Azure Data / Databricks Engineer

🏢 AIS (Applied Information Sciences) · all 9 jobs
📍 United States
💰 USD 195,000 - 210,000 / annual
📅 Posted Sep 13, 2026 · via Himalayas
🏷 Azure Data Engineering, Databricks Engineer, Cloud Data Platform Engineer, ETL Elt Engineer, Data Pipeline Engineer, Azure Data Engineer +8 more
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Why AIS?

When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

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Employee Ownership : Your contributions directly impact the company’s success, and you share in its achievements.

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Continuous Learning : Access to resources, training, and mentorship to support your professional growth.

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Inclusive Culture : A workplace where diversity is celebrated, and everyone’s voice is valued.

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Mission-Driven Work : Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Software Architect.
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Core Knowledge & Skills: Operates as a multi-domain subject matter expert (e.g., Security, Data) with industry depth, defines enterprise patterns, and guides adoption across solutions.

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Work & Complexity: Plans and directs the most complex, cross-functional, mission-critical initiatives, and evaluates industry standards to drive innovation and intellectual property.

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Quality & Independence: Acts independently with organization-wide influence, sets visionary bars for quality, reliability, and delivery practices.

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Teamwork & Communication: Models company values, mentors across the organization, builds formal networks with decision makers, and serves as an external spokesperson.

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Consulting & Engagement: Advises executives on strategy, steers long-range planning and new lines of business, and delivers thought-leading presentations at the highest technical level.

As your initial project assignment, you will support the unique needs of our client as a Azure Data / Databricks Engineer. Project Summary

AIS is seeking an Azure Data / Databricks Engineer to build secure, reliable Azure data pipelines and analytics foundations that modernize legacy Oracle workloads and enable governed reporting and analytics for a federal customer.
Key Responsibilities

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Design and implement ingestion, transformation, and data-quality pipelines using ADLS Gen2, Azure Databricks, and approved orchestration services.

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Migrate and modernize Oracle data workloads while preserving lineage, reconciliation, security, and performance requirements.

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Develop medallion-style data models, notebooks, jobs, monitoring, and operational support practices.

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Collaborate with business and BI teams on curated data sets, Power BI integration, and data-consumption standards.

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Implement secure identity, network, storage, and access patterns appropriate for Azure Government environments.

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Document pipeline operations, data quality checks, recovery procedures, and support handoff materials.

Required For This Opportunity

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5+ years in data engineering, ETL/ELT, or analytics-platform delivery.

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Hands-on experience with Azure Databricks, ADLS Gen2, SQL, Python, and data-pipeline orchestration.

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Experience migrating relational or Oracle data workloads to cloud data platforms.

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Knowledge of data modeling, data quality, reconciliation, monitoring, and performance optimization.

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Strong problem-solving and stakeholder-communication skills.

Nice to Have Skills

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Azure Government or regulated data-platform experience.

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Power BI, Unity Catalog, Delta Lake, or Azure Data Factory experience.

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Databricks or Azure Da

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