Technical Writer
Location: 929 108th Ave NE. Bellevue, WA
Length of Contract: 6 months - 1 year
Schedule: 2-3 days a week onsite. 40 hours a week
Start: 1-2 weeks from date of offer
*W2 Contract Only*
*Background Check and Drug Screen Required*
Technical Writer needed on team. This resource needs to be able to manage their own schedule and projects. This is a senior level role with little handholding.
- Create online guides, reference docs, and tutorials for technical audiences (SQL engineers, application developers, etc).
- Engage directly with product managers, software engineers, and UI designers to ensure all features, enhancements, and changes are fully documented.
- Work with release engineers and dev ops to deliver weekly product updates and documentation.
REQUIRED SKILLS/ EXPERIENCE:
- 7+ years creating technical product documentation from scratch, as well as from specs.
- Strong familiarity with data ingestion/pipelines (ELT, streaming, etc.), storage (Iceberg, Data Lake, etc.), and transformation.
- Strong SQL and RDBMS skills (Oracle, Teradata, Redshift, SQL Server, etc); comfortable working with sample code.
- Strong familiarity with "Docs-as-Code" approach, specifically:
- Source code control using GIT for branching, content review and merging etc.
- Documentation languages such as RST, Markdown, etc. Preferably RST.
- Exposure to using and documenting one or more of the following areas:
- E-commerce products.
- Data and application marketplaces, including producers/providers, consumers, and marketplace listings.
- User interfaces (UI) and command line interfaces (CLI) technologies.
- In-depth knowledge of the content development lifecycle, including:
- Identifying and understanding the information needs of the audience.
- Gathering information, interviewing SMEs, and conducting research.
- Authoring, publishing, and managing online/web content.
ADDITIONAL DESIRED QUALIFICATIONS:
- Familiarity with:
- Security, access control, identity and access management (IAM), and data privacy/governance (OAuth, RBAC, SCIM, encryption, etc).
- Cloud computing platforms (AWS, Microsoft Azure, GCP, etc).
- Programming languages/APIs (Python, JavaScript, Java, Go, C#/.NET, etc).
- Big Data analytics, machine learning, and statistics (Spark, Scala, R, etc).
- CI/CD methodologies and technologies (Jenkins, Lambda, etc).
- Strong familiarity with data ingestion/pipelines (ELT, streaming, etc.), storage (Iceberg, Data Lake, etc.), and transformation.
- Strong SQL and RDBMS skills (Oracle, Teradata, Redshift, SQL Server, etc); comfortable working with sample code.
- Strong familiarity with "Docs-as-Code" approach, specifically:
