Data Engineer / Integration Specialist

Proficient in Python
Strong SQL skills and experience with databases (Postgres preferred)
Familiarity with Docker, bash and minimal Linux server administration
Experience with cloud services (AWS preferred)
Understanding of Git/GitHub for version control and CI/CD pipelines
Experience or ability to learn Airflow, DBT, Terraform, Kubernetes, Mulesoft
Experience working with spatial datasets a plus
Experience using command line interfaces
Bachelor’s degree in Computer Science, Information Systems, or a related field
Demonstrated experience in data engineering or a similar role, with a focus on data management/integration/ETL/ELT
Proven track record with Python, SQL, and database management
Experience with working with modern data engineering tech stack
Familiarity with development of custom ETL/CI/CD tools and the ability to learn and adapt to new technologies

Working with business partners of varying technical ability to understand how their data is produced, stored, and updated, designing enhancements to optimize enterprise integrations and public data accessibility
Design and develop new and expand and refine existing data pipelines using Apache Airflow, custom Python-based software, and other tools to connect diverse systems of record, centralized databases, and SaaS environments, improving data platform components, data governance, master data management, data standardization, enrichment and quality assurance
Play a key role in enterprise integration and open data initiatives, developing and supporting critical systems like the City’s DataBridge, Databridge-Airflow and AIS
Write clear, descriptive technical documentation for systems/applications, partner with data stewards of various technical levels and communicate technical details to non-technical stakeholders