> Markdown version of [/jobs/ext/3935369-junior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3935369-junior-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). --- # Junior Data Engineer - **Company:** TEKSYSTEMS INC. - **Location:** Kansas City, KS, United States - **Experience:** Starter - **Salary:** $81,120.0 - $89,960.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Unit Testing, Microsoft Azure, BigQuery, Business Systems, Cloud Computing, Cloud Database, Code Review, Continuous Integration, Data Architecture, Data Cleansing, Information Engineering, Data Files, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, IBM DB2, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Scrum Methodology, Power BI, Tensorflow, Microsoft Copilot, Standard Sql, Azure Data Lake, Salesforce.Com, Software Engineering, SQL Databases, Data Streaming, Toolchain, Unstructured Data, Scripting, Snowflake, IT Architecture, NotebookLM, Data Lakes, Integration Tests, Information Technology, Data Analytics, Apache Kafka, Data Management, Cloud Migration, Data Delivery, Google Gemini, Data Pipelines, Legacy Systems, Amazon Redshift, Databricks - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3467268176&tx=UT545TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Experience: 1-3 years of data engineering or related experience (Associate Analyst level). Basic understanding of data modelling, mapping and data quality/governance practices. Education: Bachelors degree in software engineering, computer science, computer information systems, or related degree, or equivalent professional experience. SQL Skills: Must be able to read/write SQL in the following environments (SQL Server, Oracle, DB2). Cloud Experience: Experience working in cloud data environments (AWS, Azure). Experience working with AWS or Azure workflow orchestration tools. Data Systems: Experience working with one or more columnar storage systems (Snowflake, Redshift, BigQuery, etc.). Process: Must have completed at least one full cycle of building a data lake and/or a data warehouse. Analytical Skills: Knowledge and skills with Power BI will be important, not critical. Soft Skills: Strong business communications skills for requirements gathering and development. Ability to multi-task and change priorities. Nice To Have Worked with or built Data Lakes, Data Warehouse in a hybrid environment (cloud / on-premises). Experience working with CRM systems like Salesforce. Experience with end-to-end supply chain or merchandising. Exposure to data streaming tools and technologies like Kafka, TensorFlow or similar. Basic knowledge and understanding of statistics and awareness of data science methodologies. Top Skills Details * Python * Azure * Databricks * Data engineering * Data architecture Skills Azure data lake, Data warehouse experience, DB2 experience, Cloud migration experience, Data Governance exposure, Business Analysis experience, Agile/Scrum collaboration, Reporting & Analytics exposure, 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 We are seeking a Junior Data Engineer to join a Data Architecture, Engineering and Analytics team. This role will support enterprise data engineering initiatives focused on migrating legacy data warehouse solutions into Databricks and Azure. The engineer will work with data architects and data engineers to build and maintain data pipelines, support data delivery projects, and contribute to the organization's modernization efforts. The ideal candidate will possess Databricks, Python, and Azure experience, strong communication and collaboration skills, and a desire to grow within a high-performing data organization. The individual will participate in multiple data engineering projects, support enterprise data-sharing initiatives, and assist with the transition from legacy DB2-based systems to a modern cloud data platform. The goal is to level up data warehousing and data management capabilities, including curated and cleansed data sets, certified data models and sources. We are adapting to cloud-based data automation for data cleansing, extraction, loading, transformations and visualizations. Another goal is to expand storage and compute capacity for ingestion of structured and unstructured data. As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a new company-wide business intelligence and analytics environment. You will assist in the design and development of standardized datasets derived from multiple systems of record. A key area of success for this role is developing or applying existing development and scripting skills in process automation to orchestrate data pipelines from business systems, data lakes and third-party data repositories. You will be creating and loading dimensional models that will be used for analysis and reporting. As you work on projects and enhancements you will assist in refining data governance within business processes and the technical tool chain. A key to success in this role is to quickly learn the meaning of business data and understand the business domain. Scope: This role is a learning position that requires hands-on review and supervision from leads, managers and occasionally Directors. Position Responsibilities Support Availability and Services (50-60%) Troubleshoot and develop solutions to problems, including using approved AI tools such as Gemini, CoPilot and NotebookLM. Collaborate with other developers and support engineers to resolve production, enhancement or development issues. Participate in an on-call rotation for integration and transformation pipelines, legacy systems, and modern data platforms that may involve occasional off-hours and weekend support. Take ownership of following on-call procedures and instituting permanent fixes for repetitive problems. Maintain documentation for legacy systems, jobs, modern pipelines, and modernization implementation. Understand and implement change control procedures (including RFC, CAB, CI/CD). Deliver Solutions (25%) Build real-time and batch data integrations from disparate source systems into the data lake/data warehouse/delta lake. Build and maintain scalable ETL processes using workflow automation tools. Provide documentation (including Technical Design Documents) for installations and deliverables. Design dimensional models and be able to cleanse and transform raw data into structured formats. Administer and maintain data pipelines used for loading data into the data warehouse or lakehouse. Scale and tune data pipelines, data sets, and SQL queries. Responsible for Unit testing, support of Integration testing, and User Acceptance Testing. Required Basic Skills: Develops timely and proper change documentation. Proactively communicates status to key stakeholders to diagnose and ensure delivery is on track. Takes ownership of assignments. Proactively drives results and seeks support when hitting barriers. Exhibits curiosity to understand how changes fit into the overall scope. Learning and Continuous Improvement (10-20%) Responsible for understanding and adoption of IT Architecture practice. Continuous learning of existing and future data technologies and tools. Apply standard methodologies to analyze, design, develop, test, and deploy data management solutions. Participate in agile story authoring, sizing, and demo sessions for developed features. Participate in code reviews and receive feedback from the team. Propose process improvements for continuous department maturity. Align Roadmap and Strategy (5%) Collaborate with business partners to understand their business problems or needs and desired outcomes. In collaboration with other members of the team and user community, configure cloud-based capabilities that enable the company community. Communicate priorities to the technology organization to drive effective business solutions. Maintain verbal and written issue identification and status updates to cross-functional teams and leadership.