Data Engineer

Koch’s i360 is seeking a Data Engineer to join its Data Engineering team. The role focuses on architecting, implementing, and improving end-to-end data pipelines, database systems, processes, and automation while supporting data platforms, APIs, and enterprise applications.

Responsibilities

• Manage multiple projects simultaneously, balancing priorities and maintaining clear communication with stakeholders and team members
• Design, architect, and build end to end SQL and NoSQL database solutions. This includes determining business requirements, recommending technologies, architecting, developing code, mentoring team members, and overseeing QA and deployment processes
• Load and process disparate data sets using technologies including but not limited to PostgreSQL, Elasticsearch, Snowflake, Spark, Java, and Python
• Work with business users to translate requirements into system flows, data flows, data mappings etc., and develop solutions to complex business problems
• Code applications that adhere to enterprise design patterns
• Resolve technical issues through debugging, research, and investigation

Preferred

• Experience with Cloud system architecture and design, large scale streaming data processing
• Experience with Spring framework, AOP, JPA and REST
• Experience with building RESTful web services
• Experience with libraries like scikit-learn, keras and functional programming concepts
• Cloud Architecture
• System Design
• Large-Scale Streaming Data Processing
• Spring Framework
• Aspect-Oriented Programming
• JPA
• RESTful Web Services
• scikit-learn
• Keras
• Functional Programming

Benefits

• Medical
• Dental
• Vision
• Flexible spending and health savings accounts
• Life insurance
• ADD
• Disability
• Retirement
• Paid vacation/time off
• Educational assistance
• May also include infertility assistance
• May also include paid parental leave
• May also include adoption assistance

Company

• Diversified conglomerate acquiring and investing in businesses worldwide
• Wichita, Kansas, USA
• https://www.kochinc.com/
• Founded in 1940
• 10001+ employees

Qualifications

• BA/BS or Master's degree in Computer Science, Computer Engineering, Information Science or Data Science/Statistics
• At least 3 years of hands-on experience in data engineering, business intelligence, data modeling, building ETL pipelines and multi-dimensional data warehouses
• Experience managing multiple projects simultaneously with competing priorities
• Hands-on experience with and strong understanding of RDBMS concepts and query optimization
• Strong coding experience in developing enterprise applications using Java or Python
• Understanding of DevOps/DataOps and CI/CD toolset such as git, GitLab CI, GitHub Actions
• Experience building, scaling, and maintaining high volume systems
• Experience analyzing large complex data sets to resolve data quality and performance issues
• Experience mentoring a team of data engineers and helping set standards and frameworks
• Experience with Cloud system architecture and design, large scale streaming data processing
• Experience with Spring framework, AOP, JPA and REST
• Experience with building RESTful web services
• Experience with libraries like scikit-learn, keras and functional programming concepts
• At least 3 years of hands-on experience in data engineering, business intelligence, data modeling, building ETL pipelines and multi-dimensional data warehouses.

Required skills

• Data Engineering, SQL, NoSQL, PostgreSQL, Elasticsearch, Snowflake, Apache Spark, Java, Python, ETL Pipelines, Data Modeling, Data Warehousing, RDBMS Query Optimization, Git, GitLab CI, GitHub Actions, Cloud Architecture, Stream Processing, Spring Framework, RESTful Web Services

Preferred skills

• Experience with Spring framework, AOP, JPA and REST, • Experience with building RESTful web services

Experience

• 3+ years