Senior Data Engineer

ABSC (Absolute Business Solutions Corp.)

Senior Data Engineer developing data intelligence pipelines for the Department of Defense and Intelligence Community. Focused on Elasticsearch and graph data platforms with collaboration among diverse teams.

Posted 8/2/2026full-timeBethesda • Maryland • 🇺🇸 United StatesSenior💰 $125,000 - $255,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing scalable data management solutions, particularly with Elasticsearch and graph databases, while ensuring high performance and efficiency in data processing and analytics. Proficient in developing automated data pipelines and collaborating with cross-functional teams to enhance data lifecycle management.

Highest-signal resume keywords

Elasticsearch/OpenSearch ArchitectureGraph Database DevelopmentKubernetes DeploymentData Modeling for Hierarchical DatasetsLarge-Scale ETL/ELT Pipeline Development

ATS Keywords

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Hard Skills

Elasticsearch Index DesignGraph DatabasesData Ingestion PipelinesPythonJava

Soft Skills

CollaborationInnovationProblem-Solving

Tools & Technologies

KubernetesCloud-Native TechnologiesAutomated Testing Tools

Certifications & Qualifications

Active Top Secret/SCI Clearance

Industry Keywords

Data EngineeringAI/ML WorkloadsSAFe Agile DevelopmentHigh-Volume Data IngestionDistributed Storage Systems

Tech Stack

Tools & technologies

CloudElasticSearchETLJavaKubernetesNeo4jPython

About the role

Key responsibilities & impact

Design, develop, and optimize scalable data management solutions supporting advanced analytics and AI/ML workloads.
Build and maintain Elasticsearch and graph-based data platforms that enable efficient storage, discovery, and analysis of complex hierarchical data.
Design and optimize Elasticsearch indices to efficiently manage large-scale hierarchical classification structures, ensuring high-performance search, aggregation, and update operations.
Design, implement, and maintain a graph data store supporting hierarchical graph structures optimized for large, dense batch updates and high-throughput analytics.
Develop scalable ingestion pipelines that support scalable graph analytics.
Design data schemas, indexing strategies, and partitioning approaches to maximize query performance, scalability, and storage efficiency.
Collaborate with infrastructure and platform engineering teams to deploy, operate, and optimize Elasticsearch and graph database services in a Kubernetes environment using cloud-native technologies.
Partner with Data Scientists and AI/ML engineers to ingest, curate, manage, analyze, and securely expunge datasets throughout the data lifecycle.
Develop automated data loading, transformation, validation, and quality assurance pipelines supporting production analytics workflows.
Optimize graph and search infrastructure for high availability, resilience, and performance under large-scale analytical workloads.
Collaborate with software engineers and system architects to integrate graph and search services into microservice-based applications.
Participate in SAFe Agile development activities, including sprint planning, design reviews, architecture discussions, and technical demonstrations.
Foster a culture of innovation, collaboration, and professional development within the team.
Ensure sound engineering practices, compliance with policies, and delivery of high-quality software.
Coordinate with test teams to develop and monitor automated system integration tests.
Engage with cross-functional teams to identify and develop high-value integrations with other systems/applications.
Provide specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of COTS/GOTS in place of new development, and requirements analysis and synthesis from system level to individual software components.

Requirements

What you’ll need

Bachelors degree in Computer Science, Data Engineering, or related field and 1215 years of relevant experience, or Masters with 1013 years of experience.
Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph.
Elasticsearch/OpenSearch architecture, index design, mappings, analyzers, and query optimization.
Graph databases such as JanusGraph, Neo4j, TigerGraph, Amazon Neptune, or Memgraph.
Data modeling for hierarchical and highly connected datasets.
Large-scale ETL/ELT pipeline development.
Kubernetes deployment and operations for stateful data services.
Distributed storage systems and high-volume data ingestion.
Python or Java for data engineering and automation.

Benefits

Comp & perks

Generous PTO plus 11 Federal Holidays
Retirement Planning 401k Fully Vested with Match
Annual Health and Wellness Allowance buy an Apple Watch, a treadmill, or hit the gym on us
Career Development Annual Funds to spend on Education and Training
Volunteer Time Off Annually, all employees can spend 8 hours directly supporting a charity of choice
Charitable Match ABSC matches an employees donation to a qualifying charity
Referral Program We pay for internal and external referrals!
LOV Awards Earn bonus awards throughout the year from our Living Our Values awards program