Senior Data Engineer Team: Data Services Location: Dallas TX Employment Type: Full-Time About the Role Were looking for a hands-on Senior Data Engineer who thrives on building. This role goes beyond designing architecturewe need someone excited to tackle real-world data problems engineer robust pipelines and optimize how data flows across systems.
Youll be at the core of our AI and analytics strategy helping to build the data foundation that powers our Measurement & Verification (M&V) tools product analytics and smart building optimization efforts. From scraping utility websites to feeding machine learning models and dashboards youll be integral to developing our Data Lake and MCP platform.
If you love solving complex data engineering challenges connecting systems and creating measurable impactyoull fit right in. What Youll Do Engineer production-grade data pipelines (batch & real-time) to move and transform data between diverse systems Build custom ingestion solutions including web scrapers loaders and automation routines for utility weather and building data Design and maintain integrations with internal APIs third-party sources and cloud storage Partner with Data Scientists Product Managers and M&V Analysts to make data useful actionable and accessible Develop scalable ETL/ELT pipelines for AI model training alerting reporting and analytics use cases Support the ongoing development of our AI-ready Data Lake ensuring data integrity and quality Drive performance reliability and observability into pipelines using Airflow dbt and AWS-native services Maintain a builder mindsetyoull be writing code more than drawing diagrams What Were Looking For
5 years of experience building data pipelines and automation tools in production environments Proficiency in Python SQL and data manipulation libraries (pandas pyarrow etc.) Experience with web scraping frameworks (e.g. Puppeteer Playwright BeautifulSoup) Hands-on experience with AWS cloud-native stacks (S3 ECS Lambda Glue Athena Redshift) Strong grasp of APIs data formats (JSON XML) and integration patterns Skilled in data modeling version control containerized workflows (Docker) and orchestration tools (Airflow) Passion for delivering high-quality production-ready code in collaborative environments
Experience with energy data utility billing or IoT sensor feeds Familiarity with machine learning pipelines time-series analytics or anomaly detection Experience with CI/CD pipelines IaC (Terraform) observability tools Background in DataOps or data quality/validation frameworks Why Join Us At Cenergistic your work will directly help reduce energy waste lower utility costs and promote sustainability in thousands of buildings nationwide. Were scaling fastand the data infrastructure you build will power AI initiatives advanced analytics and energy optimization that deliver measurable impact. Equal Employment Opportunity (EEO) Statement Cenergistic is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race color religion sex (including pregnancy gender identity and sexual orientation) national origin age disability veteran status or any other legally protected status. All qualified applicants will receive consideration for employment.
| Required Experience:
Senior IC