DescriptionThe data engineer provides technical data support to cross functional teams who are diagnosing, troubleshooting, computer systems & complex software. Responds to situations where first-line product support has failed to isolate or fix problems in malfunctioning equipment or software. Reports design, reliability and maintenance problems or bugs to design engineering/software engineering.
Provides support to customers/users where the product is highly technical or sophisticated in nature. Works with Customers to Extract, Transform & Load data from legacy systems into our software. Develops reporting solutions and dashboards to grant insights into customer data for the business.
Responsibilities- Support the development, product, & implementation teams through the troubleshooting and solutioning of production software issues
- Enter data into trouble ticket system in an accurate and complete manner to document problems including diagnostic results and multiple product correlation as well as escalation and provide feedback for knowledge database
- Perform investigation/documentation/reporting for customer-impacting or recurring issues
- Communicate effectively with Tyler teams and key stakeholders both proactively and reactively
- Research and analyze platform issues working cross-functionally across Tyler teams and customers to identify root cause and corrective actions
- Implement workaround procedures when standard procedures have failed and ensure issues are resolved in a timely fashion
- Understand and respond properly to escalation procedures; Follow through and assist in troubleshooting after escalating
Qualifications- 3-8 years of experience in the field or related area
- Bachelor's degree preferred, or equivalent, in Computer Science, Management Information Systems or other IT specialty
- Experience with Tableau, PowerBI, & Other BI tools.
- Experience with ETL workflows and tools.
- In depth knowledge of SQL, T-SQL, and/or Postgres
- Experience solving complex technical problems with creative solutions
- Experience with AWS cloud tools such as S3, Lambda & Batch
- Excellent interpersonal skills.
- Strong organizational & prioritization skills.
- Effective analytical ability, particularly in a technical, data-oriented environment.
- Excellent written and verbal communication skills.
This position will require you to sit at a desk and routinely use personal computer, keyboard, mouse, etc. for prolonged periods of time. Occasionally, there will be a need to lift items weighing no more than 25 lbs. Ability to adapt schedule to work earlier or later hours during the week, and some evening and weekend work, as needed. Some travel may be required
