Jobs in the United States

25+ jobs

Save this search

Added 3 mins ago
UG
Senior Support Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
As a Senior Software Engineer within EDET.OH (Enterprise Digital Experience Technology – OptumHealth), You will play a critical role in ensuring the high availability, scalability, and…
Added 4 mins ago
Data Engineer 4 (Manager IC) - Modeling & Architecture
Capital One
Richmond, VA · McLean, VA · Cambridge, MA
Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business…
Added 18 mins ago
Lead AI Automation Engineer
Humana
Nashville, TN
The Lead AI Automation Engineer will provide hands-on technical leadership for the design, engineering, and productionization of AI-enabled automation across the Data Governance…
Added 21 mins ago
Principal Analytics Engineer
Crisis Prevention Institute
Remote, United States
The Principal Analytics Engineer is the organization’s most senior individual contributor for the enterprise data platform and serves as the end-to-end technical owner of Snowflake and its…
Added 24 mins ago
Senior Data Engineer
Ochsner Clinic Foundation
New Orleans Region, LA
The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance,…
Added 30 mins ago
SA
Staff Software Engineer ML Platform (6244)
Shield AI
San Diego, CA · San Mateo, CA
- $200,000 to $300,000 USD / year
We are looking for a Senior Software Engineer to build the backend services that make those workflows reliable. You will connect training runs to their data, code and configuration, manage…
Added 32 mins ago
CC
Data Engineer 2
CHN Choice Hotels International Services
United States
- $107,000 to $127,000 USD / year
Choice Hotels, one of the world’s largest lodging franchisors, has an exciting new opportunity as our Data Engineer II in the Data Engineering team within our Advanced Analytics Team. The…
Added 34 mins ago
Staff Software Engineer
Mercury Insurance Services, LLC
United States
Experienced in championing operational excellence and best practices with a focus on quality, performance, scalability, maintainability, and observability.
Added 38 mins ago
PI
Senior AIOps Engineer
Porch.com, Inc.
Remote, United States
- $135,000 to $189,000 USD / year
Design and implement monitoring, logging, and alerting for models and data pipelines, and integrate model and system metrics with existing observability stacks and dashboards (Datadog,…
Added 46 mins ago
Principal Software Engineer
DQQ Cohesity Inc.
Santa Clara, CA
Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data -…
Added 49 mins ago
Staff Software Engineer - Cloud Services
Agiloft
Remote, United States
As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing,…
Added 54 mins ago
Software Development Engineer - AgentCore, AWS Agentic AI
Amazon Development Center U.S., Inc.
New York, NY
As a Software Development Engineer, you will design, implement, test, deploy, and operate core components across the Harness control plane and data plane. You will solve challenging…
Added 1 hour ago
Senior Software Engineer - Service Observability & Detection
Apple
Cupertino, CA
…secure at massive scale. We are looking for a Senior Software Engineer to join the Service Observability & Detection team within Wallet, Payments, and Commerce (WPC). In this role, you will…
Added 1 hour ago
Junior DevOps Engineer - Platform Deployment & Support
Absolute Business Solutions Corp
Herndon, VA
ABSC is seeking a Secret or TS/SCI-cleared Junior DevOps Engineer – Platform Deployment & Support to support the NGA Data Modernization Services (DMS) program.
Added 1 hour ago
BV
Cloud Operations Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Cloud Operations Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 1 hour ago
BV
Observability Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Observability Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 1 hour ago
NU
Sr. Principal Integration Engineer - Cloud Solutions
NMC USA National Medical Care Inc
Remote, United States
- $137,000 to $229,000 USD / year
The Principal Azure Cloud Solutions Engineer serves as a senior technical authority responsible for designing, implementing, and improving secure, scalable, and resilient solutions on…
Added 1 hour ago
Senior Data Engineer (Remote Opportunity)
Hyatt
Chicago, IL
Hyatt seeks an experienced Senior Data Engineer who will be an exceptional addition to our growing engineering team. The Senior Data Engineer will work closely with engineering, product…
Added 1 hour ago
BV
Windows Systems Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Windows Systems Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 1 hour ago
BV
Cloud Network Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Cloud Network Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 1 hour ago
BV
FinOps Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a FinOps Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 1 hour ago
BV
Linux Systems Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Linux Systems Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 1 hour ago
BV
Cloud Migration Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Cloud Migration Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 1 hour ago
BV
Cloud Systems Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Cloud Systems Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 1 hour ago
Senior Full Stack Engineer
Intuitive
Remote, United States
Contribute to CI/CD, observability, and operational practices that support small, frequent, and high-confidence releases.

