Senior Data Engineer

Job not on LinkedIn

🕒 6 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DISHER

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2000

🚘 Automotive

💼 Consulting

Automotive • Consulting • Engineering

DISHER is a solutions-focused company with over 20 years of experience in making a positive difference through engineering and product development. They offer a range of services including electronics, manufacturing technology, business consulting, and talent solutions with a human-centered and innovative approach. DISHER specializes in solving complex problems with cross-functional teamwork, providing top engineering and technical talent to advance projects. They serve various industries such as Medical, AgTech, and IoT, and are committed to community investment and creating a thriving workplace culture.

📋 Description

• Design, build, test, deploy, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and related services • Architect and manage Azure-based data lake and data warehouse solutions, including ADLS Gen2, Synapse, and Microsoft Fabric • Develop and optimize dimensional, star-schema, normalized, and data-vault models for business intelligence and AI/ML use cases • Partner with AI Engineers to prepare and deliver trusted data for model training, feature stores, retrieval-augmented generation, and inference pipelines • Integrate Azure OpenAI, Azure AI Foundry, Cognitive Services, embeddings, vector databases, and related AI services into data workflows and applications • Contribute to data architecture for AI-driven applications used by internal and external users • Establish and maintain controls for data quality, governance, lineage, access, security, and compliance • Monitor, troubleshoot, and optimize pipeline reliability, performance, and Azure cost efficiency • Translate business and product requirements into practical technical data solutions with Analytics, Product, Engineering, and other stakeholders • Provide technical guidance and mentorship to junior data engineers through code reviews, design discussions, and knowledge-sharing sessions • Help define and enforce data engineering standards, coding conventions, reusable patterns, and best practices • Assist with scoping and estimating data engineering work for sprint planning and project roadmaps

🎯 Requirements

• 4-6 years of experience as a Data Engineer or in a comparable data infrastructure role • Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage Gen2 • Proficiency in SQL and at least one programming language; Python is preferred • Experience building and orchestrating scalable ETL/ELT pipelines • Experience applying data modeling principles, including star schema, normalization, and data vault • Experience supporting model training, feature stores, inference pipelines, or similar AI/ML data workflows • Familiarity with Azure OpenAI Service or comparable LLM integration patterns, including RAG pipelines, embeddings, and vector databases • Experience with Git, CI/CD, testing, and deployment practices • Understanding of data security, compliance, governance, quality, and lineage principles • Experience mentoring engineers, leading small technical initiatives, or serving as a technical point of contact • Formal people-management experience is not required

🏖️ Benefits

• Supportive, collaborative environment • Work-life balance • Professional development opportunities • Technical and personal advancement opportunities • Distributed workplace / remote work arrangement