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Data Automation Engineer
<p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>·      Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>·      Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>·      Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>·      Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>·      Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>·      Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>·      Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>·      Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
<p><strong>Core Qualifications:</strong></p><p>·      Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field.</p><p>·      5+ years of experience in data engineering, data automation, software engineering, or a related discipline.</p><p>·      Strong hands-on experience developing Python- and SQL-based data pipelines in AWS environments.</p><p>·      Experience with Apache Spark and at least one streaming/ingestion technology such as Apache Kafka or Apache Flume.</p><p>·      Hands-on experience with AWS services including several of the following: S3, AWS Glue, Lambda, EMR, Step Functions, and AWS database services.</p><p>·      Experience integrating REST APIs and external services into automated data workflows.</p><p>·      Experience working with CI/CD and source control platforms such as GitHub, Azure DevOps, or Jenkins.</p><p>·      Strong troubleshooting, performance tuning, and production support experience across data platforms and pipelines.</p><p>·      Excellent communication and collaboration skills.</p><p>·      U.S. Citizenship and ability to obtain a Federal Public Trust clearance.</p><p><strong>Preferred Qualifications:</strong></p><p>·      Experience integrating Large Language Models (LLMs) such as Amazon Bedrock, Azure OpenAI, Hugging Face, or similar AI services into production workflows.</p><p>·      Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, Apache Solr, OpenSearch, pgvector, or similar technologies.</p><p>·      Multi-cloud experience supporting both AWS and Azure environments.</p><p>·      Experience with Docker, Kubernetes, and containerized application deployments.</p><p>·      Experience operationalizing Generative AI solutions, including monitoring, evaluation, observability, and lifecycle management.</p><p>·      Familiarity with data governance and cataloging solutions such as Microsoft Purview, Unity Catalog, or AWS Glue Catalog.</p><p>·      Experience with Infrastructure as Code tools including Terraform, AWS CloudFormation, or Bicep.</p><p>·      Knowledge of FedRAMP, HIPAA, PCI-DSS, or other regulated compliance environments.</p><p>·      Relevant cloud, AI, or data engineering certifications.</p>
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  • Washington, DC
  • remote
  • Temporary / Contract
  • 48 - 54 USD / Hourly
  • <p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>·      Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>·      Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>·      Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>·      Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>·      Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>·      Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>·      Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>·      Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
  • 2026-10-15T00:00:00Z

Data Automation Engineer Job in Washington, DC | Robert Half