Data Engineer

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📍 United States

📅 Posted 2026-07-10 · via Himalayas

🏷 Data-Engineering,Cloud-Data-Engineering,Data-Pipeline-Engineering,Database-Engineering,Azure-Data-Engineering,Data-Engineer,Data-Engineering-Specialist,AI-Data-Engineer,Data-Engineering-Positions,Cloud-Data-Engineer

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Job Title : Data Engineer
Location : Remote
Duration : 12 months
Job Description
Minimum Position Qualifications:

- Extensive knowledge of data principles, patterns, processes, and practices

- Any experience defining evolutionary data solutions and underlying technologies

- Experience with SQL database design, data modeling

- Analyze and organize raw data

- Build data systems and pipelines

- Evaluate business needs and objectives

- Interpret trends and patterns

- Conduct complex data analysis and report on results

- Demonstrated written and oral communication skills

- Basic understanding of network and data security architecture

- Strong knowledge of industry trends

- Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management

- Experience building cost effective and performance driven solutions using elastic architectures in Microsoft Azure leveraging Cosmos, Azure Data Factory and Databricks Platforms.

- Experience with SQL and NoSQL applications on Big Data Platforms

Desired Previous Experience/Education:

- Any experience with operational data science, machine learning or artificial intelligence solutions

- Any experience with data science solutions or platforms

- Data engineering certification (e.g IBM Certified Data Engineer) is a plus

Key Responsibilities
Essential Job Functions:

- Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms

- Define high-level migration plans to address the gaps between the current and future state

- Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions

- Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement

- Promote the reuse of data assets, including the management of the data catalog for reference

Originally posted on Himalayas

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