Walden University is hiring a Data Engineer to build data solutions that power strategic and tactical business decisions and support Analytics and AI operations. You will implement the data platform, data pipelines, and data governance policies to provide the foundation for decision-making.

What You'll Do

Work closely with business, IT, Analyst, and Data Science groups to collect business requirements.
Design, develop, deploy, and support high performance data pipelines both inbound and outbound.
Develop the data platform by applying business logic and building objects in the semantic layer of the data warehouse.
Optimize data pipelines for performance, scalability, and reliability.
Ensure quality of critical data elements, prepare data quality remediation plans, and collaborate with business and system owners to fix quality issues at the root.
Document the design and support strategy of the data pipelines.
Capture, store, and socialize data lineage and operational metadata.
Troubleshoot and resolve data engineering issues as they arise.

What We're Looking For

Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Three (3) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
One (1) plus year experience in Google Cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows.
Expert knowledge on SQL and Python programming.
Experience working with Airflow as workflow management tools and building operators to connect, extract, and ingest data.
Experience in tuning queries for performance and scalability.
Experience in Real Time Data Ingestion using GCP PubSub, Kafka, Spark, or similar.
Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment.