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Azure Data Engineer

Eliassen Group

Remote or Almont, Colorado • Today

Contract

Senior Azure Data Engineer

Eliassen Group

Remote or Almont, Colorado • Today

Contract

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Third Party, Contract

Depends on Experience

Eliassen Group

Job Details

Skills

SD
Information Architecture
Information Assurance
Impact Analysis
Data Warehouse
Life Insurance
Datastage
Data Processing
Documentation
Testing
Continuous Improvement
Audio Engineering
Data Engineering
SQL
Python
PySpark
ELT
Workflow
Data Validation
Relational Databases
Data Modeling
Performance Tuning
Git
Version Control
Analytical Skill
Conflict Resolution
Problem Solving
Collaboration
Migration
Extract
Transform
Load
Oracle
Database
IBM InfoSphere DataStage
Data Lake
Databricks
Data Quality
Microsoft Azure
DevOps
Cloud Computing
Continuous Integration
Continuous Delivery
Agile
Scrum
Health Care
Finance
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

SD
Information Architecture
Information Assurance
Impact Analysis
Data Warehouse
Life Insurance
Datastage
Data Processing
Documentation
Testing
Continuous Improvement
Audio Engineering
Data Engineering
SQL
Python
PySpark
ELT
Workflow
Data Validation
Relational Databases
Data Modeling
Performance Tuning
Git
Version Control
Analytical Skill
Conflict Resolution
Problem Solving
Collaboration
Migration
Extract
Transform
Load
Oracle
Database
IBM InfoSphere DataStage
Data Lake
Databricks
Data Quality
Microsoft Azure
DevOps
Cloud Computing
Continuous Integration
Continuous Delivery
Agile
Scrum
Health Care
Finance
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

Description:
Remote in either Remote or MN or ND or SD or WI or IA

Our client seeks an Azure Data Engineer to modernize an enterprise data platform by migrating data and workloads from an on-premises Oracle data warehouse and IBM DataStage environment to a cloud-based Azure data lake architecture. You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, implement data-quality and validation processes, and promote data through medallion architecture layers. You will collaborate with engineers, architects, analysts, and business partners to build reliable, maintainable, and trusted data products. Healthcare or health-plan domain knowledge is beneficial, but strong Azure Databricks and data-platform engineering capabilities are the primary priorities.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $65.00 to $75.00/hr. w2

Responsibilities:

Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
Support the migration of data and ETL workloads from an on-premises Oracle and DataStage environment to an Azure cloud data lake.
Develop scalable ingestion, transformation, and data-processing solutions.
Design and implement medallion architecture patterns across Bronze, Silver, and Gold data layers.
Build data-quality, reconciliation, and validation checks directly into data pipelines and engineering workflows.
Automate validation and testing to improve the reliability of data products.
Troubleshoot pipeline failures, data-quality issues, and performance problems.
Collaborate with engineers, analysts, architects, and business stakeholders to translate requirements into practical data solutions.
Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.
Promote reusable development patterns and sound engineering practices across the team.

Experience Requirements:

Hands-on data engineering experience in enterprise environments.
Demonstrated experience with Azure Databricks and Azure Data Factory.
Strong SQL and Python or PySpark development skills.
Experience designing and developing batch data pipelines and ETL or ELT workflows.
Experience implementing data-quality, data-validation, and reconciliation processes.
Knowledge of medallion or lakehouse architecture, including Bronze, Silver, and Gold data layers.
Experience working with relational databases and large, complex datasets.
Understanding of data modeling, schema design, partitioning, and performance optimization.
Experience with Git or another version-control platform.
Experience working with CI/CD and automated deployment practices.
Analytical, troubleshooting, and problem-solving skills.
Ability to contribute directly to development while providing technical guidance to other team members.
Communication and collaboration skills.
Preferred: Experience migrating platforms or ETL workloads from on-premises to Azure, Oracle databases, IBM DataStage, Azure data lake or lakehouse solutions, Delta Lake and Databricks capabilities, automated data testing and monitoring, Azure DevOps and cloud CI/CD, Agile or Scrum, healthcare or finance data, and regulated enterprise environments.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

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: cxelisen
Position Id: a1WUQ000001wW5N2AU
Posted 11 hours ago

Company Info

About Eliassen Group

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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Eliassen Group

Job Details

Skills

SD
Information Architecture
Information Assurance
Impact Analysis
Data Warehouse
Life Insurance
Datastage
Data Processing
Documentation
Testing
Continuous Improvement
Audio Engineering
Data Engineering
SQL
Python
PySpark
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Analytical Skill
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Data Lake
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Information Architecture
Information Assurance
Impact Analysis
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Life Insurance
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Testing
Continuous Improvement
Audio Engineering
Data Engineering
SQL
Python
PySpark
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Life Sciences
SAP BASIS
Military

Summary

Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
Support the migration of data and ETL workloads from an on-premises Oracle and DataStage environment to an Azure cloud data lake.
Develop scalable ingestion, transformation, and data-processing solutions.
Design and implement medallion architecture patterns across Bronze, Silver, and Gold data layers.
Build data-quality, reconciliation, and validation checks directly into data pipelines and engineering workflows.
Automate validation and testing to improve the reliability of data products.
Troubleshoot pipeline failures, data-quality issues, and performance problems.
Collaborate with engineers, analysts, architects, and business stakeholders to translate requirements into practical data solutions.
Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.
Promote reusable development patterns and sound engineering practices across the team.

Experience Requirements:

Hands-on data engineering experience in enterprise environments.
Demonstrated experience with Azure Databricks and Azure Data Factory.
Strong SQL and Python or PySpark development skills.
Experience designing and developing batch data pipelines and ETL or ELT workflows.
Experience implementing data-quality, data-validation, and reconciliation processes.
Knowledge of medallion or lakehouse architecture, including Bronze, Silver, and Gold data layers.
Experience working with relational databases and large, complex datasets.
Understanding of data modeling, schema design, partitioning, and performance optimization.
Experience with Git or another version-control platform.
Experience working with CI/CD and automated deployment practices.
Analytical, troubleshooting, and problem-solving skills.
Ability to contribute directly to development while providing technical guidance to other team members.
Communication and collaboration skills.
Preferred: Experience migrating platforms or ETL workloads from on-premises to Azure, Oracle databases, IBM DataStage, Azure data lake or lakehouse solutions, Delta Lake and Databricks capabilities, automated data testing and monitoring, Azure DevOps and cloud CI/CD, Agile or Scrum, healthcare or finance data, and regulated enterprise environments.

Dice Id: cxelisen
Position Id: a1WUQ000001wW5N2AU
Posted 11 hours ago

Company Info

About Eliassen Group

Fitment

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Once logged in, be sure to complete your profile to get the most accurate match score.

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