Seattle Tech Jobs and Startup Jobs

The Data Analyst - Customer Solutions acts as a customer experience champion for Qualtrics’ Stats iQ and Text iQ tools. This person will be responsible for helping define, drive, and support key customers’ CX programs via the iQ portion of the Qualtrics platform. This person will be hands-on from an operational point of view, specifically focused on data cleaning, data manipulation, text analytics modeling, statistical modeling, and working with new features in Qualtrics. They’ll also deliver feedback on these tools to the tools’ product managers.

Experience with multiple: AWS, Postgres, Redshift, Airflow, Python, Terraform, Ansible, Network Security Best Practices, Gitlab. Ability to write production-quality code utilizing knowledge of data structures and algorithms with Python or related programming languages. Understanding of network protocols including IP, TCP, UDP, DNS, and HTTP. Knowledge of building scalable and high-performance systems. Understanding of various product-development life cycles. Versatility and willingness to learn new technologies on the job. Bachelor’s degree or equivalent experience in computer science, engineering, and mathematics/statistics or other quantitative fields.

As a data scientist, you will help identify new opportunities and develop high-impact data analytics, predictive models, and statistical tools that will generate practical and actionable inputs for our user community. You will be expected to be both a creative and critical thinker, have strong judgment in prioritization and execution, and strike a balance between moving quickly and delivering high-trust analytics. You not only think and act like a leader but also roll up your sleeves to explore and implement new analytical models.

As a Platform Engineer, you will be responsible for the design, development, testing, and deployment of products that help companies communicate with and understand their customers in deep and personal ways. We service over a million API requests per minute and our SDK is installed on over 1.75 billion devices around the world. We are a small team ~20 engineers and our technology stack is built with Scala, nodejs, and Ruby on Rails, running on Cassandra, MongoDB, ElasticSearch, and Kafka entirely in AWS.

We are looking for a Software Engineer to help our team build and maintain high performance backend services. Our group is responsible for the Ekata Identity Graph – state-of-the-art technology linking businesses back to humanity (people, businesses, locations, phone numbers, email addresses, and URLs). The graph represents 5 billion unique data elements and enormous size of 11TB. Our microservices are the backbone of our products and are developed with high availability and performance in mind. Catering to low latency and high query volume at this scale opens up exciting opportunities.

As the first security engineer at Sift, you will be responsible for analyzing, discovering, and addressing the security of Sift’s services & infrastructure, building security automation, quickly reacting to new threat scenarios, and taking whatever steps necessary to advance Sift’s security posture.

As an engineer on the Data Science Infrastructure team, you will design and build infrastructure and tooling to make it fast, easy, and cost effective to perform machine learning experimentation and data analysis. Ensuring data and batch processing pipeline availability, stability, and access at production scale is critical to our mission.