Senior Azure Data Engineer

ManpowerGroup

Baltimore (MD)

Remote

USD 98,000 - 103,000

Full time

14 days+

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Benefits offered by this job

Medical Plan
Dental Plan
Vision Plan
HSA
401(k) Match
Weekly Pay

Job summary

ManpowerGroup is seeking a Sr. Azure Data Engineer to join a leading energy sector organization. This remote role requires supporting Eastern Time business hours and involves building cloud-based data platforms and pipelines using Azure services and Databricks.

You will design ETL/ELT processes, optimize data warehouses and lakes, and translate business needs into technical solutions while collaborating across cross-functional teams.

Qualifications

  • 5+ years of experience with Microsoft Azure cloud services.
  • 3+ years of hands-on experience with Azure Databricks.
  • 5+ years of experience developing solutions using PySpark.
  • 8+ years of experience in data warehousing and data engineering.
  • Advanced SQL development and database design experience.

Responsibilities

  • Design, develop, and support scalable cloud-based data platforms and pipelines using Azure services and Databricks.
  • Build and maintain efficient ETL/ELT processes for structured and unstructured data sources.
  • Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms.
  • Create high-quality, secure, and maintainable data solutions following engineering best practices.
  • Collaborate with stakeholders to translate business requirements into technical solutions and support cloud migration initiatives.

Skills

Azure
Databricks
PySpark
SQL
Data warehousing

Tools

Azure Databricks

Job description

Our client, a leading organization in the energy sector, is seeking a Sr. Data Engineer to join their team. As a Sr. Data Engineer, you will be part of the Data Engineering department supporting cross-functional teams. The ideal candidate will demonstrate strong problem-solving skills, excellent communication, and a collaborative mindset, which will align successfully in the organization.

Job Title:

Sr. Azure Data Engineer

Location:

Remote (Must support Eastern Time business hours)

Pay Range:

$71-75/hr depending on years of experience

What's the Job?
  • Design, develop, and support scalable cloud-based data platforms and pipelines using Azure services and Databricks.

  • Build and maintain efficient ETL/ELT processes for structured and unstructured data sources.

  • Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms.

  • Create high-quality, secure, and maintainable data solutions following engineering best practices.

  • Collaborate with stakeholders to translate business requirements into technical solutions and support cloud migration initiatives.

What's Needed?
  • 5+ years of experience with Microsoft Azure cloud services.

  • 3+ years of hands-on experience with Azure Databricks.

  • 5+ years of experience developing solutions using PySpark.

  • 8+ years of experience in data warehousing and data engineering.

  • Advanced SQL development and database design experience.

What's in it for me?
  • Opportunity to work on innovative cloud-based data solutions in a dynamic environment.

  • Engagement with cutting-edge technologies within the Azure ecosystem.

  • Chance to contribute to impactful projects supporting energy operations.

  • Flexible remote work arrangement supporting work-life balance.

  • Potential for contract extension based on project needs and performance.

Upon completion of waiting period consultants are eligible for:
  • Medical and Prescription Drug Plans

  • Dental Plan

  • Vision Plan

  • Health Savings Account

  • Health Flexible Spending Account

  • Dependent Care Flexible Spending Account

  • Supplemental Life Insurance

  • Short Term and Long Term Disability Insurance

  • Business Travel Insurance

  • 401(k), Plus Match

  • Weekly Pay

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

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