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Internship Financial Data Engineer Jobs in Missouri

Jobgether

$94K - $124K/yr

Build integrations across ERP, manufacturing, finance, and quality management systems while ... Requirements * 6+ years of experience in data engineering, business intelligence, cloud data ...

New

ESS Companies

Senior Data Engineer

Columbia, MO · On-site

$100K - $137K/yr

... engineer above you reviewing every decision. We're looking for someone ready to own the whole ... Partner directly with Finance, HR, and Operations leaders to translate business needs into data ...

ESS Companies

Senior Data Engineer

Columbia, MO · On-site

$100K - $137K/yr

... engineer above you reviewing every decision. We're looking for someone ready to own the whole ... Partner directly with Finance, HR, and Operations leaders to translate business needs into data ...

Emery Sapp & Sons, Inc

Senior Data Engineer

Columbia, MO · On-site

$100K - $137K/yr

... engineer above you reviewing every decision. We're looking for someone ready to own the whole ... Partner directly with Finance, HR, and Operations leaders to translate business needs into data ...

Emery Sapp & Sons, Inc

Senior Data Engineer

Kansas City, MO · On-site

$103K - $140K/yr

... engineer above you reviewing every decision. We're looking for someone ready to own the whole ... Partner directly with Finance, HR, and Operations leaders to translate business needs into data ...

Emery Sapp and Sons, Inc.

Senior Data Engineer

Columbia, MO · On-site

$100K - $137K/yr

... engineer above you reviewing every decision. We're looking for someone ready to own the whole ... Partner directly with Finance, HR, and Operations leaders to translate business needs into data ...

ESS Companies

Senior Data Engineer

Kansas City, MO

$103K - $140K/yr

... engineer above you reviewing every decision. We're looking for someone ready to own the whole ... Partner directly with Finance, HR, and Operations leaders to translate business needs into data ...

Jobgether

$94K - $124K/yr

Build and maintain backend services, APIs, and infrastructure components that support financial ... engineering environment. Nice-to-have qualifications include: * Experience working with market data ...

New

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Internship Financial Data Engineer information

What are the key skills and qualifications needed to thrive as an internship financial data engineer?

To thrive as an Internship Financial Data Engineer, you need a solid grasp of statistics, programming (especially Python or R), and foundational knowledge of finance or economics, typically supported by relevant coursework or a related degree. Familiarity with data visualization tools (like Tableau), SQL databases, and cloud platforms such as AWS or Azure is often expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with teams. These abilities are crucial for transforming raw financial data into actionable insights and supporting data-driven decision-making in financial organizations.

What is the difference between Internship Financial Data Engineer vs Financial Data Analyst?

AspectInternship Financial Data EngineerFinancial Data Analyst
Required CredentialsCurrently pursuing or recently completed a degree in finance, data science, or related fields; some programming knowledgeBachelor's degree in finance, economics, or related fields; proficiency in data analysis tools
Work EnvironmentInternship setting, often in finance or tech companies, focusing on data pipeline developmentOffice environment, analyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by financial institutions, tech firms, and investment companies for data engineering tasksCommon in banks, investment firms, and corporate finance departments for data analysis

The main difference is that an Internship Financial Data Engineer focuses on building and maintaining data infrastructure during an internship, often involving programming and data pipeline work. In contrast, a Financial Data Analyst primarily interprets and reports on financial data to support business decisions. Both roles require a strong understanding of finance and data tools but differ in their core responsibilities and work environment.

What does an internship financial data engineer do?

An Internship Financial Data Engineer assists in building and maintaining data systems that support financial analysis and decision-making. They work with large datasets, help develop data pipelines, and ensure data quality and integrity for financial applications. Interns may use programming languages like Python or SQL, and tools such as databases and cloud platforms, to process and analyze financial data. Their work supports the broader data engineering team and helps improve the efficiency of financial data management within the organization.
What are the most commonly searched types of Financial Data Engineer jobs in Missouri? The most popular types of Financial Data Engineer jobs in Missouri are:
What are popular job titles related to Internship Financial Data Engineer jobs in Missouri? For Internship Financial Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Internship Financial Data Engineer jobs in Missouri look for? The top searched job categories for Internship Financial Data Engineer jobs in Missouri are:
Internship Financial Data Engineer jobs near you

Senior Azure/Fabric Data Engineer

Jobgether

Remote

$94K - $124K/yr

Contractor

Posted yesterday

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Azure/Fabric Data Engineer based in Netherlands.

Join a strategic data transformation initiative where you will help design and shape a modern Azure and Microsoft Fabric data platform supporting business-critical operations. In this senior role, you will combine hands-on data engineering expertise with solution architecture and stakeholder advisory, helping define scalable, cost-effective data solutions across finance, supply chain, manufacturing, and business intelligence. Working closely with both technical and business teams, you will assess existing environments, recommend architectural improvements, and contribute to implementation following the discovery phase. This position offers significant ownership, exposure to enterprise-scale cloud technologies, and the opportunity to influence long-term data strategy within a collaborative, fully remote environment.

Accountabilities
  • Assess the current Azure and Microsoft Fabric data environment, identifying opportunities to improve scalability, performance, governance, and cost efficiency.
  • Define target data architecture, implementation roadmaps, and technology recommendations that align with business and technical requirements.
  • Design and implement modern ETL/ELT solutions using medallion architecture principles, metadata-driven frameworks, and cloud-native data engineering best practices.
  • Build integrations across ERP, manufacturing, finance, and quality management systems while ensuring reliable and scalable data pipelines.
  • Develop Power BI semantic models, dimensional data models, and governance standards to enable high-quality reporting and analytics.
  • Collaborate with business stakeholders and technical teams throughout discovery, architecture planning, and implementation, providing clear technical guidance and solution recommendations.
  • Support the transition from discovery into full-scale platform implementation, contributing hands-on engineering expertise throughout delivery.
Requirements
  • 6+ years of experience in data engineering, business intelligence, cloud data platforms, or related fields.
  • Strong hands-on expertise with Azure Data Factory, Azure Data Lake Storage Gen2, and Microsoft Fabric, including Lakehouse and Warehouse capabilities.
  • Advanced SQL/T-SQL skills combined with experience using Python and/or PySpark for data engineering workloads.
  • Proven experience designing ETL/ELT pipelines, medallion architectures, dimensional models, and enterprise data integration solutions.
  • Strong Power BI expertise, including DAX, semantic models, tabular modeling, and data visualization best practices.
  • Experience using Git, Azure DevOps, and CI/CD pipelines within modern data engineering environments.
  • Exposure to solution architecture, discovery workshops, technical assessments, platform design, or technology selection.
  • Excellent English communication skills with the ability to engage effectively with both business and technical stakeholders.
  • Experience with Microsoft Fabric capacity optimization, metadata-driven ETL frameworks, multi-ERP integrations, Purview, Databricks, Synapse, or regulated manufacturing and pharmaceutical environments is considered an advantage.
Benefits
  • Fully remote contract opportunity for Europe-based professionals.
  • Opportunity to lead the architecture and development of a modern Microsoft Azure and Fabric data platform.
  • High level of ownership with direct influence on enterprise data strategy and technology decisions.
  • Potential to transition from an initial part-time discovery phase into a full-time implementation engagement.
  • Exposure to modern cloud technologies, enterprise data architecture, and large-scale digital transformation initiatives.
  • Collaborative international environment with close interaction between business stakeholders and technical teams.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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