Remote Data Automation Engineer

# Remote Data Automation Engineer Apply
** Job#: 3055875
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* Job Description:

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* * Candidates must be U.S. citizens able to obtain and/or maintain a Department of Defense security clearance as a condition and continuation of employment.
* Remote Data Automation Engineer
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* Location:

** 100% Remote with potential for quarterly travel to Gaithersburg, MD for team activities

Role Overview We are seeking a Data Automation Engineer to design and implement data automation solutions primarily on AWS, with integration to selected Azure services and Generative AI capabilities. The role involves building scalable data pipelines and automation solutions that integrate cloud services, enterprise tools, and Generative AI to support mission-critical analytics, reporting, and customer engagement platforms. The ideal candidate is mission-focused, delivery-oriented, and able to apply critical thinking to design practical solutions and resolve complex technical issues.

Key Responsibilities
* 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 Lang Chain, to prototype and evaluate selected GenAI-assisted capabilities.
* 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 Git Hub, Azure Dev Ops, 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 Dev Ops 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.
* 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 Git Hub, Azure Dev Ops, 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.

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 Open Search Service, pgvector, or similar platforms.
* Experience with…