Pantheon Data

Data Engineer (AI-ML Data Systems)

Reston, VA, United States

$110,000 to $190,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $110,000 to $190,000 USD / year
Experience: 5+ years of professional hands-on data engineering, software engineering, analytics engineering, or closely related experience.
Posting language: English
Posted: Nov 2, 2026

Original job description

Company Overview

Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.

Position Overview

We are seeking a hands-on Data Engineer to help design, build, and operate the data foundations that support advanced analytics, AI/ML, and intelligent document processing solutions. The right candidate is a strong engineer who understands how data moves through real systems: ingestion, orchestration, transformation, quality checks, storage, query patterns, operational monitoring, and delivery to downstream applications. This person should be comfortable working across structured, semi-structured, and unstructured data held in relational, graph, and vector data stores, and should bring the judgment to build pipelines that are reliable, explainable, maintainable, and useful to the engineering teams and products that depend on them.

The ideal candidate has strong Python and SQL skills, understands when data should be modeled for operational use versus analytical use, and can reason clearly about batch processing, event-driven pipelines, data quality, lineage, and downstream consumption. They should be able to become productive quickly in a complex engineering environment, ask good questions, and build systems that other engineers can trust and extend. Experience with AWS, graph databases and query languages such as AQL, vector search, document data, or AI/ML data pipelines is valuable, but the core requirement is strong data engineering judgment: knowing how to move, structure, validate, and serve data reliably in support of real products and mission needs.

This role owns the data pipelines and data stores. You will partner closely with the Machine Learning Engineers, who own models, retrieval, extraction, and evaluation: they define how documents are chunked, embedded, enriched, and retrieved, and you build and run the pipelines and stores that apply those designs reliably at scale.

Responsibilities

Design, build, and maintain reliable data pipelines for structured, semi-structured, and unstructured data sources.
Develop Python-based processing workflows for data ingestion, normalization, validation, enrichment, and transformation.
Work with SQL and relational data stores to support transactional, analytical, and application-facing use cases.
Work with graph databases and query languages such as ArangoDB/AQL to model relationships between entities, documents, and metadata, and to support traversal and relationship-driven queries.
Build and operate vector data pipelines and stores: run embedding generation at scale; manage vector index builds, refreshes, backfills, and re-embedding when models change; and serve the lookups that retrieval and RAG workloads depend on, implementing the chunking, embedding, and metadata specifications defined by the Machine Learning Engineers.
Help design data models and storage patterns appropriate to the workload, including OLTP, OLAP, object storage, document-oriented, search, vector, or graph-oriented patterns when applicable.
Implement orchestration and scheduling for repeatable data workflows using tools such as Airflow, AWS Step Functions, Dagster, Prefect, Glue workflows, or similar technologies.
Build automated quality checks, reconciliation logic, validation reports, and operational alerts so data issues are detected early and can be diagnosed quickly.
Support data pipelines that feed AI/ML, retrieval, document intelligence, analytics, and application workflows.
Collaborate with machine learning engineers, software engineers, cloud engineers, and product stakeholders to turn ambiguous data problems into working software.
Write maintainable code, participate in code reviews, document data flows, and contribute to engineering standards for testing, deployment, observability, and version control.
Help improve the velocity of a growing engineering team by taking ownership of well-scoped data engineering work while continuing to grow into broader system ownership.

