Judge Group, Inc.
Judge Group, Inc.

Data Automation Engineer

Washington, DC, US • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
On-site
USD $50.00 - 60.00 per hour
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Job Details

Skills

  • Extract
  • Transform
  • Load
  • ELT
  • Amazon DynamoDB
  • Microsoft SQL Server
  • SQL Azure
  • Collaboration
  • Search Engineering
  • LangChain
  • Meta-data Management
  • Data Quality
  • Data Extraction
  • Natural Language
  • Use Cases
  • Customer Engagement
  • Analytical Skill
  • Reporting
  • Analytics
  • Identity Management
  • Encryption
  • Virtual Private Cloud
  • Access Control
  • Firewall
  • Agile
  • Sprint
  • Computer Science
  • Data Engineering
  • Streaming
  • Apache Kafka
  • Apache Flume
  • Microsoft SSIS
  • Amazon S3
  • Amazon Lambda
  • Amazon EMR
  • Step-Functions
  • Database
  • Open Source
  • Python
  • JIRA
  • Version Control
  • Continuous Integration
  • Continuous Delivery
  • GitHub
  • DevOps
  • Jenkins
  • Performance Tuning
  • SQL
  • Apache Spark
  • Real-time
  • SLA
  • Root Cause Analysis
  • Communication
  • Presentations
  • Security Clearance
  • Machine Learning (ML)
  • Microsoft
  • Artificial Intelligence
  • Databricks
  • Search Technologies
  • Apache Solr
  • Cloud Computing
  • Data Integration
  • Microsoft Azure
  • Docker
  • Kubernetes
  • Data Processing
  • Orchestration
  • Generative Artificial Intelligence (AI)
  • Workflow
  • Evaluation
  • Lifecycle Management
  • Unity
  • Terraform
  • Amazon Web Services
  • Regulatory Compliance
  • FedRAMP
  • PCI DSS
  • HIPAA
  • Insurance
  • Privacy
  • Marketing

Summary

Location: Washington, DC Salary: $50.00 USD Hourly - $60.00 USD Hourly Description: Our client is currently seeking a Data Automation Engineer

In this role, you will:
  • Design and implement scalable data automation workflows using AWS services, with integration to selected Azure data platforms where required.
  • Develop ETL/ELT processes to ingest, transform, and move data across Amazon DynamoDB, SQL Server hosted on AWS, Azure SQL, and other enterprise data sources.
  • Design, develop, and support batch and near-real-time ingestion pipelines using Apache Spark and technologies such as Kafka or Flume, and collaborate with the search engineering team to integrate those pipelines with the existing Apache Solr platform.
  • Evaluate and apply Generative AI services and frameworks, such as Amazon Bedrock, Azure OpenAI, Hugging Face, and LangChain, to:
    • Prototype and evaluate selected GenAI-assisted capabilities, such as metadata enrichment, data-quality analysis, structured data extraction, anomaly identification, and natural-language access to enterprise data. Recommend suitable use cases for future implementation.
  • Develop scalable data-processing solutions using Amazon EMR and containerized deployment environments such as AWS Fargate or Kubernetes.
  • Integrate Amazon Connect customer-interaction data into analytical data stores for operational reporting and analytics.
  • Apply source-control, build, containerization, and CI/CD practices using tools such as GitHub, Azure DevOps, Jenkins, and Docker.
  • Implement data solutions in accordance with established security and compliance controls, including identity and access management, KMS encryption, VPC isolation, role-based access control, and firewall policies.
  • Support Agile DevOps processes with sprint-based delivery of pipeline and AI-enabled features.


Required Qualifications:
  • Bachelor's degree in Computer Science or a related field and 5+ years of experience in data engineering, data automation, or a related discipline.
  • Candidates must be able to independently design, develop, test, and troubleshoot Python- and SQL-based data pipelines in AWS environments, including integrations with Azure services where required, and clearly explain their personal contribution to production implementations.
  • Strong hands-on experience with Apache Spark and working knowledge of at least one streaming or ingestion technology, such as Apache Kafka or Apache Flume.
  • Hands-on experience with multiple AWS data and integration services, including several of the following: Amazon S3, AWS Glue, AWS Lambda, Amazon EMR, AWS Step Functions, and at least one AWS database service.
  • Practical experience integrating at least one LLM platform or model service, such as Amazon Bedrock, Azure OpenAI Service, or an open-source model, into a Python-based workflow.
  • Experience integrating REST APIs and external services into Python-based data pipelines and automated workflows.
  • Experience using Jira and one or more source-control, build, or CI/CD platforms, such as GitHub, Azure DevOps, or Jenkins.
  • Strong troubleshooting and performance-optimization skills across SQL, Spark, batch pipelines, and near-real-time ingestion workflows.
  • Experience supporting production data platforms, including SLA monitoring, incident resolution, root-cause analysis, data reconciliation, performance troubleshooting, vulnerability remediation, and recurring maintenance.
  • Good communication and presentation skills.
  • ship and ability to obtain Federal government Public Trust clearance.


Preferred Qualifications:
  • Relevant certifications, such as AWS Certified Data Engineer - Associate, AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Databricks Certified Data Engineer.
  • Familiarity with retrieval-augmented generation pipelines, embeddings, and vector-search technologies such as Apache Solr, Amazon OpenSearch Service, pgvector, or similar platforms.
  • Experience with multi-cloud data integration (AWS and Azure).
  • Experience with Docker and Kubernetes for containerized deployment, scalable data processing, and orchestration.
  • Experience operationalizing Generative AI workflows, including prompt and model configuration, evaluation, observability, monitoring, and lifecycle management.
  • Knowledge of data lineage/governance tools (Purview, Unity Catalog, AWS Glue Catalog).
  • Familiarity with infrastructure-as-code tools, such as Terraform, AWS CloudFormation, or Bicep, for automated deployments.
  • Experience with compliance frameworks (FedRAMP, PCI-DSS, HIPAA).

    Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.


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Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1157366
  • Posted 2 hours ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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