Data Engineer Position Available In Jefferson, Alabama
Tallo's Job Summary: The Data Engineer role offers a competitive compensation of $40 - $45/hour. Responsibilities include designing, building, and optimizing data pipelines, transforming complex data into usable formats, and collaborating with teams to align solutions with objectives. Requirements include familiarity with Power Platform tools, strong data management skills, and experience in Azure environments.
Job Description
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