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Data Automation Engineer

Judge Group, Inc.

Washington, District of Columbia • Today

Contract

USD 50.00 - 60.00 per hour

Remote Data Automation Engineer

Apex Systems

Remote or Washington, District of Columbia • Today

Easy Apply

Full-time

$50 - $57 per hour

Senior Data Scientist and Automation Engineer

Booz Allen Hamilton

Hybrid in Washington, District of Columbia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Government and Infrastructure - AI and Data - AI Automation Engineer - Manager

McLean, Virginia • Today

Full-time

USD 150,700.00 - 251,200.00 per year

Government and Infrastructure - AI and Data - AI Automation Engineer

McLean, Virginia • Today

Full-time

USD 91,400.00 - 136,900.00 per year

Data Automation Engineer--REMOTE (Quarterly Travel to Gaithersburg, MD)

Protos IT

Remote • Today

Easy Apply

Contract

0 - 0

Senior Data Platform Automation Engineer - USA Remote

Danaher Corporation

Remote • Today

Full-time

USD 135,000.00 - 150,000.00 per year

Data Engineer

SteerBridge

Hybrid in Vienna, Virginia • 19d ago

Full-time

12000 - 135000

Data Analytics Engineer

Via

Washington, District of Columbia • Today

Full-time

USD 100,000.00 - 130,000.00 per year

Data Engineer

SteerBridge

Vienna, Virginia • Today

Full-time

USD 125,000.00 - 140,000.00 per year

Data Engineer/Analyst

CACI International, Inc.

Alexandria, Virginia • Today

Full-time

USD 103,800.00 - 218,100.00 per year

Automation Test Engineer

Accenture LLP

Washington, District of Columbia • Today

Full-time

USD 64,000.00 - 124,200.00 per year

Data Engineer

Integration Innovation, Inc.

Quantico, Virginia • Today

Full-time

Sr. Automation Test Engineer

Apex Systems

Fairfax, Virginia • Today

Easy Apply

Full-time

$49 - $57 per hour

Test Automation Engineer

ICF International, Inc.

Reston, Virginia • 4d ago

Full-time

USD 81,499.00 - 138,549.00 per year

Test Automation Engineer

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 81,499.00 - 138,549.00 per year

Data Scientist - Security Automation

CACI International, Inc.

Linthicum Heights, Maryland • Today

Full-time

USD 131,800.00 - 290,000.00 per year

Data Engineer

Booz Allen Hamilton

Chantilly, Virginia • Today

Full-time

USD 62,000.00 - 141,000.00 per year

Data Engineer

Symbioun Technologies, Inc

Remote • 14d ago

Easy Apply

Contract

Depends on Experience

Systems Automation Engineer

Randstad Digital

Alexandria, Virginia • Today

Contract

USD60 - USD72

ServiceNow Developer

NCI Information Systems, Inc.

Remote or Quantico, Virginia • Today

Full-time

USD 96,050.00 per year

Data Engineer

Kforce Technology Staffing

Remote or Altamonte Springs, Florida • Today

Contract, Third Party

$65 - $65 hourly

AI Automation Engineer

System One

Hybrid in Vienna, Virginia • 8d ago

Easy Apply

Contract

Depends on Experience

Data Engineer & Automation Developer

Navigant Consulting

Arlington, Virginia • Today

Full-time

Data Management and Automation Analyst

Noblis

Bethesda, Maryland • Today

Full-time

USD 82,500.00 - 128,925.00 per year

Snowflake Platform Engineer-Administrator and Automation

Openmind Technologies

Remote • Today

Easy Apply

Contract

Depends on Experience

Automation Test Engineer

SAIC

Ashburn, Virginia • Today

Full-time

USD 80,001.00 - 120,000.00 per year

Analytics Data Engineer

Corner Alliance, Inc.

Remote or Washington, District of Columbia • Today

Full-time

USD 100,000.00 - 120,000.00 per year

QA Automation Engineer with Playwright

Resource Innovative Technologies LLC

Hybrid in Bethesda, Maryland • Yesterday

Easy Apply

Contract

Depends on Experience

Data Engineer

Booz Allen Hamilton

Arlington, Virginia • Today

Full-time

USD 62,000.00 - 141,000.00 per year

Judge Group, Inc.

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

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.

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
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 3 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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Judge Group, Inc.

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
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Python
JIRA
Version Control
Continuous Integration
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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
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Orchestration
Generative Artificial Intelligence (AI)
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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.

Dice Id: cxjudgpa
Position Id: 1157366
Posted 3 hours ago

Company Info

About Judge Group, Inc.

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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