Data visualization • bellevue 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: Data Analyst - IT/Data Analyst IV.Duration: 06 months of contract on W2.Data Quality Improvement: Define standards for data collection, consistency, and automation; improve accuracy and ... Show more
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
Currently seeking a detail-oriented and efficient Data Entry Operator to join our team.As a Data Entry Operator, you will be responsible for accurately inputting and managing data into our computer... Show more
NET Experience <p dir="ltr"><b>Position:</b> Full-Time<br /> <b>Location:</b> Redmond, WA<br /> <b>Experience:</b> 5+ years</p>... 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
Overview </b></div> </div> <div> <div> </div> </div> <div> <div>TekWissen is a global workforce management provider headquartered in Ann Arbor... Show more
Examples of key problems the team is working on:.Lead the design, development, and execution of 10s to 100s of GWs of data centers this decade.Drive the next generation of liquid cooling and electr... Show more
Location: Seattle, WA or Los Angeles, CA - need to be in this area in case of a client meeting.Job type: Salaried, Full-time with benefits - no contracting.Visa Type: Any work authorization - Clien... 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
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
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta.You will play a critical role in helping Meta build the platforms of the future.You will partner with the pro... 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
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
Position is Subject to Contract Award POSITION DESCRIPTION:Description of Duties:Compile and organize existing large spatial and temporal datasets for evaluating effects of management actions on ma... Show more
No prior AI experience is required.Review and analyze business datasets for accuracy and completeness.Conduct document reviews while following PII and data privacy requirements.Identify and resolve... Show more
We are looking for a Data Engineer to join the Infrastructure Automation team.Our success depends on our world-class network and hardware infrastructure; we’re handling massive scale and rapid... 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
The average salary range is between $ 112,500 and $ 127,500 year , with the average salary hovering around $ 112,500 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.
