DATA ENGINEER Position Available In Jefferson, Alabama

Tallo's Job Summary: The Data Engineer position in Birmingham, AL offers a contract-to-hire opportunity with a pay rate of $40 - $45/hour. Responsibilities include designing, building, and optimizing data pipelines, transforming complex data, and creating Power Platform components. The role requires familiarity with Power BI, Power Automate, and Azure environments, along with experience in data solution design.

Company:
ITAC Solutions
Salary:
$88400
JobFull-timeOnsite

Job Description

DATA ENGINEER

BIRMINGHAM, AL – ONSITE

Job ID:

36346

Posted:

2025-04-25

Employment Type:

Contract-to-Hire

Pay Rate:

$45 Hour Are you passionate about turning raw data into powerful, scalable solutions that drive decision-making? Our client is searching for a dynamic Data Engineer to architect and elevate modern data pipelines—empowering cross-functional teams with accessible, actionable insights. Your work will directly influence business strategy and fuel innovation across the enterprise. Benefits & Extras Work in a collaborative, insight-driven environment
Opportunity to shape and scale data infrastructure from the ground up
Direct access to executive and strategic decision-makers
Exposure to cutting-edge Azure cloud and Power Platform technologies
Be part of a team that values innovation, autonomy, and transparency

Compensation:

$40 – 45/hour

What You’ll Be Doing:

Design, build, and maintain scalable data pipelines for automated workflows
Optimize data delivery and infrastructure for performance and security
Transform complex data from multiple sources into clean, usable formats using SQL
Create Power Platform components for data input and output automation
Partner with business and technical teams to align data solutions with key objectives
Build tools to deliver insights on customer behavior and operational performance
Support infrastructure across multiple databases, servers, and Azure regions What You’ll Need to be Considered Familiarity with Power BI, Power Automate, and Power Platform tools
Ability to create data tools supporting transformation, metadata, and workload management
Strong knowledge of unstructured data sets and optimization techniques
Proven experience designing scalable data solutions within Azure environments #INDIT

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