About the job:

As a Staff Data Engineer at Parkmobile, you will be a technical leader responsible for the development and delivery of our most important asset - our data. You will use your experience and expertise along with the rest of the team in growing our data vision and strategy. Your work will focus on high-priority projects that deliver significant impact, sharing your knowledge and experience with other engineers to elevate your skills as a mentor and theirs as technicians, and collaborate with leadership and stakeholders to create a fully informed audience of technical and logistic challenges.

**Responsibilities:**

Lead and own the technical direction for your team’s work, setting the strategic vision for our data infrastructure and ensuring alignment with organizational goals.

Play an active role in defining the product and platform direction, influencing decisions that impact the broader organization.

Navigate ambiguous and complex technical challenges independently, requiring minimal external assistance.

Understand the complete spectrum of end-user needs and collaborate with cross-functional teams to deliver impactful solutions.

Focus on high-priority projects that drive significant value for our users and stakeholders.

Collaborate and share within your team, helping them achieve their objectives and elevate their technical skills.

Advocate for and drive technical changes and best practices within the team, raising the engineering bar and fostering a culture of continuous improvement.

Act as a cultural carrier for the engineering team, promoting a high standard of excellence and a commitment to better engineering practices.

Ensure that the projects you work on have a clear end-user impact and are aligned with strategic goals, and be accountable for delivering meaningful outcomes.

**Requirements:**

Strong hands-on technical skills, including extensive expertise in data engineering, with significant experience in building and managing big data systems, pipelines, and reporting solutions.

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others.

Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP.

Strong in Python and/or another data-centric language.

Thorough knowledge of data modeling, database design, data architecture principles, and data operations.

**About You:**

You are a visionary leader capable of guiding the team through complex projects and inspiring innovation and excellence. You are collaborative, reliable, and a cultural contributor who fosters an inclusive and diverse work culture, aligning with the company's values by helping to cultivate a growth mindset through constructive feedback.