<p>We are looking for an AWS Data Engineer to join our team based in Seattle, WA. This is a long-term contract position where you will play a key role in overseeing complex engineering projects, guiding technical teams, and ensuring the successful integration and maintenance of software systems. The ideal candidate will bring extensive experience in system planning, design, and execution, as well as a strong ability to lead and collaborate across functional areas.</p><p><br></p><p>Responsibilities:</p><p>· Implement data cleansing, enrichment, and standardization processes.</p><p>· Automate batch and streaming data pipelines for real-time analytics. Build solutions for both streaming (Kinesis, MSK, Lambda) and batch processing (Glue, EMR, Step Functions).</p><p>· Ensure pipelines are optimized for scalability, performance, and fault tolerance.</p><p>· Optimize SQL queries, data models, and pipeline performance.</p><p>· Ensure efficient use of cloud-native resources (compute, storage, networking).</p><p>· Design and implement data architecture across data lakes, data warehouses, and lakehouses.</p><p>· Optimize data storage strategies (partitioning, indexing, schema design).</p><p>· Implement data integration from diverse sources (databases, APIs, IoT, third-party systems).</p><p>· Work with Data Scientists, Analysts, and BI developers to deliver clean, well-structured data.</p><p>· Document data assets and processes for discoverability.</p><p>· Training of existing core staff who will maintain infrastructure and pipelines.</p>

<p>· Bachelor’s degree in Computer Science, Data Engineering, or related field.</p><p>· 5+ years of experience in data engineering roles</p><p>· Proficiency in SQL, Python, or Scala for data transformation and processing.</p><p>· Experience in the utility industry data</p><p>· Strong understanding of utility data domains: meter data, customer data, grid/asset data, work management, outage data.</p><p>· Familiarity with CIM standards and utility integration frameworks.</p><p>• Proven ability to analyze complex data and develop effective solutions.</p>

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