OpenShift

OpenShift Data Jobs

4 jobs found

1mo ago

Data Scientist

Leidos Bethesda, MD

Bethesda, MD

1mo ago Closed

$70k - $126k/yr Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

The Data Scientist role at Leidos focuses on research‑level data analytics, machine learning, natural language processing, and data fusion for national security. This position operates on a research‑oriented team at a customer site in Bethesda, MD, delivering results, publications, and actionable intelligence insights on site.

Job Details

Location: Bethesda, MD (onsite)
Salary: USD 69,550 – 125,725 per year
Minimum Experience: 2+ years
Education: Bachelor's degree or Master's degree (or equivalent graduate degree)

Responsibilities

Collaborate within a compact data science team and with a broader group of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform that produces results, disseminates findings, and supports publications and presentations.
Advance small projects that analyze diverse big data across national security, cyber security, business intelligence, online social media, human behavior, and related domains.
Support multiple concurrent projects and operate under open‑ended or high‑level guidance.
Independently and collaboratively identify discoveries with mission relevance.
Package and convey findings to non‑technical audiences in a clear, actionable manner.
Apply a blend of curiosity, quantitative acumen, and customer focus to identify novel data sources, improve predictive algorithms, and promote user adoption of advanced analytics platforms in partnership with a motivated team.
Leverage expertise in research design, exploratory analysis, quantitative methods, user interface design for applications, and customer outreach to drive impact.

Requirements

Bachelor’s degree in a quantitative or analytical field (including Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science) with 2+ years of experience; or a Master’s degree or equivalent graduate degree with less than 2 years of experience.
Active TS/SCI clearance with the ability to obtain TS/SCI with polygraph.
Experience in data science, analytics, or quantitative intelligence analysis, showing progressive technical development and outcomes.
Proficiency in Python or other scripting languages.
Experience deploying data science applications (for example, using Streamlit) with Docker, Kubernetes, or OpenShift.
Familiarity with information retrieval and search technologies such as Elastic Stack (Elasticsearch and Kibana) and/or SQL.
Experience collaborating with a hybrid team of analysts, engineers, and developers to conduct research and develop deployable yet user‑friendly algorithms and analytical platforms.
Previous work in data science or research focusing on data analytics or big data that does not fit into memory.
Proven track record of active learning and creative problem solving.
Ability to analyze software development or data acquisition requirements and determine optimal, cost‑effective solutions.
Familiarity with git or other version control systems.
Demonstrated ability for independent ownership of work and timely delivery with minimal supervision.

Technologies

Python
Streamlit
Docker
Kubernetes
OpenShift
Elasticsearch
Kibana
SQL
git
neo4j
Graph ML
AWS

View full job page →

1mo ago

Data Scientist

Leidos Maryland 🇺🇸 Remote

Maryland

1mo ago Closed

$70k - $126k/yr Full time Python Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

Data Scientist at Leidos focused on mission-focused big data and predictive analytics for national security, with research-level analytics and cross-functional collaboration, and flexible on-site/remote work based on client requirements.

Responsibilities

Collaborate with a cross-disciplinary team of data scientists, software engineers, network specialists, senior investigators, program managers, researchers, and data analysts to design, build, and refine a Search and Discovery platform that locates, organizes results, disseminates findings via reports, and supports publications and presentations.
Pursue research tasks to identify optimal indexing and data organization strategies to enhance discovery.
Develop agents and tools as reusable elements within a broader agent-based solution space.
Manage multiple concurrent projects, use open-ended guidance, and independently or with teammates uncover mission-relevant insights, then package and present findings to non-technical audiences.
Apply curiosity, quantitative acumen, and customer focus to identify novel data sources across fields, improve predictive algorithm performance, and promote adoption of advanced data analytics platforms with a skilled, motivated team.
Utilize expertise in research design, exploratory analysis, quantitative methods, UI application design, and customer outreach and engagement.

Requirements

Bachelor's degree in a quantitative or analytical field (examples include Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science) or Master's degree or equivalent graduate degree with certificate-based advanced training.
4+ years of experience in data science, analytics, or quantitative intelligence analysis, demonstrating progressive technical development; with a Master's degree, 2+ years of experience is required.
Active TS/SCI clearance required; able to obtain and maintain a polygraph.
Proficient in Python.
Experience deploying data science applications (for example Streamlit) using Docker, Kubernetes, and/or OpenShift.
Experience with information retrieval and search technologies, such as Elastic Stack (Elasticsearch, Kibana) and SQL.
Familiar with Git and cooperative software development practices.
Experience working with a hybrid team of analysts, engineers, and developers to research, build, and deploy complex yet user-friendly algorithms and analytics platforms.
Demonstrated active learning and creative problem solving.
Experience in co-development and cooperative research to maximize reuse of team products.

Technologies

Python
Docker
Kubernetes
OpenShift
Elastic Stack (Elasticsearch, Kibana)
SQL
Git
Streamlit
Agno
CrewAI
Pydantic AI
LangGraph

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

View full job page →

1mo ago

Data Engineer

State Farm Bloomington, IL

Bloomington, IL

1mo ago Closed

$90k - $120k/yr Full time Automation Cloud Cloud Automation

This position is no longer accepting applications (closed Aug 5, 2026).

