Data Scientist

Data Scientist (Big Data Engineer)

Austin, TX (Remote until Pandemic) Need Local only 6 months with possible extension

Working as part of the Platform & Infrastructure Data Engineering team to engineer, install, configure, standardize, and automate best in class data services and capabilities in a secure fashion for the organization. The ideal Advanced Data Engineer is a collaborative leader skilled in designing and constructing highly scalable data management systems. You are committed to data automation and integrity, are highly analytical, and can work on multiple projects at once. You will use your skills to engineer, automate, and manage data systems across multiple cloud services platforms and toolsets. Additionally, you will act as a mentor to junior team members and coach them on best practices and engineering standards.

The team culture of working collaboratively, cross-functionally, using new technologies combined with the work/life balance provided by Texas OAG are core reasons people enjoy working as part of the Data Division

Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years Required/Preferred Experience

• 6 Required Experience in large-scale IT Project/Product delivery with at least 2 years of work experience in current data streaming, messaging, management, and database technologies
• 6 Required Ability to establish and always maintain effective and professional working relationships with others in the course and scope of conducting business
• 6 Required Excellent communication, problem-solving, and organizational skills
• 4 Preferred Strong data integrity, analytical, and multitasking skills
• 4 Preferred Graduation from an accredited four-year college or university with major coursework in Computer Science or Engineering
• 2 Preferred Experience with designing and building data platforms and setting up data tools
• 2 Preferred Experience with streaming/messaging platforms (Kafka, MQ, RabbitMQ, Elk, Elasticsearch)
• 2 Preferred Experience in tuning and troubleshooting streaming/messaging platforms
• 2 Preferred Experience creating producer and consumer applications with Kafka
• 2 Preferred Experience coding and scripting (Python, Java, Scala) and design experience
• 2 Preferred Experience with ELT methodologies and tools
• 2 Preferred Hands-on experience with AWS and/or Azure
• 2 Preferred Experience with KStreams and KSQL
• 2 Preferred Experience with designing and automating build and deployment solutions/process for data solutions/tools/platforms
• 1 Preferred Familiarity with data management, visualization, warehouse, and analytics tools/platforms such as Qlick, SAS Viya, Kibana, Snowflake, Qualtrics, and Spirion
• 1 Preferred Basic knowledge of database technologies (PostgreSQL, Vertica, Redshift, etc.)
• Able to work independently