Azure Data Engineer, Databricks

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $195k - $210k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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AIS (Applied Information Sciences)

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1982

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

AIS (Applied Information Sciences) is a mission-focused and outcome-oriented organization that specializes in AI and automation, cloud adoption, application innovation, and data and analytics. As a leading Microsoft partner, AIS helps transform businesses and solve complex problems with its expertise in cloud solutions, infrastructure, and application development. They cater to various industries, including commercial, financial services and insurance, healthcare and life sciences, energy and utilities, and government sectors. With their advanced data solutions and cloud capabilities, AIS guides businesses in their digital transformation journeys while improving productivity and unlocking new opportunities for growth.

📋 Description

• Build secure, reliable Azure data pipelines and analytics foundations for a federal customer • Design and implement ingestion, transformation, and data-quality pipelines using ADLS Gen2, Azure Databricks, and approved orchestration services • Migrate and modernize Oracle data workloads while preserving lineage, reconciliation, security, and performance • Develop medallion-style data models, notebooks, jobs, monitoring, and operational support practices • Collaborate with business and BI teams on curated datasets, Power BI integration, and data-consumption standards • Implement secure identity, network, storage, and access patterns for Azure Government environments • Document pipeline operations, data-quality checks, recovery procedures, and support handoff materials

🎯 Requirements

• 5+ years in data engineering, ETL/ELT, or analytics-platform delivery • Hands-on experience with Azure Databricks, ADLS Gen2, SQL, Python, and data-pipeline orchestration • Experience migrating relational or Oracle data workloads to cloud data platforms • Knowledge of data modeling, data quality, reconciliation, monitoring, and performance optimization • Strong problem-solving and stakeholder-communication skills • Azure Government or regulated data-platform experience (nice to have) • Power BI, Unity Catalog, Delta Lake, or Azure Data Factory experience (nice to have) • Databricks or Azure Data Engineer certification (nice to have)

🏖️ Benefits

• Employee ownership • Access to resources, training, and mentorship for professional growth • Inclusive culture • Mission-driven work • Competitive and fair compensation