Job Description

State Farm offers a hybrid Data Engineer role in Bloomington, IL, focused on designing scalable data pipelines, integrations, and reusable data products that support business continuity and an expanding enterprise data ecosystem. You will collaborate with software engineers, recovery coordinators, and business partners to boost visibility, enable informed decisions, and strengthen resiliency across the organization. The culture centers on neighborly service and thoughtful technology that enhances the customer experience.

Overview

Being good neighbors and investing in communities is core to State Farm. The company aims to become a Next Gen Good Neighbor by leveraging technology to strengthen human connections and improve the customer journey. As an employee, you will spend less time navigating systems and more time applying judgment, empathy, and expertise in moments that matter.

Responsibilities

Help build and evolve data solutions that support business continuity, resiliency, and recovery readiness across the enterprise.
Collaborate with software engineers, recovery coordinators, and business partners to deliver scalable data pipelines, integrations, and reusable data products that improve visibility, enable informed decision-making, and strengthen the enterprise data ecosystem.

Requirements

Experience designing, building, and supporting scalable data pipelines, integrations, and enterprise data solutions.
Proficiency with Python and SQL, along with modern database or platform technologies.
Experience with data modeling, data quality, data governance, and secure data practices.
Ability to troubleshoot distributed systems and understand dependencies across applications, data, and infrastructure.
Strong collaboration skills and the ability to work with technical teams and business stakeholders to deliver reliable, reusable outcomes.

Technologies

Python
SQL
Graph databases
Knowledge graphs
Kubernetes
OpenShift
Infrastructure as Code
Cloud automation

Benefits

Get Paid: On top of our competitive pay, you are eligible for an annual raise and bonus.
Stay Well: Health and wellbeing programs with most premiums paid by State Farm; multiple plan options including a high deductible plan; 100% coverage for in-network preventative care; access to vision, dental, telemedicine, 24/7 mental health professionals, and more.
Develop and Grow: Industry-leading training, tuition assistance, employee resource groups, and mentoring.
Plan Ahead: Fertility, IVF, or adoption assistance; college coaching; national discount programs; financial workshops and coaching; savings accounts and credit union options.
Take a Little You Time: Generous time off up front plus parental leave, holidays, life leave, bereavement, and community service days.
Give Back: Matching Gift Program, Good Neighbor Grant Program, and Employee Assistance Fund.
Finish Strong: 401(k) with company contributions up to 7% and access to financial planning resources.

Hybrid Work Environment

This role is hybrid. Qualified candidates must live within a 180-mile radius of a hub location and plan to spend time working from home and in the office.

Bloomington, IL
Richardson, TX
Atlanta, GA
Tempe, AZ

Sponsorship

Applicants must be eligible to work in the United States immediately. State Farm will not sponsor work authorization for this opportunity.

Additional experience that may be beneficial

Experience with graph databases, knowledge graphs, or relationship-based data modeling.
Experience with container platforms such as Kubernetes or OpenShift, Infrastructure as Code, or cloud automation.
Experience with event-driven architectures, APIs, enterprise integrations, or workflow orchestration.
Experience with observability, resiliency, disaster recovery, or business continuity solutions.
Experience with real-time data processing, AI-enabled solutions, or modern data platforms.

View full job page →

3mo ago

Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite

Yoh, A Day & Zimmermann Company Jersey City, NJ

Jersey City, NJ

3mo ago Closed

$56 - $80/hr Contract Apache Airflow Automation Contract Development

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

What you get with Yoh, a Day & Zimmermann Company, goes beyond a competitive hourly rate. Eligible employees receive a comprehensive benefits package and access to certification and training opportunities, plus a collaborative, hybrid onsite work environment in Jersey City, NJ. This contract role offers an hourly range of USD 56 - 80, with weekly epayroll and a pathway to contribute to mission-critical data platforms.

This contract Senior Data Engineer role centers on building and optimizing Airflow DAGs, modeling with dbt Core, and operating in Kubernetes/OpenShift environments on-prem, with on-site collaboration in Jersey City.

Responsibilities

Design, operate, and tune scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads.
Develop Apache Airflow DAGs hands-on within Kubernetes-based on-prem OpenShift environments.
Create and deploy dbt Core models within an on-prem Kubernetes/OpenShift setup.
Architect workflow orchestration, data modeling, performance optimization, and distributed workload management in containerized environments.
Collaborate with infrastructure teams on Kubernetes operations, Airflow design and implementation, and on-prem dbt model development.

Requirements

10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments.
Hands-on experience deploying dbt Core and Apache Airflow on Kubernetes, specifically within an on-prem OpenShift environment.
Close collaboration with infrastructure teams on Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup.
Deep, practical experience with dbt and Airflow within Kubernetes-based, on-prem environments.

Technologies

Apache Airflow
dbt Core
Kubernetes
OpenShift

View full job page →

OpenShift Data Jobs

Data Scientist

Data Scientist

Data Engineer

Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite

Get OpenShift Data Jobs alerts