> Markdown version of [/jobs/ext/487141-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/487141-analytics-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). --- # Analytics Engineer - **Company:** Traffic Tech Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Business Logic, Microsoft Azure, Cloud Computing, Information Engineering, Data Vault Modeling, Data Warehousing, Dimensional Modeling, SQL Databases, Google Cloud, Snowflake, Git, Data Analytics, Databricks - **Published:** June 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=02f4cf2b010d6899 ## About the Role Do you have experience in Git?, * 7+ years of experience in a data analytics or data engineering role; * Experience with SQL; * Experience with dbt; * Experience with DAX * Experience with PBI semantic models; * Experience with dimensional modeling (Kimball); * Experience with Git; * Actively stays up to date with latest technologies; * Leverages AI tools to increase productivity; * Clear and concise communication skills. Bonus: * Familiarity with or interest in Data Vault 2.0 methodology; * Experience with Cloud SQL platforms (Databricks, Snowflake, …) * Experience with cloud technologies (Azure, AWS, GCP); * Experience with PBI report building; * Knowledge of transportation and/or logistics. ## Description * Work with internal customers to understand their data needs, and translate into technical requirements; * Develop and maintain data pipelines to extract or ingest new data sources to a data warehouse, using Data Vault methodology; * Build and maintain PBI semantic models that centralize business logic and simplify reporting; * Monitor the availability and integrity of the data warehouse, and address accordingly; * Identify opportunities to improve data quality; * Contribute to and enforce internal development standards. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [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) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)