Job Description
Total eBiz LLC is looking for a motivated and technically capable Data Engineer to join its team on a fully remote basis, supporting business intelligence and data-driven decision-making through robust data pipeline and infrastructure development. As a technology consulting and staffing firm with deep expertise in B2B integration, EDI operations, and enterprise technology solutions, Total eBiz LLC places skilled professionals with clients across the US, Canada, and international markets. This is a strong opportunity for an early-to-mid career data engineer with one to three years of experience who is ready to build, maintain, and optimise data infrastructure in a cloud-native environment.
In this role, you will develop and maintain scalable data pipelines that power reliable data delivery across the business. You will process, clean, and transform large datasets, design and optimise data storage solutions, and ensure data quality, consistency, and reliability at every stage of the pipeline. Supporting reporting and analytics requirements will also be a key part of your responsibilities, as will collaborating closely with data analysts, engineers, and business teams to ensure outputs meet operational and strategic needs.
The ideal candidate brings one to three years of experience in data engineering or a closely related role, with strong proficiency in Python and SQL. You have hands-on experience with ETL processes and data integration tools, a solid understanding of databases and data warehousing concepts, and familiarity with cloud-based data platforms such as AWS, Azure, or GCP. Strong analytical and problem-solving skills are essential, as is the ability to work independently in a fully remote environment while coordinating effectively with cross-functional teams.
Total eBiz LLC offers an attractive salary with incentives, remote work flexibility, the opportunity to work on modern data and cloud technologies, and a collaborative, innovation-driven work culture with genuine career growth and learning opportunities.
Apply Now:
To apply, share your CV to info@totalebiz.com
When submitting your application, ensure your CV clearly highlights your experience in data engineering, the programming languages and tools you have worked with, your cloud platform exposure, and specific examples of pipelines or data infrastructure you have built or maintained. Your cover letter should explain why you are drawn to the Data Engineer role at Total eBiz LLC and reflect your technical depth and ability to work independently in a remote, internationally oriented environment. Feel free to forward this opportunity to anyone in your network who may be a strong fit.
About Us:
Total eBiz LLC is a technology consulting and staffing firm headquartered in Sugar Land, Texas, specialising in IBM Sterling B2B integration products, electronic data interchange operations, and top-tier technology recruitment solutions. The company is led by CEO David Dhanjal, who brings over 26 years of experience in the EDI industry, and HR and Business Partner Paul Dhanjal, who contributes 36 years of expertise spanning IT support, development, HR, and recruitment consultancy across industries including banking, oil and gas, manufacturing, and logistics. Total eBiz LLC provides a comprehensive suite of services including EDI consulting, managed services and outsourcing, talent acquisition partnership, permanent recruitment, contract and contingent staffing, executive search, and recruitment process outsourcing. The company serves clients across the USA, Canada, Mexico, and Latin America, delivering tailored EDI and AI consulting solutions alongside staffing services designed to help organisations meet their business objectives and overcome talent challenges. Total eBiz LLC combines deep industry knowledge, extensive professional networks, and rigorous recruitment methodologies to identify and deliver talent that integrates seamlessly into client teams and supports long-term growth.
Remote - Australia
Category
Experience
Career Level
Required Qualification
Bachelor Degree or relevant
Requires Traveling:
No
Salary
Salary Not disclosed
Salary Type
Per Month
Total Vacancies
1
Skills
data engineeringpython programmingsqletl developmentdata pipelinesdata integrationapache airflowapache sparkapache kafkadata warehousingdata modellingdata transformationdata quality managementdata consistencydata reliabilityawsazuregcpcloud data platformsamazon redshiftgoogle bigqueryazure synapsesnowflakedatabricksdatabase managementpostgresqlmysqlnosql databasesdata storage optimisationbusiness intelligence supportreporting supportanalytics supportdbtdata orchestrationversion controlgitci/cd basicsdata governance awarenessapi integration basicslarge dataset processingdata cleaninganalytical skillsproblem-solvingremote work disciplinecross-functional collaborationwritten communicationdocumentationattention to detailtime management
