Data Engineer

Data EngineerThe Data Engineer documents, supports, and automates the cloud data warehouse for Lippert Components. The candidate should have experience with ELT/ETL and dimensional modeling. The candidate must be able to work in a dynamic and rapidly expanding environment.Essential Functions:Create data pipelinesCreate data models using a star or snowflake architecturePerform hands-on coaching to peersExcel in communication as a liaison with vendors and other Data Services personnel to resolve issuesStrong desire to document and automate common tasksAct as support escalationTroubleshoot problems and quickly resolve issuesSupervisory Responsibility:This position has no supervisory responsibility.Physical Demands:While performing the duties of this job, the employee is regularly required to stand, walk, use hands to handle, feel, or reach. This position is not very active when it comes to movement and requires a lot of typing and sitting in a chair.Position Type/Expected Hours of Work:This is a full-time salary position and the expected work hours are 40 hours per week, Monday through Friday. Travel: There is minimal to no travel with this position.Competencies:You're compassionate and trustworthy, and set high standards. You're not afraid to ask questions and you are open to constructive criticism. You're self-driven and take ownership of your work. You're enthusiastic and adapt to change well. Ability to communicate (written and verbal) clearly, concisely and effectively.Requirements:At least 2 years of experience building ELT or ETL pipelines. At least 2 years of experience with SQL. At least 2 years of experience with dimensional modeling. Public cloud experience (AWS, Microsoft Azure). Strong customer-facing written and oral communication skills. Experience troubleshooting and configuring data pipelines. Manages daily requests from business operations. Customer service based - An ability to be flexible and use different approaches in different situations. Excellent communication - Being able to convey information to other employees clearly and simply. Strong technical writing ability. Strong attention to detail. 3+ years of experience in an enterprise IT environment. Multiple office locations - some travel may be required.What'll Make You Special:Experience with cloud data warehouses. Experience with Dynamics365 for Finance and Operations or DynamicsAX. Experience with Kimball or Immon data warehouse architecture. Experience with PowerBI. Experience with Azure DevOps. Experience with Databricks.Work Authorization/Security Clearance: Must be legally authorized to work in the United States. Possession of a valid driver's license.Pay Group : AAP/EEO Statement Lippert provides equal employment opportunity to all team members and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, ancestry, age, genetic information, disability, citizen status, protected veteran status, military service, marital status or any other legally protected category as established by federal, state, or local law. This policy governs all employment decisions, including recruitment, hiring, job assignment, compensation, training, promotion, discipline, transfer, leave-of-absence, access to benefits, layoff, recall, termination and other personnel matters. All employment and personnel-related decisions are based solely upon legitimate, job-related factors, such as skill, ability, past performance, and length of service with Lippert. Lippert's strong commitment to equal employment opportunity requires a commitment by each individual team member. Compliance with the letter and spirit of this policy is required of all team members. Violations of this policy should be immediately reported to your leader or to any member of leadership. Team members who violate this policy will be subject to disciplinary action, up to and including termination of employment. Know Your Rights