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Job Summary The GenAI Data Automation Engineer will design and implement AI-driven automation and data engineering solutions across AWS and Azure hybrid environments. This role focuses on building intelligent, scalable data pipelines that integrate cloud services, enterprise tools, and Generative AI to support analytics, reporting, and customer engagement platforms. The ideal candidate is analytical, innovative, and mission-driven, with the ability to translate complex technical requirements into effective automated systems. This position requires U.S. citizenship and the ability to obtain a Public Trust clearance. The role is primarily remote, with occasional onsite work in the Gaithersburg area approximately once per quarter.
Job Responsibilities
Design, develop, and maintain data pipelines using AWS services such as S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB, and Step Functions.
Build and optimize ETL/ELT processes to transfer data between multiple systems, including DynamoDB to SQL Server (AWS) and AWS to Azure SQL.
Integrate AWS Connect and Nice inContact CRM data into enterprise pipelines for analytics and operational reporting.
Enhance data ingestion pipelines using Apache Spark, Flume, and Kafka for both real-time and batch processing into Apache Solr and AWS OpenSearch.
Leverage Generative AI frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to automate vector generation, embedding, data quality checks, metadata tagging, and lineage tracking.
Implement LLM-assisted data transformation, anomaly detection, and conversational BI interfaces for natural language access to data sources.
Develop AI-powered copilots for pipeline monitoring, diagnostics, and automated troubleshooting.
Optimize SQL Server performance through stored procedures, indexing, and query tuning.
Apply CI/CD best practices using GitHub, Jenkins, or Azure DevOps for data pipelines and GenAI model deployment.
Ensure security and compliance through IAM, encryption, VPC isolation, RBAC, and firewall configurations.
Participate in Agile DevOps processes, delivering sprint-based enhancements and AI-enabled features.
Job Requirements
Bachelor's degree in Computer Science or related field.
Minimum of 2 years of experience in data engineering and automation.
Hands-on experience with Generative AI frameworks such as AWS Bedrock, Azure OpenAI, or open-source platforms.
Strong proficiency in SQL, SSIS, Python, Spark, Bash, PowerShell, and cloud CLI tools.
Experience with AWS services including S3, Glue, RDS/SQL Server, Lambda, EMR, and DynamoDB.
Familiarity with Apache Flume, Kafka, and Solr for large-scale data ingestion and search.
Experience integrating REST APIs into data workflows.
Proficiency with CI/CD tools such as GitHub, Azure DevOps, Jenkins, and JIRA.
Strong troubleshooting and performance optimization skills for SQL and Spark environments.
Experience operationalizing Generative AI pipelines, including model deployment, monitoring, and lifecycle management.
Excellent communication and presentation skills.
U.S. citizenship and eligibility to obtain a Public Trust clearance.
Preferred Qualifications
Certifications such as AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, or Databricks Certified Data Engineer.
Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS, Pinecone, or Pgvector.
Experience with multi‑cloud data integration between AWS and Azure SQL environments.
Familiarity with Microsoft BizTalk, SSIS, and data governance tools (Purview, Unity Catalog, AWS Glue Catalog).
Experience using Infrastructure-as-Code tools such as Terraform, CloudFormation, or Bicep.
Understanding of compliance frameworks such as FedRAMP, PCI‑DSS, and HIPAA.
Additional Job Details
This position is primarily remote with occasional onsite requirements in the Gaithersburg area (approximately once per quarter).
Must be able to obtain and maintain a Public Trust clearance.
U.S. citizenship is required for consideration.
About Equiliem Equiliem believes in empowering success. It's our job to cultivate relationships that connect people and employers in a way that is inclusive, intelligent, and allows both to thrive.
Across the U.S., leading companies in healthcare, government, engineering, manufacturing, professional services, and energy rely on us for their workforce solutions. Our recruiting and HR services include contract and direct hire staffing, Payrolling/EOR, Independent Contractor Compliance, and Managed Services.
For almost 30 years, we've helped shape our industry. Today, we continue to research, ask questions, and continuously enhance the candidate journey and client experience.
Benefits We offer a comprehensive benefits package to our employees, which includes:
Medical Insurance
Vision & Dental Insurance
Life Insurance
401K
Commuter Benefits
Employee Discounts & Rewards
Payroll Payment Options
EEO Employer Equiliem is an equal opportunity employer. We do not discriminate or allow discrimination based on race, color, religion, creed, sex, age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Equiliem will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or .
