Data and Analytics Engineer

Deerfield, WI - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data and Analytics Engineer
Primary Location: REMOTE
Position Type: Contract - CTH

Overview

TalentFish is casting a line for a Data & Analytics Engineer. This is a contract - CTH remote role with the company based in Illinois.

The reason this position exists is to provide data engineer and analytics support to a fast-paced project. The role uses SQL Power Platform MS Dynamics Power BI to make complex data into actionable insights and ensures seamless data governance and infrastructure across Azure Databricks and Microsoft Fabric environments.

What You Bring to the Role. (Ideal Experience)

68 years of relevant experience in data engineering analytics or a related field.
Undergraduate degree or equivalent combination of education and experience.
Strong technical expertise in data engineering data architecture and infrastructure technologies.
Solid understanding of SQL Microsoft Fabric Azure Databricks OneLake Power BI Power Platform.
Experience in Azure DevOps including Boards Repos Pipelines Test Plans and Artifacts.
Proven ability to perform as a data engineer in a fast-paced project team.
Experience managing or collaborating with offshore teams through Application Managed Services (AMS).
Strong data engineering analytical and problem-solving skills.
Excellent communication leadership and interpersonal skills with the ability to engage stakeholders at all organizational levels.

What Youll Do. (Skills Used in this Position)

Develop data collection modeling and analysis strategies to inform executive decision-making.
Design and execute cross-functional projects using advanced data analysis techniques to provide client insights that drive efficiencies.
Support the development and implementation of data governance and security strategies across Azure Databricks and Microsoft Fabric.
Facilitate integration between Databricks and Fabric via OneLake shortcuts and Delta Sharing to prevent data fragmentation.
Support data engineering analytics and data science teams in building robust and scalable data solutions.
Leverage AI capabilities and business intelligence tools to enhance reporting and strategic insight.
Manage and optimize data environmentsdefining environments managing ALM processes and ensuring system stability and performance.
Support environment planning deployment updates and compliance with security and regulatory standards.
Direct the data request and prioritization process ensuring efficient delivery and continuous improvement.
Prepare reports and presentations to executives and management teams highlighting business functions key metrics and performance trends.
Manage lifecycle and performance optimization across multiple data systems.

Compensation Information
The expected salary range for this position is $65-$75/hr depending on experience and qualifications. This role also qualifies for comprehensive benefits such as health insurance 401(k) and paid time off.
TalentFish is committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations.
This role requires authorization to work in the U.S. without current or future visa sponsorship.
All offers are contingent upon the completion of a background check which may include but is not limited to reference checks education verification employment verification drug testing criminal records checks and any required certifications or compliance requirements based on the end clients background check policies and applicable laws.
TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI video screening and our unique platform. TalentFish focuses on providing the best employee consultant and client experience possible.
At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity!

Job Title: Data and Analytics EngineerPrimary Location: REMOTEPosition Type: Contract - CTH Overview TalentFish is casting a line for a Data & Analytics Engineer. This is a contract - CTH remote role with the company based in Illinois. The reason this position exists is to provide data engineer and...

Job Title: Data and Analytics Engineer
Primary Location: REMOTE
Position Type: Contract - CTH

Overview

TalentFish is casting a line for a Data & Analytics Engineer. This is a contract - CTH remote role with the company based in Illinois.

What You Bring to the Role. (Ideal Experience)

68 years of relevant experience in data engineering analytics or a related field.
Undergraduate degree or equivalent combination of education and experience.
Strong technical expertise in data engineering data architecture and infrastructure technologies.
Solid understanding of SQL Microsoft Fabric Azure Databricks OneLake Power BI Power Platform.
Experience in Azure DevOps including Boards Repos Pipelines Test Plans and Artifacts.
Proven ability to perform as a data engineer in a fast-paced project team.
Experience managing or collaborating with offshore teams through Application Managed Services (AMS).
Strong data engineering analytical and problem-solving skills.
Excellent communication leadership and interpersonal skills with the ability to engage stakeholders at all organizational levels.

What Youll Do. (Skills Used in this Position)

Develop data collection modeling and analysis strategies to inform executive decision-making.
Design and execute cross-functional projects using advanced data analysis techniques to provide client insights that drive efficiencies.
Support the development and implementation of data governance and security strategies across Azure Databricks and Microsoft Fabric.
Facilitate integration between Databricks and Fabric via OneLake shortcuts and Delta Sharing to prevent data fragmentation.
Support data engineering analytics and data science teams in building robust and scalable data solutions.
Leverage AI capabilities and business intelligence tools to enhance reporting and strategic insight.
Manage and optimize data environmentsdefining environments managing ALM processes and ensuring system stability and performance.
Support environment planning deployment updates and compliance with security and regulatory standards.
Direct the data request and prioritization process ensuring efficient delivery and continuous improvement.
Prepare reports and presentations to executives and management teams highlighting business functions key metrics and performance trends.
Manage lifecycle and performance optimization across multiple data systems.