Tyler Technologies - Yarmouth, ME
posted 6 months ago
About the position
At Tyler Technologies, we exist to inspire and empower every public servant to address society's pressing issues. We do that by enabling data-driven leadership through connected data and shared insights. Our data as a service platform and cloud-based solutions support the world's most effective open and internal data sharing programs at every level of government. What we do matters. New York City, Virginia, the Department of Commerce, and 230+ other cities, states, counties and federal agencies use us to connect citizens and their internal teams with information that matters to their day to day life. The Data Engineering position is part of our cross-division Solution Development team, which develops data-driven analytical and transparency solutions. These solutions lower the barriers to insights and provide public servants unprecedented access to data in Tyler source systems that underpin many of the basic functions of governments including public safety, community development, and public administration. We are looking for an experienced Senior Data Engineer. This person will work with internal partners, clients and developers to brainstorm and evaluate technical solutions, product integration opportunities and demonstrations. This role requires creative thinking, a deep curiosity and understanding of data models and usage, as well as empathy for partner/client challenges and pain points. This person needs to work hand-in-hand at a strategic level with their colleagues in Product Development, and other Tyler divisions as well as in other departments, around a specified set of targeted software partnerships, integrations, and solutions we are pursuing and incubating. This is a technical role but also requires a diverse range of consultative and project management skills. The primary focus of this role is to collaborate with cross-divisional partners to design and implement data ingress strategies that support Data & Insights solutions. These solutions in turn enable public sector organizations to share data with their audiences, internal employees and other agencies. The work with partners includes full projects as well as proofs of concept. A proof of concept aligns Data & Insights solutions with a partner's vision, mission or program, which requires technical configuration, data transformation and solution creation.
Responsibilities
- Data warehouse design and management in AWS from multiple source systems
- Lead collaborations with cross-functional teams to gather and understand data requirements, providing technical solutions and support for data modeling, extract, transformation, and loading.
- Creating high level project plans and technical documentation to achieve product outcomes
- Ensure data quality and consistency across all data stores and pipelines with an eye for metadata and data cataloging.
- Design, build, and maintain efficient, reliable, and scalable data models and pipelines.
- Provide mentorship and guidance in the form of technical code reviews for other team members.
- Writing and refactoring existing code for performance and clarity.
- Work with our transformative data solutions that help agencies address mission-critical outcomes.
Requirements
- Relevant work experience in data engineering or related fields.
- Strong familiarity and experience with cloud computing platforms, particularly Amazon Web Services.
- Familiarity with terraform for deploying and maintaining infrastructure.
- Detail oriented and able to define data and metadata frameworks and organizations to support complex integrations.
- Advanced data transformations using data extract, transform and load (ETL) tools in languages such as Scala, Java, or Python.
- Ability to create and optimize advanced SQL queries for data extraction and client-facing Data & Insights solutions.
Nice-to-haves
- An undergraduate degree in a technical, relevant field of work, or a Master's degree.
