Data Engineer

1 week ago

Lafayette, Louisiana, United States CDC Foundation Full time
Job Title: Data Engineer

The CDC Foundation is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a critical role in designing, building, and maintaining data infrastructure for a public health organization.

About the Role

This is a grant-funded, limited-term opportunity to work with the Louisiana Department of Health, Office of Public Health. The successful candidate will be responsible for designing, developing, and maintaining robust Extract, Transform, and Load (ETL) pipelines and data architectures using Python, Apache Airflow, and other cutting-edge data engineering technologies.

Responsibilities
  • Create and manage systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage.
  • Collect data from various sources, transforming and cleaning it to ensure accuracy and consistency. Load data into storage systems or data warehouses.
  • Optimize data pipelines, infrastructure, and workflows for performance and scalability.
  • Monitor data pipelines and systems for performance issues, errors, and anomalies, and implement solutions to address them.
  • Implement security measures to protect sensitive information.
  • Collaborate with data scientists, analysts, and other partners to understand their data needs and requirements, and to ensure that the data infrastructure supports the organization's goals and objectives.
  • Design and manage data storage systems, including relational databases, NoSQL databases, and data warehouses.
Requirements
  • Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience).
  • Minimum 5 years of experience as a Backend Data Engineer or in a similar role and strong understanding of ETL processes and data warehousing concepts.
  • Proven experience with Python and related data engineering libraries (e.g., pandas, NumPy, Spark) and hands-on experience with Apache Airflow for managing data pipelines and workflows.
  • Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL.
  • Experience with big data technologies and frameworks like Hadoop, Spark, Kafka, and Flink.
  • Strong understanding of database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review.
  • Knowledge of data warehousing concepts and tools.
  • Experience with cloud computing platforms.
  • Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques.
  • Familiarity with agile development methodologies, software design patterns, and best practices.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent verbal and written communication skills, including the ability to convey technical concepts to non-technical partners effectively.
  • Flexibility to adapt to evolving project requirements and priorities.
  • Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners.
  • Experience working in a virtual environment with remote partners and teams.
  • Proficiency in Microsoft Office.
What We Offer

The CDC Foundation offers a competitive salary range of $103,500-$143,500 per year, plus benefits. This is a grant-funded, limited-term opportunity with a position end date of June 30, 2025.

We are an equal opportunity employer and welcome applications from diverse candidates. We comply with all applicable laws, including E.O and the Vietnam Era Readjustment Assistance Act of 1974, governing employment practices and do not discriminate on the basis of any unlawful criteria.

The CDC Foundation is a smoke-free environment. Relocation expenses are not included.

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