> Markdown version of [/jobs/ext/1825344-associate-data-engineer](https://www.wearedevelopers.com/jobs/ext/1825344-associate-data-engineer). 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). --- # Associate Data Engineer - **Company:** Schneider Llp - **Location:** Franklin, TN, United States - **Experience:** Expert - **Salary:** $101,600.0 - $152,400.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Layers, Cloud Computing, Cloud Database, Computer Programming, Databases, Continuous Integration, Data as a Services, Data Architecture, Data Cleansing, Extract Transform Load (ETL), Data Stores, Data Systems, Data Warehousing, DevOps, Apache Hadoop, Identity and Access Management, Python (Programming Language), Machine Learning, Oracle Data Service Integrator, Sql Optimization, Informatica Powercenter, System Availability, Apache Spark, Informatica Cloud, Electronic Medical Records, Cloudformation, Information Technology, Apache Kafka, Data Management, Data Delivery, Cloudwatch, Data Pipelines, Legacy Systems, Alteryx, Amazon Redshift, Programming Languages - **Published:** July 9, 2026 - **Apply:** https://www.jofdav.com/jobs/58759516-associate-data-engineer ## About the Role Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience., * 3+ years of experience with modern programming languages such as Python, Scala, or Java. * 3+ years of experience developing data solutions on cloud platforms such as AWS. * Demonstrated experience with key AWS services (EC2, Lambda, EMR, S3, IAM policies, CloudWatch, CloudFormation, SES). * Experience with cloud data and database technologies such as DMS, Kafka, Spark, Redshift, Athena, Hadoop, and Airflow. * Knowledge of Data Management, Integration, and Data Quality tools (Alteryx, Trifacta, Informatica PowerCenter, Informatica Cloud, Oracle Data Integrator), along with a solid understanding of data modeling, ETL processes, and data warehousing concepts. * Strong command of advanced SQL and programming. * Experience contributing to and following best practices for architecture, design, and implementation. * Strong focus on operational transparency and resiliency across application layers. * Proven analytical and problem-solving skills; ability to identify key facts quickly and propose creative, practical solutions. * Experience with DevOps tools, processes, and CI/CD is an asset. * Excellent communication, presentation, influencing, and reasoning skills. ## Description Schneider Electric is hiring a Data Engineer to support the development, maintenance, and enhancement of data delivery across the North America (NAM) Data Excellence platform. This role drives improvements in data architecture, metric definitions, and processes that enable business data and analytics initiatives, while partnering closely with the Data Services team and business stakeholders., * Collaborate with team members to conceptualize, design, and deliver enterprise and departmental data solutions supporting business intelligence, data warehousing, reporting, and machine learning needs. * Implement reliable, scalable solutions that meet service levels for mission-critical systems. * Participate in and enhance DevOps practices to ensure high availability and rapid issue resolution. * Translate business requirements into data pipelines and data stores. * Conduct assessments and proof-of-concepts on emerging tools and technologies. * Work with Data and Solution Architects to define and execute migration strategies from legacy systems to cloud technologies. * Provide feedback to improve the delivery and performance of team solutions. ## 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) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [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) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)