Data / Cloud Engineer

Seattle, WA, US • Posted 3 hours ago • Updated 1 hour ago
Contract W2
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Job Details

Skills

  • Python
  • Documentation
  • DEV OPS
  • Agile
  • QA
  • Automated Testing
  • Data Quality
  • Quality Checks
  • SQL
  • ETL
  • Deployment
  • RDBMS
  • Strong Communication Skills
  • Amazon Web Services
  • Contracts
  • Jenkins
  • Continuous Integration/Delivery
  • Apache
  • GitHub
  • MS ASP
  • REST
  • Scrum
  • Mainframe
  • Operations
  • Scripting
  • Serverless Architecture
  • AWS Cloudformation
  • Terraform
  • Metrics
  • Shell Scripting
  • Kafka
  • Data Governance
  • Data Pipelines
  • AWS Cloudwatch
  • Identity and Access Management
  • Provisioning
  • Apache Kafka
  • ECS
  • Welding
  • APM
  • Technical Specifications
  • JDBC
  • Data Sources
  • Metadata
  • Collection
  • grafana
  • Scala
  • System Integration
  • Aerospace
  • PLS
  • Bridges
  • Cost Management
  • Secure File Transfer Protocol
  • Reliability Engineering
  • Data Lineage
  • EMR
  • Monte Carlo
  • Amazon Kinesis
  • Quota
  • AWS CodePipeline
  • Cost Controls

Summary

Note: Any domain is ok

Location - Seattle, WA (Hybrid work) Onsite 2 3 days per week - is mandatory.

Data/Cloud Engineer

Experience Required: 5 8 years

Sr. Data / Cloud Engineer

Experience Required: 10-14 years

JD is Same for both roles:

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.

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 Boeing's 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.
  • Experience working in Agile/Scrum delivery models.

Preferred Skills:

  • Experience with mainframe data extraction and integration.
  • Familiarity with Apache Kafka (producers, consumers, connect, schema registry).
  • Exposure to data cataloging and lineage tools (e.g., AWS Glue Catalog, Apache Atlas, DataHub).

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.
  • Dice Id: 10515154
  • Position Id: 2026-6031/33228
  • Posted 3 hours ago

Company Info

About Aroha Technologies

Michael Arrington, founder and co-editor of Tech Crunch once famously said that ‘The best startups generally come from somebody needing to scratch an itch’.

 Quite true to the thought, Aroha Technologies Inc was launched in 2008 in Florida. While we began our journey with a powerful Staffing Specialist & Software Development, Today our procedure has amplified into a more robust and simplified solution for Marketers looking for consistent and long term.

In our quest to do better, we resolve to simplify user acquisition, retention, engagement and large Business without blinking an eyelid! A semi-remote team spread across the globe, we are here to help you one step at a time.

Unmatchable growing excellence When AROHA was formed, we interviewed many potential clients and business colleagues and asked what a single important question seemed: “If you could design a firm to meet your needs, what would it look like?” The answers to that question have guided our thinking and planning on an ongoing basis, and form the core of our thinking about how we treat our clients and our employees, whom we call associates.

At a most basic level, we have stated our mission in a promise to our clients and our associates: “Unmatchable growing excellence.” This alignment governs superior service to our customers and supports our associates who perform that work, which cannot be matched by our competitors.

In short, we believe that care of our associates, disciplined financial management, and constant attention to the fundamentals of good delivery adds up to a successful, scalable business.

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