Job Title: Technical Writer

*No C2C/No Sponsorship*

Location: Hybrid - Bellevue, WA (2-3 days/week onsite)

Length of Contract: 6+ months

Pay: 85-98/hr Pay

Technical Writer needed on team. This resource needs to be able to manage their own schedule and projects.

• 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: