> Markdown version of [/jobs/ext/2709483-dbt-developer](https://www.wearedevelopers.com/jobs/ext/2709483-dbt-developer). 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). --- # DBT Developer - **Company:** Lorven Technologies Inc - **Location:** Pleasanton, CA, United States - **Contract:** Permanent contract - **Skills:** Airflow, Collaborative Software, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), SQL Databases, Data Strategy, Software Version Control, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/1004574e-27e5-4b46-92cc-f929803093fe ## About the Role * Bachelor's degree in related field. * Demonstrate strong hands on experience using Airflow to orchestrate complex data workflows with the ability to understand dependencies and failure modes. * Apply practical expertise in ETL design and optimization creating structured transformation approaches that improve reliability and maintainability of data pipelines. ## Description * Use SQL fluently to support analysis validation and troubleshooting across program workstreams enabling accurate insights and quick resolution of data issues. * Leverage DBT Core experience to manage data models and transformations with version control documentation and testing practices aligned to program standards. * Bring prior program management experience of five to six years in technology or data environments with a track record of delivering multi team initiatives. * Show skill in hybrid collaboration tools and methods enabling distributed teams to maintain alignment clarity and shared understanding of goals and progress. * Demonstrate strong communication and negotiation abilities to translate technical details into business impacts and to build consensus on priorities and trade offs. * Apply structured problem solving and analytical thinking to evaluate risks dependencies and options leading to pragmatic and data informed program decisions. * Possess experience working in day shift schedules with global stakeholders through digital channels without relying on travel for effective coordination. * Coordinate end to end planning of data programs that rely on Airflow ETL SQL and DBT Core ensuring clear scope timelines and outcome focused delivery. * Drive integrated program schedules across multiple data engineering and analytics teams aligning dependencies milestones and resource plans for reliable execution. * Manage stakeholder expectations across business technology and operations functions by providing transparent status risk visibility and clear decision inputs. * Facilitate program ceremonies such as planning reviews and increment checkpoints to keep teams focused on shared objectives and measurable data outcomes. * Monitor data pipeline performance and quality metrics at a program level and collaborate with technical owners to prioritize remediation and continuous improvement actions * Ensure ETL workflows orchestrated through Airflow follow agreed standards and controls by tracking adherence and escalating deviations to accountable owners. * Coordinate implementation of DBT Core models within broader data initiatives ensuring alignment to defined transformation patterns and documentation practices * Collaborate with data engineers and analysts to sequence SQL and ETL deliverables so that downstream consumers receive timely trusted and well validated datasets. * Oversee risk and issue management for data programs by identifying impact owners and resolution paths and by keeping program governance forums informed. * Align program deliverables with organizational data strategy and ethical use principles so that solutions support responsible innovation and societal benefit. * Guide adoption of hybrid work practices within program teams ensuring effective collaboration clear communication norms and accessible documentation repositories. * Track financials and benefits realization for assigned programs by comparing outcomes against business cases and recommending course corrections when needed. * Coordinate day shift operations for program activities making sure handoffs and communications are optimized without requiring travel commitments for team members. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [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) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone](https://www.wearedevelopers.com/videos/100117-tidb-one-layer-at-a-time-how-distributed-sql-became-an-agentic-ai-backbone) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Basic And Advanced Networking in Dart and Flutter](https://www.wearedevelopers.com/magazine/112-basic-and-advanced-networking-in-dart-and-flutter) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)