Senior Data Engineer

Join us as a Senior Data Engineer.  This will be a US Remote position.

What you will do

At Boomi, our vision is to harness the power of metadata by capturing the relationships and behaviors of applications and their interactions to re-imagine and reinvent the customer experience. As a Data Engineer, you will be expected to understand and investigate state-of-the-art techniques for handling large-scale data. You will design, develop, deploy and maintain data ingestion and transformation pipelines. You will develop tools for data scientists and assist with the development of solutions for business problems and product enhancements. You will have an opportunity to work with experienced engineers, scientists, and experts on challenging problems. Our ideal candidate should demonstrate how they have applied analytic disciplines in addition to having a development background. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, with a proven ability to drive business results with data-based insight. A good level of data modeling understanding is expected. Knowledge about privacy, data masking is a plus.

Team Environment:

Our team is collaborative, enjoys working with each other, and we are eager to help each other succeed. We are self-starters with technical curiosity and have a willingness to learn. We are open to sharing new ideas and improvements. We work on cutting-edge technologies to provide the best experience for the customer. We take pride in our work. If this sounds like you, then you may be a good candidate for our team!

You will

• Design, develop, and maintain ingestion mechanisms and governance for data lakes
• Manage data repositories for data warehousing, data lakes, data marts, OLAP cubes, etc
• Manage cloud-based data architecture services and frameworks, preferably on AWS and/or Snowflake
• Research and stay up-to-date on the latest technology developments through continuous learning. Be solution-based and a champion for promising new methods.
• Collaborate and strategize on opportunities, cross-training, and knowledge transfer.
• Strong knowledge of Machine learning fundamentals, data mining, and statistical predictive modeling. Demonstrate your extensive experience applying these methods to real-world challenges
• Should communicate effectively with Data Scientists, AI/ML engineers, quality engineers, and management
• Strong problem-solving skills with an emphasis on product development.
• Experience in handling large scale data

What you’ll need to succeed in this role

• Bachelor's degree, preferably in Analytics, Computer Science, Statistics, or a related major with 5+ years of relevant subject area experience or 3+ years of experience with Masters degree
• Experience working with and creating data architectures.
• Vast knowledge of Machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python or Scala), in addition to open-source Machine learning and analytics packages to generate deliverable modules and prototype demonstrations of your work.
• Previous experience with Big data technologies, ETL, ELT, statistics and causal inference, Deep Learning, modeling, and simulation.
• Strong skills in Python, SQL
• Hands on experience using various AWS services and technologies
• Ability and inclination to work in multi-disciplinary environments, and a passion for ideas realized in practice.
• Strong analytical, written, and verbal communication skills.

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