We are seeking a highly skilled and motivated Data Engineer to join our data management team. The data management team is responsible for delivering clean – defined, reliable, consistent, and actionable – data to internal and external stakeholders. This role assists in developing and improving upon all constituent parts of the data engineering lifecycle using cloud-native technologies. The ideal candidate will possess strong technical skills in data discovery, modeling, and data movement processes/tools, along with a strong understanding of data architecture and design.

Responsibilities:

Develop and implement data dictionaries and metadata catalogs for performance enhancements, data classification, lineage, or other data maturity efforts.
Design and implement dynamic, efficient, and scalable data pipelines to be used in various stages of the data engineering cycle to support the data architecture.
Use version control systems for data pipelines and infrastructure as code (IaC) to manage changes and updates efficiently.
Work with both structured and unstructured data to support multiple analytical needs.
Optimize data retrieval and develop dashboards, reports, and visualizations for business use.
Monitor and optimize the performance of databases and data pipelines to ensure high throughput and low latency, supporting the scaling of data processing systems.
Maintain comprehensive documentation of data landscape including runbooks, best practices, and data maturity stage tracking or goals. Ensure documentation is clear and accessible to both technical and non-technical stakeholders.
Work closely with business and technical resources across the organization to ensure data needs are met and to foster a data-driven culture. Communicate complex data concepts and processes effectively to stakeholders with varying levels of technical expertise.

Qualifications:

Education: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
Desired Experience: 2+ years of experience in a role involving Data Analysis, SQL query writing, Python scripting for data processing, and ETL development.
Desired Technical Skills:
Experience with ETL tools and methodologies.
Understanding of data warehousing concepts and experience with data modeling.
Experience with Data Analysis tools and techniques.
Proficiency in SQL and experience with database management systems.
Python programming skills, especially for data manipulation and visualization
Analytical Skills:
Ability to analyze complex data sets to identify trends, patterns, and insights.
Ability to define and document data in technical and business terms.
Communication Skills: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences.
Problem-Solving: Strong problem-solving skills and the ability to think critically to overcome challenges in data management and processing.

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