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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Databricks / SQL / Snowflake - **Company:** Akaasa Technologies - **Location:** Spring Valley Village, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Engineering, Data Integration, Data Transformation, Cisco Nexus Switches, Operational Databases, SQL Databases, Sql Optimization, Snowflake, Generative AI, Data Management, Data Pipelines, Databricks - **Published:** August 18, 2026 - **Apply:** https://www.careerjet.com/jobad/usb6a09213a31386c51451f8aa60535064 ## About the Role * Recent or recent second project must be at the current location * Strong Databricks + SQL experience is essential. * Snowflake is highly preferred. * Oil & Gas / Energy / Upstream experience is a strong plus. * AI/GenAI exposure is beneficial but not the primary requirement., * Strong professional experience as a Data Engineer. * Advanced hands-on experience with Databricks. * Strong development experience with Databricks Notebooks. * Advanced SQL skills. * Experience developing and maintaining enterprise-scale data pipelines. * Strong experience integrating data from multiple heterogeneous sources. * Experience with data transformation, data modeling, and data quality. * Ability to troubleshoot and optimize complex data workloads. * Strong communication and collaboration skills. * Ability to work effectively within a small, high-impact engineering team. * Must be able to work onsite in Spring, Texas, 5 days per week. Other Qualifications * Hands-on Snowflake experience. * Experience integrating Databricks with Snowflake. * Experience with semantic/data consumption layers. * Experience working with financial, budgeting, expenditure, or capital project data. * Experience in Oil & Gas, Energy, or Upstream environments - Preferred. * Experience with enterprise-scale data platforms. * Exposure to AI, Generative AI, or ML-enabled data engineering. * Experience using AI capabilities available within Databricks. * Experience supporting production data products after initial development. ## Description * The initial development phase is expected to run for approximately one year. Once the AFE data product moves into production, the Data Engineer will transition with the solution into the organization responsible for its ongoing support, maintenance, and enhancements. * The overall engagement is therefore expected to continue for approximately two years or potentially longer., Our client is seeking an experienced Senior Data Engineer to join a small, high-impact team building a new Authorization for Expenditure (AFE) data product supporting Project Nexus, an upstream data harmonization initiative. The engineer will design and develop a data solution that integrates multiple enterprise datasets to provide a comprehensive view of major capital project spending, including budgeted/projected expenditure, actual expenditure, spending variances, and the business factors driving those variances. The ideal candidate will have strong hands-on experience with Databricks, Databricks Notebooks, and advanced SQL. Snowflake experience is highly preferred, as the semantic/data consumption layer will reside in Snowflake. Exposure to AI-enabled data engineering or Databricks AI capabilities is a plus., Position Overview Client is seeking a Senior Hybrid Infrastructure Engineer to design, implement, operate, and modernize enterprise infrastructure across on-premises and Google C… + 11 days ago + ## 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) - [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) - [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) - [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) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [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) ## 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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)