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Job Details

Skills

Risk Management
Customer Relationship Management (CRM)
Onboarding
Cloud Computing
Financial Services
Regulatory Compliance
Storage
Workflow
Data Storage
Finance
Data Engineering
Data Integration
Python
SQL
Performance Tuning
Data Structure
Extract
Transform
Load
ELT
Microsoft Azure
Databricks
Microsoft SQL Server
Enterprise Storage
Data Quality
Analytical Skill
Documentation
Communication
Collaboration
DICE

Summary

Be Part Of A High-Performing Team:

Join the technology organization of a global financial institution known for disciplined risk management, long-term client relationships, and continued investment in modern data capabilities. This role supports a compliance technology group responsible for delivering trusted, scalable data solutions in a highly regulated environment. The team is building modern ingestion, transformation, and storage capabilities that improve access to reliable metrics and support the onboarding of new enterprise datasets.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This hybrid opportunity offers the chance to contribute to a visible data modernization initiative while working with Azure cloud technologies, Databricks, and enterprise data platforms. The position provides hands-on exposure to complex financial-services data, compliance technology, scalable pipeline development, and data quality practices within a collaborative technical environment.

How You Will Make An Impact:

Design and develop scalable data ingestion, transformation, and storage pipelines.
Build and maintain ETL and ELT workflows using Azure Data Factory, Python, and SQL.
Process data across Databricks Medallion Architecture layers, including staging, curated, and consumption-ready datasets.
Support the development and enhancement of a centralized metrics repository.
Onboard new datasets while ensuring accuracy, completeness, consistency, and traceability.
Optimize data storage, transformation logic, and pipeline performance for large-volume processing.
Troubleshoot data issues and collaborate with technical and business stakeholders to deliver reliable data products.
Apply data quality controls and development standards appropriate for a regulated financial environment.

Do you bring proven success in Azure data engineering and scalable ETL development?

5-7 years of relevant experience in data engineering, data integration, ETL development, or a comparable technical discipline.
Strong hands-on programming experience with Python.
Advanced SQL skills, including complex queries, data transformations, performance tuning, and relational data structures.
Practical experience designing and supporting ETL or ELT pipelines with Azure Data Factory.
Experience working with Azure Databricks and layered data architectures, preferably the Medallion Architecture.
Knowledge of SQL Server, staging environments, data repositories, and enterprise storage solutions.
Demonstrated ability to validate data quality and resolve ingestion, transformation, and reconciliation issues.
Experience building scalable pipelines that process large volumes of structured or semi-structured data.
Strong analytical, troubleshooting, documentation, and communication skills.
Ability to work effectively in a hybrid environment and collaborate across technical and business teams.

#dice

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91004229
Position Id: lQmmF1Lwxsgv
Posted 30+ days ago

Company Info

About Axiom Path

Axiom Path is a minority-owned global solutions provider committed to helping organizations drive value-driven results and transformative success through our Enterprise Talent Solutions, Consulting, and Advisory Services.

We leverage proprietary AI tools and technologies, along with our award-winning team of experienced industry experts, to deliver tailored solutions that meet our clients’ needs and drive businesses forward.

Job Details

Skills

Risk Management
Customer Relationship Management (CRM)
Onboarding
Cloud Computing
Financial Services
Regulatory Compliance
Storage
Workflow
Data Storage
Finance
Data Engineering
Data Integration
Python
SQL
Performance Tuning
Data Structure
Extract
Transform
Load
ELT
Microsoft Azure
Databricks
Microsoft SQL Server
Enterprise Storage
Data Quality
Analytical Skill
Documentation
Communication
Collaboration
DICE

Summary

Design and develop scalable data ingestion, transformation, and storage pipelines.
Build and maintain ETL and ELT workflows using Azure Data Factory, Python, and SQL.
Process data across Databricks Medallion Architecture layers, including staging, curated, and consumption-ready datasets.
Support the development and enhancement of a centralized metrics repository.
Onboard new datasets while ensuring accuracy, completeness, consistency, and traceability.
Optimize data storage, transformation logic, and pipeline performance for large-volume processing.
Troubleshoot data issues and collaborate with technical and business stakeholders to deliver reliable data products.
Apply data quality controls and development standards appropriate for a regulated financial environment.

Do you bring proven success in Azure data engineering and scalable ETL development?

5-7 years of relevant experience in data engineering, data integration, ETL development, or a comparable technical discipline.
Strong hands-on programming experience with Python.
Advanced SQL skills, including complex queries, data transformations, performance tuning, and relational data structures.
Practical experience designing and supporting ETL or ELT pipelines with Azure Data Factory.
Experience working with Azure Databricks and layered data architectures, preferably the Medallion Architecture.
Knowledge of SQL Server, staging environments, data repositories, and enterprise storage solutions.
Demonstrated ability to validate data quality and resolve ingestion, transformation, and reconciliation issues.
Experience building scalable pipelines that process large volumes of structured or semi-structured data.
Strong analytical, troubleshooting, documentation, and communication skills.
Ability to work effectively in a hybrid environment and collaborate across technical and business teams.

#dice

Dice Id: 91004229
Position Id: lQmmF1Lwxsgv
Posted 30+ days ago

Company Info

About Axiom Path

Senior Python Data Engineer #3606832

Charlotte, North Carolina

•

Today

Be Part Of A High-Performing Team: Join a technology team supporting a leading financial services environment where data-driven systems, scalable applications, and reliable engineering practices are critical to business operations. This team works across technical and business groups to build solutions that collect, process, and deliver large volumes of data for analysis, reporting, and downstream application needs. The environment is collaborative, fast-moving, and suited for a senior engineer

Easy Apply

Full-time

Azure Data Engineer - Databricks & Data Factory 3638337

Skills

Summary

Dice Job Match Score™

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Azure Data Engineer - Databricks & Data Factory 3638337

Axiom Path

Job Details

Skills

Summary

Company Info

About Axiom Path

Dice Job Match Score™

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