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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Lead / Senior Data Engineer - **Company:** TalentOla View all jobs - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $57,850.0 - $104,575.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, JIRA, Cloud Computing, Code Review, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Identity and Access Management, Python (Programming Language), Performance Tuning, Scrum Methodology, DataOps, SQL Databases, Snowflake, Data Build Tool (dbt), AWS Glue, Star Schema, Data Management, Data Pipelines - **Published:** July 15, 2026 - **Apply:** https://www.careerjet.com/jobad/us22fb03f61143f410df1c9e66fe746371 ## About the Role ABM Industries is seeking an Electrical Field Test Technician (NETA III / IV or equivalent experience) to join our Electrical Power Services team. The Electrical Field Test Technic… + 26 days ago ## Description We are seeking a seasoned Data Lead / Senior Data Engineer to join our team as a technical anchor for a data platform. In this role, you won't just be building pipelines; you'll be the bridge between complex business requirements and scalable technical reality. You will lead the development of robust ETL processes, support a team of developers, and collaborate closely with stakeholders to ensure customer's data infrastructure evolves alongside our business goals., * Development: Good understanding of data platforms and ETL frameworks, design, develop, and maintain end-to-end ETL/ELT pipelines using Python, AWS Glue, Snowflake, and dbt (optional). * Orchestration & Automation: Build and manage sophisticated workflow schedules using AWS Airflow (MWAA) and other native AWS Services. * Agile Leadership: Own the project lifecycle within JIRA, from sprint planning and task breakdown to maintaining rigorous design documentation. * Stakeholder Collaboration: Partner with the Project Manager and Data Engineering Team Leads to translate ambiguous business needs into clear technical requirements and identify potential project risks early. * Technical Mentorship: Act as a lead for the development team, providing technical guidance, conducting thorough code reviews, and helping peer developers digest complex requirements. * Operational Excellence: Support the Data Operations/Production Support teams in troubleshooting critical issues and ensuring high system uptime. * Strategic Planning: Contribute to the long-term technical roadmap, identifying opportunities for tool optimization and architectural improvements. Required Technical Skills: Category Skills & Tools Cloud Infrastructure AWS (Glue, S3, IAM, MWAA/Airflow) Data Warehousing Snowflake (SnowSQL, Performance Tuning) Languages Python (Advanced), SQL Data Modeling (Optional) dbt (Data Build Tool), Star/Snowflake Schema Task Management JIRA, Agile/Scrum Methodologies, * The "Technical Translator": You can talk shop with engineers but also explain a technical bottleneck to a PM in a way that makes sense for the business. * The Mentor: You enjoy helping others level up and believe that a solid code review is an opportunity for teaching, not just nitpicking. * The Problem Solver: You don't just fix a production bug; you look for the root cause and implement a fix that prevents it from happening again. * The Planner: You are organized and understand that a well-documented design and a clean JIRA board are essential for team velocity. ## 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) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)