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Added 14 mins ago
Forward Deploy Engineer Guatemala
Breakmark
NY
Whether you’re already working with agentic AI or are an experienced software engineer ready to focus on it, this role offers the opportunity to take systems from initial discovery through…
Added 22 mins ago
Engineer III, OverWatch Labs (Remote)
CrowdStrike
Pierre, SD
We are looking for an engineer who wants to help move the OWL platform forward as we scale even further. Someone with a broad range of computer skills throughout the software stack and…
Added 23 mins ago
Manufacturing Engineer
Daifuku Intralogistics America
Hobart, IN
A Manufacturing Engineer is responsible for designing, implementing and reviewing the procedures and equipment involved in the manufacturing process.
Added 25 mins ago
Quality Assurance Manager (Mgr Quality 3) - 30981
Huntington Ingalls Industries
Pocasset, MA
…DFMEA and PFMEA progression, MSA, PPIP, capability checks, and Production Readiness…
Added 25 mins ago
AS
Senior Project Engineer I/II
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Durango
- $112,000 to $175,000 USD / year
Agile Space Industries is seeking an experienced Project Engineer to drive technical execution across multidisciplinary teams developing spaceflight pressure vessels, propellant tanks, and…
Added 25 mins ago
Sr Spec, Integration & Test Engineering
L3Harris
Wilmington, MA
L3Harris Space Superiority group has an opening for a Lead, Integration & Test Engineer to join our team of qualified, diverse individuals. This position will be in Wilmington, MA. The…
Added 25 mins ago
Test Engineer, New College Graduate, (Teradyne, North Reading, MA)
Teradyne
North Reading, MA
Seeking a Test Engineer to fill an opportunity in the New Products Introduction Pilot Line department with a primary focus on supporting the Silicon Photonics market. This is the perfect…
Added 26 mins ago
Software Engineer Co-op (January 2027)
RTX Corporation
marlborough, MA
Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
Added 26 mins ago
FM
Sr. Principal Integration Engineer - Cloud Solutions
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- $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 26 mins ago
Senior Software Engineer
ManpowerGroup
Boston, MA
Our client is seeking a Senior Software Engineer to join their team. As a Senior Software Engineer, you will be part of the Engineering organization supporting Analytics Engineering. The…
Added 26 mins ago
Composites Engineer
CPI Industries
Hudson, MA
The Composites Engineer will provide engineering support for the design, test, and manufacture of radomes, antenna reflectors, and other related composite products for aircraft, ship,…
Added 26 mins ago
Senior Mechanical Engineer - Maritime
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Franklin, MA
QinetiQ US is seeking a highly motivated Senior Mechanical Engineer, who will be responsible for the design, development, and design maintenance of military and commercial hardware…
Added 26 mins ago
Senior Mechanical Engineer - Maritime
QinetiQ
Franklin, MA
QinetiQ US is seeking a highly motivated Senior Mechanical Engineer, who will be responsible for the design, development, and design maintenance of military and commercial hardware…
Added 47 mins ago
Manufacturing Engineer
Daifuku
Hobart, IN
A Manufacturing Engineer is responsible for designing, implementing and reviewing the procedures and equipment involved in the manufacturing process.
Added 50 mins ago
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Staff Applied AI Engineer (Forward Deployed) [NYC or SF]
Concurrence
New York City, NY
- $240,000 to $300,000 USD / year
As a Staff Applied AI Engineer, you own our most complex customer use cases and set technical direction across deployments. You take a deployment from brief to production. You make the…
Added 53 mins ago
Financial Services - Technology Consulting - Product Designer - Senior - Washington, DC
EY
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AI-first design craft: Take work from research, problem framing, user flows and high-fidelity design to production-ready Figma files with end-to-end coverage. Use LLMs and AI-assisted…
Added 57 mins ago
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Product Manager
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San Francisco, CA
- $135,000 to $200,000 USD / year
You’ll also own the path from a developer’s first API call to a voice agent running in production. Bring our API, MCP, CLI, plugins, and docs together so developers can build agents with…
Added 58 mins ago
Internship - Mechanical Engineer
ASML US, LP. (US30)
Wilton, CT
…industry, manufacturing complex machines that are critical to the production of integrated circuits or microchips. The mission of the Mechanical Development department is to design and…
Added 1 hour ago
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Senior Full Stack Engineer
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- $185,000 to $210,000 USD / year
…chronic conditions manage care logistics. You will be a hands-on engineer and product partner, helping shape the roadmap and deliver secure, user-facing…
Added 1 hour ago
Mechanical Engineer, Satellites (Starlink)
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As a mechanical design engineer within the satellite vehicle engineering organization you will get to solve complex structural, thermal, and electromechanical problems on the various space…
Added 1 hour ago
Electrical Engineer - Fremont, CA
Express Employment Professionals
Fremont, CA
This is a fully onsite role. We are seeking a versatile Electrical Engineer to join its New Product Development team. This is a hands-on engineering role for someone who brings a blend of…
Added 1 hour ago
Electrical/Avionics Systems Engineering Support - Journeyman
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Serve as an Electrical Engineer on multispecialty teams supporting aircraft R&D, acquisition, production, and sustainment.
Added 1 hour ago
SG040 - Threat Engineer.
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Shepherds threat data requests and threat data deliveries through the development/production process
Added 1 hour ago
Sr. Software Engineer, UI Developer Tooling (Hybrid, New York)
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We're looking for a Senior UI Platform Engineer to lead the design and build of the shared developer tooling foundation for our next-generation front end. It's a strategic role for someone…
Added 1 hour ago
Product Marketing Manager
ResolveAI
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- Software maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI…

Pantheon Data

Data Engineer (AI-ML Data Systems)

Reston, VA, United States

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

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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

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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

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