Junior Python Developer Jobs in Grain Valley, MO

Position Summary

We are seeking an accomplished Senior Data Engineer with 8 years of hands-on experience to join our data team. This role combines deep expertise in data pipeline engineering ETL- SQL Server, Informatica, Active Batch, and SSAS - with strong semantic modeling capabilities, including Power BI and dimensional data modeling. The ideal candidate is equally comfortable supporting and enhancing production pipelines and supporting high-performance analytical models that drive business intelligence across the enterprise.

Key Responsibilities 

Pipeline Engineering & Production Support

• Monitor, support, and enhance existing data pipelines built on SQL Server, Informatica, and Active Batch, ensuring high availability and data integrity.
• Develop, maintain, and optimize ETL/ELT processes; troubleshoot performance bottlenecks and data quality issues with minimal downtime.
• Manage and tune Active Batch job workflows for reliable, efficient automation.
• Collaborate with cross-functional teams to resolve data incidents, communicate root cause, and implement preventive measures.

• Document pipeline processes, data flows, and technical specifications to support operational continuity and knowledge transfer.

Data Modeling & Semantic Layer

• Design, develop, and optimize SSAS tabular models and lead migration efforts to Power BI semantic models.
• Build and maintain Power BI semantic models leveraging data from SQL Server; ensure high-performance query execution.
• Write, optimize, and troubleshoot SQL, DAX, and Power Query (M) to support analytics and reporting needs.
• Partner with data engineers to design tables and schemas for optimal analytical performance.
• Document data models, business rules, and data mappings using catalog tooling.
• Ensure smooth daily operations of deployed data models; address outages promptly.

Stakeholder Engagement & Mentorship

• Collaborate with business and technical stakeholders to gather requirements and deliver data products aligned to business needs.
• Train and mentor junior engineers and modelers on best practices for pipeline development, data modeling, and optimization.
• Research and recommend tools, methods, and technologies to continuously improve data engineering and modeling practices. 

• Bachelor Degree in Computer Science, Management Information Systems, Engineering or related field required
• 8 years of combined experience in data engineering and data modeling roles.
• Expert-level proficiency in T-SQL and SQL Server (including stored procedures, views, performance tuning) preferred.
• Hands-on experience with Informatica (PowerCenter or IICS) for ETL pipeline development and support preferred.
• Proven experience managing and troubleshooting ActiveBatch job scheduling and workflow automation  preferred.
• Strong background in SSAS tabular model development and performance optimization  preferred.
• Advanced knowledge of DAX and Power Query (M) for Power BI semantic modeling preferred.
• Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT patterns preferred.
• Strong problem-solving skills with a disciplined approach to root cause analysis and incident resolution preferred. 

Strongly Preferred Qualifications:

• Experience with Azure Data Factory or comparable cloud orchestration platforms.
• Familiarity with Big Query as a data platform for modeling and pipeline development.
• Experience with Azure cloud environments and underlying infrastructure concepts.
• Knowledge of scripting languages such as Python or PowerShell for pipeline automation.
• Familiarity with Oracle SQL, PL/SQL.
• Experience with data catalog tools such as Alation or similar platforms.
• Knowledge of business processes and terminology (e.g., Finance, HR, Project Costing).

• QA/QC mindset with experience validating data accuracy across analytical layers.