Data visualization • seattle wa
Hands-on expertise with Azure Databricks, Delta Lake, and Unity Catalog.Strong experience with Power BI semantic modeling, DAX optimization, and security models.Deep knowledge of lakehouse, data wa... Show more
Job Title:</b> Data Engineer</p> <p><b>Location: </b>Bellevue, WA</p> <p><b>Duration: / Term: </b>C2C</p> <p><b>Experience De... Show more
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Every day, hundreds of millions of customers arrive on Amazon's Homepage, search for a product, and land on a detail page.Along the way, some of what we show them is irrelevant — a recommendation t... Show more
Must Have Technical/Functional Skills</b></p> <ul> <li>Data engineer experience, SQL, AWS, Python</li> </ul> <p><b>Roles & Responsibilities</b... Show more
Data Engineer<br /> Seattle, WA 98109<br /> Hire Type: fulltime</div> <div> </div> <div>Salary Range-$120,000-$130,000 a year</div> <div> </div&... Show more
UTR Planning Tech builds the data infrastructure that powers labor planning across 12 Amazon last-mile and sort-center business lines.Our pipelines feed the planning systems that determine how Amaz... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
Manager For The Data & Ai Team.Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, pr... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
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Job Title: AI & Data - Data Engineer.Ingest and process data from Client (Investments), Dynamics & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (, Health, E... Show more
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At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical ... Show more
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AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
Be a part of our success story.At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment.We invest in our people throu... Show more
The average salary range is between $ 90,000 and $ 179,375 year , with the average salary hovering around $ 119,000 year .
The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 year .
Job Description
Required Qualifications
12+ years of experience in data architecture, data warehousing, or analytics platform engineering.
Hands-on expertise with Azure Databricks, Delta Lake, and Unity Catalog.
Strong experience with Power BI semantic modeling, DAX optimization, and security models.
Deep knowledge of lakehouse, data warehouse, and distributed data processing architectures.
Proven experience implementing data governance and data quality frameworks at enterprise scale.
Strong understanding of cloud security, IAM, RBAC, and compliance controls.
Excellent communication skills with the ability to translate business requirements into technical architecture.
Preferred Qualifications
Experience with CI/CD tooling (Azure DevOps, GitHub Actions) for data platforms.
Familiarity with Azure-native services and enterprise cloud standards.
Experience supporting multi-tenant or multi-domain analytics platforms.
Background in retail, consumer goods, supply chain, or financial analytics.
Job Responsibilities
Architect and own Azure Databricks Lakehouse solutions using Medallion architecture (Bronze/Silver/Gold).
Define ingestion patterns using Fivetran, REST APIs, SFTP, CDC, and incremental load strategies.
Design canonical, dimensional, and semantic data models optimized for analytical workloads.
Establish Power BI semantic layer standards including datasets, DAX measures, calculation groups, and composite models.
Implement enterprise KPI governance, metric versioning, and certified dataset patterns.
Operationalize data governance frameworks covering data quality, metadata management, lineage, and stewardship.
Leverage Unity Catalog for centralized metadata, RBAC, row-level and object-level security, auditing, and lineage.
Define data quality rules, validation checks, reconciliation logic, and observability metrics.
Design CI/CD pipelines for Databricks notebooks, jobs, and Power BI artifacts across Dev/Test/Prod environments.
Optimize performance through partitioning, clustering, caching, and query optimization techniques.
Ensure compliance with enterprise data classification, privacy, retention, and regulatory standards.
Review and approve solution designs, data models, and transformation logic from engineering teams.
Mentor data engineers and analysts on architecture, modeling, governance, and best practices.
Establish and operationalize a Data Governance framework covering data ownership, stewardship, quality, metadata, lineage, and lifecycle management.
Define and enforce data standards, policies, and controls to ensure data consistency, trust, and regulatory compliance across the enterprise.
Leverage Unity Catalog to implement centralized governance for metadata management, access control, auditing, and data lineage.
Partner with business and technology stakeholders to drive KPI standardization, certified datasets, and data quality accountability.
Ensure governance is embedded into the data platform through automated controls, validation rules, and secure access patterns.
