Data Engineer

i360 is seeking a Data Engineer to join its Data Engineering team. With your technical expertise, you will architect, implement, and improve end to end pipelines, processes, procedures, and automation for all database-centric processes. You will maintain our relational and NoSQL systems for performance and reliability. You are responsible for tuning and configuring our databases and data platforms, as well as building tools and scripts to monitor, troubleshoot and automate our systems. Our Team The Data Engineering team plays a central role in our organization, given our focus on data. We collaborate closely with both our internal departments and external clients. Our primary responsibility involves designing, building, and upkeeping data pipelines and APIs to provide data to other teams, enabling them to create their products on that data. What You Will Do 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. Who You Are (Basic 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. What Will Put You Ahead 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. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter. Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aquí , or tu ). Houston, Texas | Tulsa, Oklahoma | Wichita, Kansas #J-18808-Ljbffr i360, llc