- Professional
- Optionales Büro in St. Louis
About Us:
Based in St. Louis, KNOWiNK was founded by Scott Leiendecker, a nationally respected election expert. KNOWiNK is a family-owned election security and technology company built exclusively in America and now has more than 150 employees. KNOWiNK has become the largest and most trusted electronic poll book solution in America. The KNOWiNK team includes former election administrators, officials, directors, and poll workers with extensive election experience. These former election officials understand the critical responsibilities and expectations jurisdictions face during elections.
The Opportunity:
As a Data Engineer at KNOWiNK, you will play a critical role in shaping our data architecture and analytics capabilities. You will collaborate with cross-functional teams to create robust data pipelines and ensure the seamless integration of data sources, thereby empowering our organization to make informed decisions that drive student success.
Job Responsibilities:
- Design, implement, and maintain scalable data pipelines to support data processing and analytics.
- Collaborate with data scientists and analysts to understand data requirements and optimize data models.
- Monitor and troubleshoot data workflows, ensuring data quality and reliability.
- Utilize ETL tools to extract, transform, and load data from various sources.
- Document data processes and maintain technical documentation for reference and compliance.
Desired Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3-5 years of experience in data engineering or a related field.
- Proficiency in SQL and experience with database systems (e.g., PostgreSQL, MySQL).
- Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Talend).
- Strong programming skills in Python or Java.
Nice-to-Haves:
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure).
- Experience with big data technologies (e.g., Hadoop, Spark).
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Understanding of machine learning concepts and frameworks.
- Experience working in an Agile development environment.
