Overview
On Site
Depends on Experience
Contract - W2
Skills
Data Engineer
ETL frameworks
Telecom
data orchestration tools
AWS
Azure
GCP
Python
Job Details
Job Title: Data Engineer
Location: Bellevue, WA (Onsite)
Key Responsibilities
Location: Bellevue, WA (Onsite)
Key Responsibilities
- Design, develop, and maintain data pipelines and ETL/ELT processes for structured and unstructured data.
- Build and optimize data warehouses, data lakes, and lakehouse architectures on cloud platforms (AWS, Google Cloud Platform, or Azure).
- Implement data ingestion, transformation, and integration workflows using tools such as Apache Spark, Airflow, Glue, or Dataflow.
- Develop and maintain data models to support reporting and analytics.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Ensure data quality, security, and governance standards are met.
- Monitor data pipelines and troubleshoot performance or reliability issues.
- Work closely with DevOps and Data Science teams for model deployment and data integration.
- Bachelor s or Master s degree in Computer Science, Data Engineering, or related field.
- 4 8 years of experience as a Data Engineer.
- Proficiency in SQL and at least one programming language (Python, Scala, or Java).
- Hands-on experience with cloud data services such as:
- AWS: Redshift, Glue, S3, EMR, Lambda
- Google Cloud Platform: BigQuery, Dataflow, Dataproc, Cloud Storage
- Azure: Synapse, Data Factory, Databricks
- Telecom domain preferred
- Experience with data orchestration tools (Airflow, Step Functions, etc.).
- Strong knowledge of ETL frameworks, data modeling, and data warehousing concepts.
- Familiarity with version control (Git) and CI/CD practices.
- Understanding of data security, compliance, and governance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.