Data Engineer (Remote - US) - job 1 of 16

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in the United States.

This role offers an opportunity to design, build, and optimize data systems that drive actionable insights and support strategic decision-making. You will work in a dynamic, remote-friendly environment, contributing to large-scale data pipelines, cloud-based platforms, and analytics solutions. The ideal candidate will combine deep technical expertise with strong problem-solving skills to transform raw data into meaningful information. You will collaborate with cross-functional teams to ensure data availability, reliability, and security while staying ahead of emerging technologies and best practices. This is a chance to make a tangible impact on digital innovation and help shape the organization’s data strategy.

Accountabilities:

• Design, develop, and maintain robust data systems and pipelines across SQL, NoSQL, and cloud-based platforms.
• Analyze and organize raw data to support reporting, analytics, and operational needs.
• Conduct complex data analysis to identify trends, patterns, and actionable insights.
• Define high-level migration plans and propose innovative solutions to improve existing data architecture.
• Drive cost-effective and performance-driven solutions using elastic architectures in cloud environments such as Microsoft Azure, including Cosmos DB, Azure Data Factory, and Databricks.
• Promote reuse of data assets, including management of data catalogs and ensuring adherence to best practices.
• Collaborate with leadership to present cost/benefit analyses and influence architectural decisions.

• Extensive knowledge of data principles, processes, patterns, and practices.
• Experience in SQL database design, data modeling, and building data pipelines.
• Strong understanding of network and data security architecture.
• Experience with SQL and NoSQL applications on Big Data platforms.
• Proficiency in cloud-based data platforms and tools, particularly Microsoft Azure, Databricks, and Azure Data Factory.
• Knowledge in at least two of the following: data warehousing, analytics development, APIs, data integration, data management, cloud platforms, servers/storage, or database management.
• Strong analytical and problem-solving skills, with the ability to interpret complex datasets and communicate insights effectively.
• Preferred: operational data science, machine learning, AI solutions, or data engineering certifications (e.g., IBM Certified Data Engineer).

• Competitive salary and opportunities for career growth and skill development.
• Fully remote work environment with flexible scheduling.
• Exposure to cutting-edge data technologies and cloud platforms.
• Collaboration with a talented, cross-functional team of engineers, analysts, and business partners.
• Opportunity to make a tangible impact on business decisions and digital innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps, including interviews or additional assessments, are then made by their internal hiring team.

Thank you for your interest!

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