{"schemaVersion":"jobsearcher.job.v1","id":"ab2974ae97a3f32d314ec5e8","url":"https://jobsearcher.com/jobs/ab2974ae97a3f32d314ec5e8","canonicalUrl":"https://jobsearcher.com/jobs/ab2974ae97a3f32d314ec5e8","title":"Infrastructure-as-Code (IaC) Engineer","description":"Title: AWS Data Engineer Location: Remote Role Type: Contract Compensation: $55.31/HR - $63.12/HR on W2 System One is seeking an AWS Data Engineer to design, build, and optimize large-scale data pipelines and analytics solutions on Amazon Web Services (AWS). The role will design and build the infrastructure and pipelines that enable organizations to collect, store, process, and analyze large volumes of structured and unstructured data efficiently and securely. A Data Engineer is responsible for the end-to-end data lifecycle, from ingestion and transformation to storage and delivery for analytics, machine learning, and operational systems. They ensure data is reliable, high-quality, scalable, and accessible for business and technical stakeholders.\nThe ideal candidate will have strong expertise in cloud-based data engineering, hands-on experience with AWS native services, and a solid understanding of data lake, data warehouse, and real-time streaming architectures.\nResponsibilities:\nDesign, build, and optimize ETL/ELT workflows to ingest data from multiple sources. (e.g., S3, Redshift, Lake Formation, Glue, lambda).\nImplement data cleansing, enrichment, and standardization processes.\nAutomate batch and streaming data pipelines for real-time analytics.\nBuild solutions for both streaming (Kinesis, MSK, Lambda) and batch processing (Glue, EMR, Step Functions).\nEnsure pipelines are optimized for scalability, performance, and fault tolerance.\nOptimize SQL queries, data models, and pipeline performance.\nEnsure efficient use of cloud-native resources (compute, storage, networking).\nDesign and implement data architecture across data lakes, data warehouses, and lakehouses.\nOptimize data storage strategies (partitioning, indexing, schema design).\nImplement data integration from diverse sources (databases, APIs, IoT, third-party systems).\nWork with Data Scientists, Analysts, and BI developers to deliver clean, well-structured data.\nDocument data assets and processes for discoverability.\nTraining of existing core staff who will maintain infrastructure and pipelines.\nRequired Education & Experience:\nBachelor's degree in Computer Science, Data Engineering, or related field.\n5+ years of experience in data engineering roles\nProficiency in SQL, Python, or Scala for data transformation and processing.\nExperience in the utility industry data including meter data, customer data, grid/asset data, work management, outage data.\nFamiliarity with IEC CIM standards and utility integration frameworks.\nWorking knowledge of Databricks on AWS\nWorking knowledge of DevOps and CI/CD\nPreferred Qualifications:\nExperience with IaC tools (e.g. Terraform) is a plus\nFor applications and inquiries, contact: hirings@openkyber.com","company":"Openkyber","rawCompany":"openkyber","city":"Alaska","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-06T13:30:50.869Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Infrastructure-as-Code (IaC) Engineer","description":"Title: AWS Data Engineer Location: Remote Role Type: Contract Compensation: $55.31/HR - $63.12/HR on W2 System One is seeking an AWS Data Engineer to design, build, and optimize large-scale data pipelines and analytics solutions on Amazon Web Services (AWS). The role will design and build the infrastructure and pipelines that enable organizations to collect, store, process, and analyze large volumes of structured and unstructured data efficiently and securely. A Data Engineer is responsible for the end-to-end data lifecycle, from ingestion and transformation to storage and delivery for analytics, machine learning, and operational systems. They ensure data is reliable, high-quality, scalable, and accessible for business and technical stakeholders.\nThe ideal candidate will have strong expertise in cloud-based data engineering, hands-on experience with AWS native services, and a solid understanding of data lake, data warehouse, and real-time streaming architectures.\nResponsibilities:\nDesign, build, and optimize ETL/ELT workflows to ingest data from multiple sources. (e.g., S3, Redshift, Lake Formation, Glue, lambda).\nImplement data cleansing, enrichment, and standardization processes.\nAutomate batch and streaming data pipelines for real-time analytics.\nBuild solutions for both streaming (Kinesis, MSK, Lambda) and batch processing (Glue, EMR, Step Functions).\nEnsure pipelines are optimized for scalability, performance, and fault tolerance.\nOptimize SQL queries, data models, and pipeline performance.\nEnsure efficient use of cloud-native resources (compute, storage, networking).\nDesign and implement data architecture across data lakes, data warehouses, and lakehouses.\nOptimize data storage strategies (partitioning, indexing, schema design).\nImplement data integration from diverse sources (databases, APIs, IoT, third-party systems).\nWork with Data Scientists, Analysts, and BI developers to deliver clean, well-structured data.\nDocument data assets and processes for discoverability.\nTraining of existing core staff who will maintain infrastructure and pipelines.\nRequired Education & Experience:\nBachelor's degree in Computer Science, Data Engineering, or related field.\n5+ years of experience in data engineering roles\nProficiency in SQL, Python, or Scala for data transformation and processing.\nExperience in the utility industry data including meter data, customer data, grid/asset data, work management, outage data.\nFamiliarity with IEC CIM standards and utility integration frameworks.\nWorking knowledge of Databricks on AWS\nWorking knowledge of DevOps and CI/CD\nPreferred Qualifications:\nExperience with IaC tools (e.g. Terraform) is a plus\nFor applications and inquiries, contact: hirings@openkyber.com","datePosted":"2026-08-06T13:30:50.869Z","dateModified":"2026-08-06T13:30:50.869Z","hiringOrganization":{"@type":"Organization","name":"Openkyber","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alaska","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ab2974ae97a3f32d314ec5e8"},"url":"https://jobsearcher.com/jobs/ab2974ae97a3f32d314ec5e8"}}