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
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Job Summary The GenAI Data Automation Engineer will design and implement AI-driven automation and data engineering solutions across AWS and Azure hybrid environments. This role focuses on building intelligent, scalable data pipelines that integrate cloud services, enterprise tools, and Generative AI to support analytics, reporting, and customer engagement platforms. The ideal candidate is analytical, innovative, and mission-driven, with the ability to translate complex technical requirements into effective automated systems. This position requires U.S. citizenship and the ability to obtain a Public Trust clearance. The role is primarily remote, with occasional onsite work in the Gaithersburg area approximately once per quarter.
Job Responsibilities
Design, develop, and maintain data pipelines using AWS services such as S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB, and Step Functions.
Build and optimize ETL/ELT processes to transfer data between multiple systems, including DynamoDB to SQL Server (AWS) and AWS to Azure SQL.
Integrate AWS Connect and Nice inContact CRM data into enterprise pipelines for analytics and operational reporting.
Enhance data ingestion pipelines using Apache Spark, Flume, and Kafka for both real-time and batch processing into Apache Solr and AWS OpenSearch.
Leverage Generative AI frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to automate vector generation, embedding, data quality checks, metadata tagging, and lineage tracking.
Implement LLM-assisted data transformation, anomaly detection, and conversational BI interfaces for natural language access to data sources.
Develop AI-powered copilots for pipeline monitoring, diagnostics, and automated troubleshooting.
Optimize SQL Server performance through stored procedures, indexing, and query tuning.
Apply CI/CD best practices using GitHub, Jenkins, or Azure DevOps for data pipelines and GenAI model deployment.
Ensure security and compliance through IAM, encryption, VPC isolation, RBAC, and firewall configurations.
Participate in Agile DevOps processes, delivering sprint-based enhancements and AI-enabled features.
Job Requirements
Bachelor's degree in Computer Science or related field.
Minimum of 2 years of experience in data engineering and automation.
Hands-on experience with Generative AI frameworks such as AWS Bedrock, Azure OpenAI, or open-source platforms.
Strong proficiency in SQL, SSIS, Python, Spark, Bash, PowerShell, and cloud CLI tools.
Experience with AWS services including S3, Glue, RDS/SQL Server, Lambda, EMR, and DynamoDB.
Familiarity with Apache Flume, Kafka, and Solr for large-scale data ingestion and search.
Experience integrating REST APIs into data workflows.
Proficiency with CI/CD tools such as GitHub, Azure DevOps, Jenkins, and JIRA.
Strong troubleshooting and performance optimization skills for SQL and Spark environments.
Experience operationalizing Generative AI pipelines, including model deployment, monitoring, and lifecycle management.
Excellent communication and presentation skills.
U.S. citizenship and eligibility to obtain a Public Trust clearance.
Preferred Qualifications
Certifications such as AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, or Databricks Certified Data Engineer.
Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS, Pinecone, or Pgvector.
Experience with multi‑cloud data integration between AWS and Azure SQL environments.
Familiarity with Microsoft BizTalk, SSIS, and data governance tools (Purview, Unity Catalog, AWS Glue Catalog).
Experience using Infrastructure-as-Code tools such as Terraform, CloudFormation, or Bicep.
Understanding of compliance frameworks such as FedRAMP, PCI‑DSS, and HIPAA.
Additional Job Details
This position is primarily remote with occasional onsite requirements in the Gaithersburg area (approximately once per quarter).
Must be able to obtain and maintain a Public Trust clearance.
U.S. citizenship is required for consideration.
About Equiliem Equiliem believes in empowering success. It's our job to cultivate relationships that connect people and employers in a way that is inclusive, intelligent, and allows both to thrive.
Across the U.S., leading companies in healthcare, government, engineering, manufacturing, professional services, and energy rely on us for their workforce solutions. Our recruiting and HR services include contract and direct hire staffing, Payrolling/EOR, Independent Contractor Compliance, and Managed Services.
For almost 30 years, we've helped shape our industry. Today, we continue to research, ask questions, and continuously enhance the candidate journey and client experience.
Benefits We offer a comprehensive benefits package to our employees, which includes:
Medical Insurance
Vision & Dental Insurance
Life Insurance
401K
Commuter Benefits
Employee Discounts & Rewards
Payroll Payment Options
EEO Employer Equiliem is an equal opportunity employer. We do not discriminate or allow discrimination based on race, color, religion, creed, sex, age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Equiliem will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or .
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
Referrals increase your chances of interviewing at Jobs via Dice by 2x
#J-18808-Ljbffr