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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Data Engineer - **Company:** CareerCircle - **Location:** Kansas City, KS, United States (Remote available) - **Experience:** Starter - **Salary:** $81,120.0 - $89,960.0 - **Contract:** Temporary to permanent - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Code Review, Information Systems, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Sharing, Data Systems, Data Warehousing, IBM DB2, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Scrum Methodology, Raw Data, Power BI, Tensorflow, Azure Data Lake, Salesforce.Com, Software Engineering, SQL Databases, Cloud Platform System, Snowflake, Data Lakes, Information Technology, Data Analytics, Apache Kafka, Cloud Migration, Data Pipelines, Legacy Systems, Amazon Redshift, Databricks - **Published:** October 7, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/ks/kansas-city/f5ff7846-1795-4283-8235-ff5227a4e4a2 ## About the Role The ideal candidate will have hands-on Databricks experience, strong Python development skills, and exposure to Azure. This is an excellent opportunity to work alongside experienced data architects and senior engineers while contributing to large-scale cloud transformation efforts., * Hands-on experience with Databricks (top priority) * Strong Python development experience * Experience working in Azure environments * Data engineering and data pipeline development experience * Understanding of ETL/ELT processes and best practices * Experience supporting cloud migration initiatives * Strong communication and collaboration skills * Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field (or equivalent experience), * Azure Data Lake experience * Data warehouse or lakehouse experience * DB2 experience * Data governance exposure * Business analysis experience * Agile/Scrum environment experience * Reporting and analytics exposure * Experience with Power BI * Experience with Snowflake, Redshift, BigQuery, or similar platforms * Exposure to Kafka, TensorFlow, or other modern data technologies * Salesforce or CRM experience, * 1-3 years of experience in Data Engineering, Data Analytics, Software Development, or a related technical field. * Experience writing SQL in environments such as SQL Server, Oracle, or DB2. * Exposure to AWS or Azure cloud platforms. * Experience building or supporting data lakes, data warehouses, or lakehouse solutions. * Understanding of data modeling, data mapping, and data governance concepts., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description BigQuery Operations Automation Governance Data Lakes Databricks TensorFlow Warehousing Code Review Scalability Data Quality Data Sharing Apache Kafka Data Mapping Communication Data Analysis Data Modeling Data Pipelines Microsoft Azure Data Governance Cloud Migration Amazon Redshift Computer Science Data Warehousing Data Engineering Agile Methodology Change Management Data Architecture SQL Server Oracle Business Valuation Process Improvement Amazon Web Services Information Systems Workflow Automation Software Engineering Software Development Full Stack Development Technical Documentation Business Transformation SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Scrum (Software Development) Python (Programming Language) Customer Relationship Management, Seeking a Junior Data Engineer to join a growing Data Architecture, Engineering, and Analytics team. This role will support enterprise data modernization initiatives focused on migrating legacy data warehouse solutions into Databricks and Azure cloud environments., Data Engineering & Development * Build and maintain real-time and batch data integrations from various source systems into cloud-based data platforms. * Develop and support scalable ETL/ELT pipelines and workflow automation solutions. * Design, build, and maintain dimensional data models used for analytics and reporting. * Transform, cleanse, and structure raw data for enterprise consumption. * Optimize data pipelines, datasets, and SQL queries for performance and scalability. * Support testing efforts, including unit, integration, and user acceptance testing. Production Support * Troubleshoot and resolve issues within data pipelines, legacy systems, and cloud platforms. * Participate in an on-call rotation supporting critical data services. * Create and maintain technical documentation for systems, jobs, and data processes. * Follow change management and deployment processes, including CI/CD practices. Collaboration & Strategy * Partner with architects, engineers, analysts, and business stakeholders to deliver data solutions. * Gather requirements and support data-sharing initiatives across the organization. * Contribute to cloud platform modernization and migration efforts. * Provide status updates and communicate project progress to stakeholders. Continuous Learning & Improvement * Participate in code reviews and Agile ceremonies. * Learn and adopt modern data technologies and architectural best practices. * Identify opportunities to improve processes, automation, and team efficiency. * Contribute to data governance and data quality initiatives., BigQuery Operations Automation Governance Data Lakes Databricks TensorFlow Warehousing Code Review Scalability Data Quality Data Sharing Apache Kafka Data Mapping Communication Data Analysis Data Modeling Data Pipelines Microsoft Azure Data Governance Cloud Migration Amazon Redshift Computer Science Data Warehousing Data Engineering Agile Methodology Change Management Data Architecture SQL Server Oracle Business Valuation Process Improvement Amazon Web Services Information Systems Workflow Automation Software Engineering Software Development Full Stack Development Technical Documentation Business Transformation SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Scrum (Software Development) Python (Programming Language) Customer Relationship Management +0 Google IT Automation with Python