> Markdown version of [/jobs/ext/2722354-ai-data-engineer](https://www.wearedevelopers.com/jobs/ext/2722354-ai-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Engineer - **Company:** UJET, INC. - **Location:** Santa Monica, CA, United States - **Salary:** $80,000.0 - $100,000.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, BigQuery, Code Review, Databases, Computer Engineering, Extract Transform Load (ETL), Software Debugging, Identity and Access Management, OAuth, Salesforce.Com, Systems Integration, Twilio, Scripting, Genesys, Large Language Models, Snowflake, Prompt Engineering, Git, Production Code, Data Analytics, Vertica, Terraform, Data Pipelines, Amazon Redshift - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/ai-data-engineer-ujet-8412076 ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Data Science, or Data Analytics with a CS/computing focus - or an equivalent rigorous technical degree * Prior production engineering experience with data pipelines, integrations, or analytics infrastructure - internship, contract, or full-time all qualify * Daily fluency with a standard engineering workflow: working in a shared codebase via git, authoring pull requests, giving and receiving substantive code review, debugging from logs, and shipping through CI - this is everyday work in this role, not a once-a-quarter activity * Comfort using AI as part of the everyday engineering workflow - LLM APIs, AI-assisted coding tools, prompt design, and a clear-eyed view of where AI multiplies the work and where its first pass needs to be overridden * Comfort writing production code in a modern typed or scripting language (years of experience scaling with level - new grads with strong fundamentals welcome) * Working knowledge of a major cloud provider - identity and access management, object storage, secrets handling, and the security model that governs cross-organization access * Experience with at least one data orchestration or ETL system, whether durable workflow, batch scheduler, or stream processor * Strong SQL chops; comfortable querying data to validate and reconcile what landed against what was sent * Customer-facing communication skills - able to hold a technical conversation with a customer's engineering counterpart and leave with a decision * Clear written communication, async-first, as most coordination happens over email, chat, and tickets across multiple timezones * A bias toward decisions over open questions, and a habit of writing the recommendation, not just the options Stand-out Qualifications * Hands-on experience with Temporal or another durable workflow engine * OAuth integration experience (Salesforce JWT Bearer or Client Credentials especially) * Infrastructure-as-code experience with AWS CDK or Terraform * Experience with a columnar analytics database (ClickHouse, BigQuery, Snowflake, Redshift, DuckDB) * Background in contact center, CCaaS, or CX domains (UJET, Genesys, Five9, Twilio, Aircall, Talkdesk, NICE) * Comfort estimating cost and runtime of transcription or LLM pipelines at six-figure-file scale * Experience building with LLM APIs (Anthropic, OpenAI, AWS Bedrock, or equivalent) - evaluation, prompt design, cost and latency tradeoffs * Has used AI coding agents on a non-trivial engineering project and can articulate where the agent multiplied them and where they had to override its first pass * Prior experience as a Forward-Deployed Engineer, Solutions Engineer, Implementation Engineer, or Technical Account Manager Annual US Hiring Range: $80,000 - $100,000 *A candidate's actual placement within this range will depend on geographic location, work experience, education, and/or skill level. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. ## Description * Run technical discovery with new customers to scope what data is available, where it lives, and how it will reach Spiral * Design the integration approach for each customer: whether that's cloud-to-cloud bucket access, vendor push uploads, scheduled API pulls, file drops, or auth-protected exports and explain the tradeoffs to their engineering counterpart * Shepherd credential and access exchange between the customer and Spiral - cloud access policies, OAuth or token-based authentication setup, key handoff - and stay on the thread until access is verified end-to-end * Write the code that adapts each customer's data shape into our ingestion contract, and ship it to production through code review * Make infrastructure-as-code changes to provision the cloud resources, identity grants, and secrets each new customer requires * Configure and operate the orchestration that runs each customer's recurring ingest; validate end-to-end through run history, logs, and metrics * Reconcile ingested data against source-system counts; diagnose and backfill historical gaps * Own customer relationships post-go-live: schema changes, new feed requests, data-format drift, and surfacing upsell opportunities back to the account team * Partner with Sales, Customer Success, and Spiral Engineering to compress time-to-first-data on every new deal ## Related Videos - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) - [20 billion requests a week: Upgrading Twilio's API gateway at scale](https://www.wearedevelopers.com/videos/100234-20-billion-requests-a-week-upgrading-twilio-s-api-gateway-at-scale) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [Minimal infrastructure for Real‑Time Phone Agents: transcripts in, responses out](https://www.wearedevelopers.com/videos/1736-minimal-infrastructure-for-real-time-phone-agents-transcripts-in-responses-out) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)