Data Engineer
Role details
Job location
Tech stack
Job description
- Conduct complex data mapping efforts between systems in a clear and well defined manner
- Perform data analysis and develop the data models to support ETL/ELT development
- Complete complex data migrations (ETL/ELT) processes to support development efforts
- Collaborate with Software Architects, Software Developers, and BI Developers to design appropriate solutions for our internal team and external clients.
- Mentor software developers in data architecture and database design best practices
- Perform and assign database development tasks of medium complexity across multiple projects.
- Work directly with third party solutions to design, document, and develop data integrations.
- Create, contribute to, review and collaborate on data and database designs and implementations.
- Work with IT to deploy solutions
- Innovate and contribute to improving development standards, techniques, tools, and processes
- Train and test for industry certifications
- Identify, set, monitor, and achieve individual goals
- Leverage mentorship and peer relationships to increase proficiency in development
- Provide support to team members
- Participate in the development personnel interview process
- Collaborate with project managers, business systems analysts, UX designers, and application developers to deliver high-quality deliverables
- Support production systems as urgent and critical issues arise.
Nonessential functions and responsibilities
- Perform other related duties as assigned
Requirements
- Excellent verbal and written communication skills, * Bachelor's Degree in computer science, Information Technology, or related fields
- 5+ years of experience developing data/database systems and integrating with third party solutions.
- 5+ years of Extract, Transform and Load (ETL/ELT) experience
- 2+ years of experience architecting data/database solutions and designing the integration with third party solutions.
- 3+ years of experience working in a hybrid agile development methodology
Preferred Experience
- Experience with Microsoft's Azure Technologies
- Experience with cloud-hosted data warehousing solutions (Databricks, Snowflake, Microsoft Fabric, or other big data platforms)
- Experience with dbt (data build tool) for data transformation and modeling
- Experience with a variety of databases and ETL/ELT solutions
Benefits & conditions
vision insurance, paid time off, paid holidays, 401(k), retirement plan, JMT offers outstanding opportunities for career and professional growth. We are 100% employee-owned (ESOP) and offer outstanding health care coverage and other benefits, including:
- Affordable Medical, Dental & Vision Insurance
- Company paid Life and Disability Insurance
- Paid Time Off
- Paid Holidays
- Paid Caregiver Leave Program
- 401K Retirement Plan (Traditional and Roth options)
- Employee Stock Ownership Plan (ESOP)
- Career Development Programs
- And more...
- Benefits | JMT
Compensation for this position is $114,400.00 - $124,800.00, commensurate with experience, education and certifications. The provided range is a good faith estimate based on the requirements described within the job description. We notice that we receive a wide variety of applicants and recognize that the person selected may be less experienced or more experienced. If so, the actual salary range may vary from the estimate provided., Work is performed within a general hybrid office environment. Work is generally sedentary in nature, but may require occasional standing and walking. Lighting and temperature are adequate and there are no hazardous or unpleasant conditions caused by noise, dust, etc. within the office environment.