The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Similar Jobs
Consumer Web • eCommerce • Internet of Things
Own and produce developer-facing documentation for DNSid including API references (TypeScript, Python, Go), conceptual guides, integration tutorials, developer portal IA, standards/spec writing, changelogs, and CI-validated code samples. Work closely with SDK engineers and developer advocates to document features pre-release, set style and tooling, and ensure docs are machine- and AI-consumable.
Top Skills:
A2ACiCrewaiDnsDocusaurusGitGoLangchainLlamaindexLlms.TxtMcpMicrosoft Agent FrameworkMintlifyOauth 2.0OidcOpenai Agents SdkPythonReadthedocsSpiffeSpireTxt RecordsTypescript
Consumer Web • eCommerce • Internet of Things
Founding Developer Advocate for DNSid: build and grow the developer community, create videos/blogs/tutorials, speak at events, run workshops/hackathons, engage on GitHub/Discord, ship SDK demos and integrations (TypeScript/Python/Go), contribute upstream open-source, and feed developer insights into the product roadmap.
Top Skills:
A2ACrewaiDnsGitGoLangchainLlamaindexMcpMicrosoft Agent FrameworkMtlsOauth 2.0OidcOpenai Agents SdkPythonSpiffeTypescript
Consumer Web • eCommerce • Internet of Things
Build and maintain production SDKs (TypeScript, Python, Go) and integrations for AI agent frameworks and edge runtimes. Implement DNSid identity flows, cryptographic key lifecycle, middleware/plugins, testing and CI pipelines, package releases, and reference apps. Collaborate with Developer Advocates and technical writers while contributing upstream to third-party frameworks and shaping protocol specifications.
Top Skills:
A2ACertificate ChainsCi/CdCloudflare WorkersCrewaiDnsDns Operator ApisDnssecEd25519Es256Fastly ComputeGitGoGo Module ProxyGo ModulesHttp/1.1Http/2Jwk SetsJwtLangchainLanggraphLlamaindexMcpMicrosoft Agent FrameworkMtlsNpmOauth 2.0OidcOpenai Agents SdkPypiPythonSemantic VersioningSpiffe/SpireTlsTypescriptVercel EdgeWebassemblyWebid
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

