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
Qualifications
- Relevant work experience is important. We don't think that assigning an arbitrary number of years is the right approach; if you have been doing this type of work or have experience that is relevant, great!
- We would also be interested if you happen to have an undergraduate degree in a technical, relevant field of work, or even a Master’s degree.
- An advanced degree is NOT required for this role; we just want you to have some relevant experience especially for this senior level position.
- Strong familiarity and experience with cloud computing platforms, particularly Amazon Web Services.
- Experience with developing data lake architecture is important.
- 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 both for data extraction and as the basis for compelling client-facing Data & Insights solutions.
- Familiarity with REST web frameworks.
- Ability to communicate at both a technical and a business level, developing trust and confidence with a wide variety of individuals within a client organization.
- Ability to “think on your feet” and comfortable architecting creative solutions to data sharing problems by adapting and configuring Data & Insights solutions to meet unique client needs.
- Ability to articulately talk through and whiteboard these concepts and approaches with clients.
- Familiarity working with public sector organizations is strongly desired.
- Frontend development experience a plus
- Ability to focus, balance trade-offs, work within constraints and make good decisions, including managing multiple projects simultaneously, is required.
- Comfortable conducting client trainings of data publishing workflows.
- Self-directed, self-motivated and the ability to work independently.
- Required to undergo and satisfactorily pass a fingerprint background check in accordance with CJIS requirements.
