Senior Data Engineer – Team 1

Dynamo Strategies, LLC.

. Lead the design, development, and maintenance of scalable ETL pipelines using AWS services .

Posted 9/17/2026full-timeClarksburg • Virginia • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in AWS data services and data engineering, with a strong focus on ETL pipeline development and data governance practices. Capable of leading training initiatives and collaborating effectively with cross-functional teams in a SAFe Agile environment.

Highest-signal resume keywords

AWS Data ServicesETL Pipeline DevelopmentData GovernanceData Mesh ArchitectureSAFe Agile Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaSQLData Catalog ToolsData TransformationSchema DesignData PrivacyData LineageAutomationCloud Security Practices

Soft Skills

CollaborationTrainingCommunication

Tools & Technologies

JiraConfluenceDockerKubernetesAWS CloudFormationBambooJenkinsAWS CloudWatchAWS CloudTrailSplunk

Certifications & Qualifications

Active Secret Clearance

Industry Keywords

Data EngineeringCloud-Based Data InfrastructureDecentralized Data ManagementData Governance ToolsFederal Security Standards

Tech Stack

Tools & technologies

Amazon RedshiftAnsibleAWSCloudDockerETLJavaJenkinsKubernetesPythonSplunkSQL

About the role

Key responsibilities & impact

Lead the design, development, and maintenance of scalable ETL pipelines using AWS services
Design and deploy domain-specific data products
Ensure schema design, data transformations, and storage solutions follow organizational standards
Implement and enforce data governance practices for privacy, access controls, lineage, and metadata management
Manage and enhance the data catalog for discoverability, lineage tracking, and usage transparency
Support operation, maintenance, reliability, availability, and performance of enterprise Data Mesh software
Participate in SAFe Agile ceremonies, including PI Planning, Sprint Planning, Daily Standups, Sprint Reviews, and Retrospectives
Collaborate with Product Owners, Product Managers, and data domain teams on backlog refinement and prioritization
Lead training on data mesh principles, governance practices, and self-service analytics tools
Document work in Jira and Confluence, including Epics, Features, and User Stories
Automate data governance workflows and uphold data integrity across distributed sources
Apply cloud security practices, encryption, access controls, and CJIS security standards
Provide team-specific training to enhance data engineering capabilities
Perform maintenance and on-call support, including potential weekend/non-business-hours work

Requirements

What you’ll need

Active Secret or above clearance required
7+ years of experience in data engineering, focused on cloud-based data infrastructure and ETL pipeline development
Advanced expertise in AWS data services, including S3, Redshift, Glue, Lake Formation, and Lambda
Strong understanding of Data Mesh architecture and decentralized data management principles
Comprehensive knowledge of data governance, including data privacy, access controls, lineage, and metadata management
Experience using data governance tools
Proficiency in Python, Java, or SQL for ETL development, automation, and data processing
Experience with data catalog tools
Proven experience in SAFe Agile environments, including Scrum, Kanban, Jira, and Confluence
Ability to collaborate with cross-functional data domain teams and stakeholders
Ability to lead training for technical and non-technical audiences
Knowledge of cloud security practices, data encryption, and federal security standards
Preferred: experience with Docker, Kubernetes, or ECS
Preferred: familiarity with RESTful API development
Preferred: experience with Bamboo, Jenkins, AWS CloudFormation, or Ansible
Preferred: knowledge of AWS CloudWatch, CloudTrail, or Splunk
Preferred: Bachelor’s degree in Computer Science, Information Technology, or a related field
Preferred: Active Secret clearance

Benefits

Comp & perks

Primarily remote work arrangement
Occasional on-site requirements at the CJIS facility in Clarksburg, WV, for equipment pickup or meetings
Core hours: 9:00 AM–4:00 PM ET
Potential weekend/non-business hours for maintenance and on-call support
On-call response within one hour