Jobs in the United States

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Added 1 min ago
Software Engineer- AI Agents / Generative AI
PNC Bank NA
Strongsville, OH
…opportunity to contribute to the company’s success. As a Software Engineer within PNC's Technology organization, you will be based in Pittsburgh, PA or Cleveland,…
Added 3 mins ago
Machine Learning / AI Engineer
Bose Corporation, U.S.A
Remote, United States
At Bose, we believe sound is the most powerful force on earth. As a Machine Learning / AI Engineer, you’ll help bring that belief to life - developing intelligent capabilities for the next…
Added 5 mins ago
Senior Software Development Engineer
CVS Health
Work at Home, MD · Work At Home, AR · Work At Home, AZ · Work At Home, CO · Work At Home, CT · Work At Home, FL · Work At Home, GA · Work At Home, IL · Work At Home, MA · Work At Home, NC · Work At Home, NJ · Work At Home, PA · Work At Home, TX
CVS Health is looking for hands-on, passionate, driven Sr Software Development Engineer to join a high energy and growing team to make a difference in customers' lives and who wants to be…
Added 5 mins ago
Principal Human Factor Engineer - Neuro - Rice Creek, MN (Onsite)
MED Medtronic Inc
Fridley, MN
The Principal Human Factors Design Engineer will lead human factors and usability engineering efforts across assigned Interventional product programs. This individual contributor will apply…
Added 7 mins ago
Data Support Manager
Bank of America, National Association
United States
Under the GRM Data Strategy & Management leadership team, the Data Analyst / AI Engineer will design, build and operationalize quantitative models and agentic AI solutions for complex risk…
Added 7 mins ago
Data Support Manager
Bank of America, National Association
United States
Under the GRM Data Strategy & Management leadership team, the Data Analyst / AI Engineer will design, build and operationalize quantitative models and agentic AI solutions for complex risk…
Added 9 mins ago
Senior Lead Software Engineer - Network Infrastructure and Automation
Nightwing
Annapolis Junction, MD
SENIOR LEAD SOFTWARE ENGINEER - NETWORK INFRASTRUCTURE & AUTOMATION
Added 9 mins ago
F
Imaging Service Engineer I - Minnesota
Fujifilm
Annapolis, MD
- $32.69 to $38.46 USD / hour
An Imaging Service Engineer I is responsible for performing scheduled service work on systems within a service area, and some unscheduled work in the service area with the assistance of…
Added 9 mins ago
Sr. Machine Learning Engineer (Remote)
CrowdStrike
Annapolis, MD
CrowdStrike is looking for a Sr. Machine Learning Engineer to join our growing AIDR Engineering Team. You will provide engineering support and solutions to a data science group focused on…
Added 10 mins ago
Sr Software Engineer
Cengage Group
Baltimore, MD
…with product and design teams in your role as senior software engineer. Together you will focus on improving customer outcomes through frequent stakeholder engagements and data-driven…
Added 15 mins ago
DA
Controls Engineer
Daikin Applied Americas Inc
Plymouth, MN
- $62,000 to $124,300 USD / year
Daikin Applied is seeking a Controls Engineer. The Controls Engineer is responsible for designing, developing, testing and implementing controls systems for Daikin’s cutting-edge HVAC…
Added 21 mins ago
Software Engineer III
Yuhaaviatam of San Manuel Nation
Highland, CA
Under the direction of the Manager, Development Studio, the Software Engineer III is responsible for providing technical leadership and strategic guidance for complex software initiatives,…
Added 33 mins ago
Controls Engineer II
Barry-Wehmiller
Denver, CO
Develop automation solutions through design specifications, software configuration, testing, commissioning, and start-up activities
Added 35 mins ago
WI
(USA) Principal, Software Engineer
Walmart Inc.
Bentonville, AR
- $110,000 to $220,000 USD / year
As a Principal Software Engineer, you will lead the design and delivery of scalable platform capabilities, driving the full software development lifecycle from coding to deployment and…
Added 43 mins ago
Lead/ Senior Machine Learning Scientist, Integrative Phenotyping
insitro
South San Francisco, CA
As a Lead/ Senior Machine Learning Scientist on the Integrative Phenotyping team, you will develop, productionize, and deploy cutting-edge ML approaches to build precise phenotypes from…
Added 48 mins ago
Controls Engineer
Burford Corp
Maysville, OK
The Controls Engineer will support the success of the Sustaining Engineering team by designing programming, testing, and supporting PLC and HMI systems used in industrial bakery equipment.
Added 50 mins ago
A
Electrical Engineer
Actalent
Sunnyvale, CA
- $105 USD / hour
Oversee simulation and testing of machine, structure, and system operation while monitoring product quality.
Added 56 mins ago
Instrumentation & Control Systems Engineer
Fortera Corporation
San Jose, CA
The Controls System Engineer will contribute to successful design and operation of control system hardware and software for all Fortera processes including mineral grinding, kiln…
Added 1 hour ago
Software Engineer, Infrastructure Engineering
Reddit
Remote, United States
End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability.
Added 1 hour ago
AI
Senior Software Engineer – Developer Studio
Applied Intuition
Sunnyvale, CA
- $255,653 to $265,000 USD / year
- Responsible for end-to-end design, development, and maintenance of a large scale cloud hosted, full stack platform used for building and testing vehicle applications.
Added 1 hour ago
AI
Software Engineer (Sunnyvale, CA)
Applied Intuition
Sunnyvale, CA
- $152,797 to $222,200 USD / year
- CI/CD: Unit testing, Integration testing, Stress testing, Grafana
Added 1 hour ago
FPGA / ASIC Design Engineer
The Mitre Corporation
Bedford, MA
Development, integration, and testing of custom prototypes in the lab
Added 1 hour ago
Cyber Operations Lead
The Mitre Corporation
Colorado Springs, CO
As a lead engineer within MITRE Technology and Engineering, the individual will translate sponsor questions into executable analysis, integrate modeling and simulation with engineering and…
Added 1 hour ago
Human Factors Engineer (HFE)
The Mitre Corporation
San Antonio, TX
MITRE’s Human-Systems Integration (HSI) and User Experience (UX) department is seeking a Senior Human Factors Engineer (HFE) who is passionate about designing and developing user-centered…
Added 1 hour ago
Senior Software Engineer- AI & Data Platforms
First Electronic Bank
Salt Lake City, UT
Correctness and resilience: Engineer idempotent, replayable pipelines with deduplication, schema-evolution handling, and late-arriving data support. Build reconciliation, control-total,…

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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