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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Fairway All Brands Page - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon S3, ARM Architecture, Automation of Tests, Software as a Service, Information Systems, Databases, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, File Systems, Github, Python (Programming Language), Key Management, Operational Databases, Role-Based Access Control, SQL Databases, Data Streaming, Enterprise Data Management, File Transfer Protocol (FTP), Data Ingestion, Snowflake, Change Data Capture, Information Technology, Data Management, Data Delivery, Software Version Control, Data Pipelines - **Published:** June 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=92bb8fecf3c7fd7c ## About the Role Do you have experience in Version control systems?, Do you have a Bachelor's degree?, The Senior Data Engineer is responsible for building, operating, and hardening the data pipelines and platform infrastructure that power Fairway's Enterprise Data Platform (EDP). This role builds and operates ingestion, transformation, and orchestration across the Snowflake data cloud - using dbt for transformation, managed ingestion services for source onboarding, and AWS S3 for file storage and landing zones. The Senior Data Engineer ensures the platform is reliable, secure, observable, and cost-efficient, and supports the technical execution of new-source onboarding. Above all, the ideal candidate is meticulous, highly organized, and exacting about how systems are structured and how they function - a self-directed driver with a strong work ethic and clear communication. In an AI-assisted development model, sound technical judgment, rigorous review, and organizational discipline are what turn generated code into reliable, well-structured output., * Strong Snowflake skills - data modeling, performance, cost management, and security (RBAC, masking). * Strong experience with dbt - transformation pipelines, SCD Type 2 snapshots, automated testing, and data-quality controls. * Solid SQL and Python - enough to read, review, and rigorously validate data logic and AI-generated code - with sound engineering practices (Git / GitHub, automated testing, and CI/CD). * Experience building and operating production data pipelines - continuous ingestion, change-data-capture, orchestration, scheduling, SLA monitoring, alerting, and incident response. * Hands-on experience with AWS S3 and secure outbound delivery to external vendors via SFTP and secure data shares, including credential / key management. * Skilled at writing precise build specifications and rigorously reviewing and validating generated code - the foundation for directing AI coding tools such as Snowflake Cortex AI or Claude (hands-on AI-assisted experience welcome, not required). * Working knowledge of data governance, security, PII handling, and compliance frameworks. * Meticulous and highly organized - exacting about how data, code, and processes are structured, named, and documented. * Self-directed, with a strong work ethic and ownership mentality - takes initiative and follows through to completion. * Strong communication skills for technical coordination with vendors and cross-functional teams - proactive, keeps people informed, and documents work clearly. * Familiarity with agile methodologies and cross-functional collaboration. Education Requirements: * Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent on-the-job experience, required. * Relevant certifications such as SnowPro Core / Advanced: Data Engineer or dbt certification are highly desirable., * 5-8 years of experience in data engineering, data platform, or related roles. * 3+ years building and operating production pipelines on Snowflake (or a comparable cloud data warehouse) with dbt. * 2+ years with cloud-managed ingestion (Fivetran / Snowpipe) and AWS S3. * Matillion experience a plus. ## Description * Build and maintain automated ingestion pipelines from SaaS applications, databases, streaming sources, and inbound Snowflake data shares - including source data contracts that catch upstream changes before they break downstream models. * Develop and maintain transformation models across the raw, transformation, and presentation layers - including SCD Type 2 history - with rigorous testing and documentation. * Build and operate pipeline orchestration with job-dependency management, change-data-capture, SLA monitoring, alerting, and incident response. * Build and operate secure outbound data delivery to third-party vendors through established EDP patterns (SFTP and secure data shares), including delivery monitoring and credential management. * Manage data warehouse operations - warehouse sizing, cost monitoring, role-based access control, and PII masking. * Support data governance and quality - maintain the data catalog and Snowflake-native lineage under the direction of data stewards, implement data-quality controls, and enforce platform standards. * Build and maintain GitHub-based version control, automated testing, and the CI/CD pipeline that gates code promotion across environments. ## 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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [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) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## 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) - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)