Data & AI Solutions Engineer

Your JobAs a Data & AI Solutions Engineer at Molex, you will be a vital contributor to our Enterprise Data Platform, responsible for designing and implementing data pipelines, optimizing data workflows, and ensuring data reliability and accessibility. Your work will be instrumental in empowering our organization to make data-driven decisions and fueling innovation across the company.Our TeamJoining our Enterprise Data Platform team means becoming a key player in a dynamic and innovative group of professionals dedicated to unlocking the power of data. Here, you''ll find a diverse and collaborative environment where your ideas and expertise will shape the future of our data-driven organization. We pride ourselves on fostering a culture of continuous learning, creativity, and teamwork, and we're looking for individuals who are eager to contribute their skills and passion to our shared mission.What You Will DoCollaborate closely with business partners and data scientists to align data engineering efforts with their specific needs and objectives, ensuring that data solutions contribute effectively to the organization's overall goals.Develop, maintain, and optimize data pipelines using tools such as Snowflake, AWS Glue, and Lambda.Design and implement data modeling and ETL/ELT processes to ensure data quality, consistency, and availability.Monitor and troubleshoot data pipelines, resolving issues to ensure uninterrupted data flow.Optimize and fine-tune data pipelines for performance and efficiency.Manage and maintain data warehouses and ensure data security and compliance with company policies and relevant regulations.Perform data transformations, aggregations, and data cleansing to support analytics and reporting needs.Implement data integration strategies for streaming and batch data sources.Automate and orchestrate data workflows to improve efficiency and reduce manual intervention.Document data engineering processes, pipelines, and architecture for knowledge sharing and compliance.Stay up-to-date with industry best practices, emerging technologies, and trends in data engineering.Who You Are (Basic Qualifications)Bachelor's degree in Computer Science, Information Technology, or a related field.3-5+ proven years of experience as a Data Engineer or similar role, with a strong understanding of data engineering principles and best practices.Proficiency in SQL and data modeling.Experience with data warehouse technologies such as Snowflake.Strong programming skills in languages like Python, Java, or Scala.Familiarity with cloud computing platforms, particularly AWS.Understanding of data integration concepts and tools like AWS Glue and Lambda.Experience with DevOps practices and tools, such as continuous integration (CI) and continuous deployment (CD) pipelines, version control systems (e.g., Git).Experience in using Agile project management and collaboration tools (e.g., Jira, Confluence) to track progress and manage work in an Agile environment.Excellent problem-solving and troubleshooting skills.What Will Put You AheadCertification in data engineering or related AWS certifications.Knowledge of data orchestration and workflow management tools.Experience with data streaming technologies (e.g., Kafka).Knowledge of data governance and compliance best practices.Ability to mentor junior team members and lead data engineering projects.Strong project management and organizational skills.Ability to collaborate closely with data scientists to deploy and operationalize AI empowered tools.For this role, we anticipate paying $120,000 - $150,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.Hiring Philosophy