Required Skills and Experience

Bachelor's degree in Computer Science, Engineering, or a related technical field from an accredited university.
5+ years of professional hands-on data engineering, software engineering, analytics engineering, or closely related experience.
Strong Python programming skills, including experience writing maintainable production-oriented code rather than only notebooks or one-off scripts.
Strong SQL skills and practical understanding of data modeling, query performance, joins, indexing, schemas, normalization/denormalization, and data quality.
Understanding of core data engineering concepts, including batch processing, event-driven workflows, ETL/ELT, orchestration, idempotency, retries, backfills, lineage, and failure handling.
Working knowledge of OLTP versus OLAP systems and the tradeoffs between transactional databases, analytical stores, object storage, search-oriented systems, and graph and vector databases.
Experience building or supporting data pipelines that move data between systems, such as APIs, databases, files, object storage, queues, warehouses, or downstream applications.
Ability to reason about data correctness, schema changes, validation, reconciliation, duplicate handling, missing data, and operational recovery.
Comfortable working with Git, pull requests, code review, issue tracking, documentation, and collaborative software development practices.
Strong communication skills and the ability to explain data flow, design choices, limitations, and tradeoffs to both technical and non-technical stakeholders.
Ability to work effectively in a distributed, cross-functional engineering environment and produce high-quality work with limited hand-holding.
Ability to work effectively remotely in cross-functional teams.
Ability to meet deadlines and produce quality work.
Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.

Preferred Skills and Experience

AWS data services such as S3, Lambda, Glue, Athena, Step Functions, SQS/SNS, Kinesis, EMR, RDS, DynamoDB, Redshift, OpenSearch, or CloudWatch.
Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, AWS Step Functions, Glue, or similar.
Experience with PySpark, Spark, Databricks, EMR, Snowflake, Redshift, or other distributed/analytical data platforms.
Experience supporting AI/ML or RAG-style data workflows, including metadata enrichment, retrieval datasets, vector search, embeddings, evaluation datasets, or human validation workflows.
Experience with document-oriented or unstructured data pipelines, including PDFs, OCR output, tables, forms, images, extracted text, metadata, or search indexes.
Hands-on experience with graph databases and query languages such as ArangoDB/AQL, Neo4j/Cypher, or Gremlin, including graph-shaped data modeling.
Experience with vector databases or vector search engines such as pgvector, OpenSearch, or similar, including index tuning and hybrid (vector + lexical) lookups.
Experience with Docker, CI/CD, infrastructure as code, automated testing, logging, monitoring, and production support is a plus.
Familiarity with data governance, access control, PII handling, auditability, lineage, and compliance-sensitive environments.

Clearance Requirements

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Candidates must have the ability to obtain and maintain a Secret clearance; an active Secret clearance is preferred.

Work Location: Reston, VA - Remote

Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site.
If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements.

Interview Requirement: Candidates who are local to the area should be prepared to participate in an in-person interview as part of the selection process. Candidates outside the local area may be considered for a virtual interview.

Compensation

The salary range for this position is $110,000 - $190,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Benefits Overview

We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity. In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/

Pantheon Data Important Information

All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020.

This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster

Apply About employer

More about this job

Skills

ML
Unstructured data
Python
SQL
AWS
Query languages
Data engineering
Machine learning
Data models
Scheduling
Apache Airflow
Statistical quality control
Computer science
Data modelling
Git
Documentation
Software development
Communication skills
Meet deadlines
Microsoft Outlook
Microsoft Word
Microsoft Excel
Microsoft SharePoint
Microsoft PowerPoint
EMR
Amazon DynamoDB
Amazon Redshift
Workflow
PySpark
Apache Spark
Databricks
Snowflake
OCR
Neo4j
Search engines
Docker
CI/CD
Infrastructure as code
Test automation
Regulatory compliance

Report this job