilities

• Build extremely efficient and reliable data pipelines for training examples generation and real-time online training, etc.
• Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis)
• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
• Enhance applications by identifying opportunities for improvement and making recommendations
• Manage individual project priorities, deadlines and deliverables
• Work with teams to implement data solutions
• Investigate and use new technologies where relevant
• Other duties as assigned

Benefits

• health insurance (medical, dental, and vision)
• paid time off
• tuition assistance
• generous employee discounts

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees