DataCloud Engineer
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
JD is Same for both roles: (2 Position)
Data/Cloud Engineer (3 Positions)
Seattle WA
Hybrid position
Client - Aerospace Industry
Sr. Data/Cloud Engineer (2 Positions)
Experience Required: 10-14 years
Seattle WA
Hybrid position
Client - Aerospace Industry
Seattle WA
Hybrid position
Client - Aerospace Industry
Sr. Data/Cloud Engineer (2 Positions)
Experience Required: 10-14 years
Seattle WA
Hybrid position
Client - Aerospace Industry
Role Summary:
The Data/Cloud Engineer is responsible for designing building testing and deploying end-to-end data ingestion connectors and ETL/ELT pipelines on the Boeing-provided framework. Working in two-person pods each pod will deliver one data source to production per month across a variety of ingestion patterns (batch streaming CDC). This role is the core delivery engine of the project.
The Data/Cloud Engineer is responsible for designing building testing and deploying end-to-end data ingestion connectors and ETL/ELT pipelines on the Boeing-provided framework. Working in two-person pods each pod will deliver one data source to production per month across a variety of ingestion patterns (batch streaming CDC). This role is the core delivery engine of the project.
Key Responsibilities:
Design and build connectors for prioritized data sources including SFTP REST APIs RDBMS (CDC) Kafka S3 file drops and mainframe extracts.
Define source-specific ingestion patterns (batch windows CDC streaming) and map data to canonical landing zones in the lakehouse architecture.
Implement reusable ETL/ELT pipelines on the IT-provided framework (e.g. AWS Glue Spark dbt) across raw curated consumption layers.
Develop transformation logic handle schema evolution implement partitioning strategies and capture metadata for lineage tracking.
Embed data quality checks (completeness schema conformance record counts freshness) with fail/alert behavior within pipelines.
Write unit integration and end-to-end tests; validate pipelines in CI/CD and staging environments prior to production promotion.
Produce connector runbooks data contracts transformation specs and onboarding guides.
Collaborate with source system owners to obtain access sample data and schema/contract details.
Participate in 2-week Agile sprints under Boeings sprint planning and task assignment process.
Required Skills & Qualifications:
5 8 years of hands-on experience in data engineering cloud data platforms and ETL/ELT pipeline development.
Strong proficiency in Python SQL and Spark (PySpark or Scala).
Hands-on experience with AWS data services: Glue S3 Kinesis Lambda Redshift Athena or equivalent.
Experience building ingestion pipelines for diverse source types: SFTP REST APIs RDBMS (JDBC/CDC) Kafka/streaming and flat file processing.
Working knowledge of lakehouse architectures (Delta Lake Iceberg or Hudi).
Experience with dbt or similar transformation frameworks.
Familiarity with CI/CD pipelines for data workloads (e.g. GitHub Actions CodePipeline Jenkins).
Understanding of data quality frameworks and schema evolution handling.
Strong documentation skills for runbooks data contracts and technical specifications.
