Data Engineer

Data Engineer – City of Mc Kinney

Join to apply for the Data Engineer role at City of Mc Kinney

Join to apply for the Data Engineer role at City of Mc Kinney

WORKING FOR THE CITY OF MCKINNEY

Working for the City of McKinney is more than a job. It is an opportunity to make a meaningful difference in the lives of others. It is also an opportunity to have a hand in the development of one of the fastest growing communities in the nation. Proudly recognized on the Top Workplaces USA list by USA TODAY, our team is dedicated to making McKinney one of the best places to work, live, and raise a family.

That’s why we exist. Join us and start making a difference today.

Summary

WORKING FOR THE CITY OF MCKINNEY

Working for the City of McKinney is more than a job. It is an opportunity to make a meaningful difference in the lives of others. It is also an opportunity to have a hand in the development of one of the fastest growing communities in the nation. Proudly recognized on the Top Workplaces USA list by USA TODAY, our team is dedicated to making McKinney one of the best places to work, live, and raise a family.

That’s why we exist. Join us and start making a difference today.

OUR CORE VALUES

City of McKinney employees work hard and at a very fast pace. However, we also look after and support one another. All of us are guided by four employee‑inspired values – Respect, Integrity, Service, and Excellence (RISE). We are also supported by servant‑based leaders who foster and support a healthy, family‑oriented culture. All new employees are expected to embrace and live by our core values and commit to helping us sustain our exceptional work environment as a high‑performance organization (HPO).

Summary Of Position

The Data Engineer is responsible for building, optimizing, and maintaining data pipelines and models that support data‑driven decision making and actionable business insights; identifying, collecting, and analyzing data and workflows to create innovative and advanced solutions that can improve operational and service‑level efficiencies, while also creating and implementing special programs and initiatives that further the goals and objectives of the City.

The Data Engineer collaborates with cross‑functional teams, including data architects, analysts, and business stakeholders, to translate business requirements into technical solutions, ensuring data integrity, accessibility, and security.

Essential Functions/Knowledge, Skills, & Abilities

GENERAL EXPECTATIONS FOR ALL EMPLOYEES

• Learn and demonstrate an understanding of how team, department, and City goals are interconnected.
• Contribute to a positive work culture.
• Maintain regular and reliable attendance.
• Ability to assess his/her work performance or the work performance of the team.
• Contribute to the development of others and/or the working unit or overall organization.
• Ability and willingness to work as part of a team, to demonstrate team skills, and to perform a fair share of team responsibilities.
• Ability to continuously learn and develop through a mix of internal and external training opportunities, and if applicable, encourage subordinates to do the same.

Essential Duties And Responsibilities

• Identify, collect, organize, and analyze data and workflows to support advanced solutions that are customer‑focused and lead to improved operational and service‑level efficiencies.
• Collaborate with internal customers to understand data requirements.
• Design and implement scalable and efficient data pipelines from data warehouses or data lakes to the end business user.
• Apply data transformation techniques to cleanse, validate, and enrich incoming data, ensuring its quality, integrity, and consistency.
• Design and construct data warehouse schemas and tables to optimize data storage, retrieval, integration, and analytics performance.
• Develop and maintain data models to support reporting, analytics, and visualization needs.
• Continuously monitor and enhance data pipelines and warehouse performance, identifying and resolving bottlenecks, and optimizing data retrieval and processing times.
• Create and maintain comprehensive documentation for data pipelines, data models, and data…