Explore 3 python cloud platform developer jobs from 2 hiring companies in Atlantic, IA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer Jobs

Conagra Brands

Agile Defense

Hybrid

Onsite

<div><div>Reporting to the Manager of Data Platforms &amp; Engineering, you will design, automate, and operate scalable, reliable data platforms—primarily Databricks and Palantir Foundry—on Conagra’s Azure environment. Your mission is to enable consistent, high‑quality data engineering and data product delivery through CI/CD, Infrastructure‑as‑Code, and strong disaster recovery practices. You will apply Site Reliability Engineering principles to strengthen automation, observability, and resilience across the data platform ecosystem.</div><h2></h2><h2><b>A Taste of Your Responsibilities</b></h2><ul><li>Build, operate, and optimize Databricks and/or Palantir Foundry workspaces, clusters, jobs, storage integrations, and platform configurations.</li><li>Manage workspace governance, cluster policies, secrets, access controls, and cost guardrails.</li><li>Automate platform provisioning, onboarding, and environment consistency through Infrastructure‑as‑Code.</li><li>Design and maintain CI/CD pipelines that enable consistent deployment of notebooks, transformations, libraries, and data products, supporting test‑driven development standards.</li><li>Standardize data product delivery using reusable pipeline templates and paved‑road deployment frameworks.</li><li>Enforce guardrails and quality gates to ensure reliable, safe, and compliant data product releases.</li><li>Participate in on‑call rotations for platform incidents.</li><li>Execute runbooks, lead postmortems, and drive improvements that enhance platform reliability.</li><li>Perform scheduled chaos testing and disaster recovery readiness checks.</li></ul><h2></h2><h2><b>Ingredients Required for Your Success</b></h2><ul><li>3&#43; years of experience in platform engineering, data platform operations, Site Reliability Engineering, DevOps, or similar roles.</li><li>2&#43; years of hands‑on experience supporting Databricks and/or Palantir Foundry in a production environment.</li><li>Strong troubleshooting skills across distributed systems, data pipelines, and integrations.</li><li>Proficiency in at least one scripting language such as Python or Bash.</li><li>Familiarity with cloud fundamentals (Azure or Google Cloud Platform), networking basics, and identity and access management concepts.</li><li>Strong experience with CI/CD, Infrastructure‑as‑Code, and platform‑level automation.</li><li>Experience with operational best practices including monitoring, alerting, incident response, and root‑cause analysis.</li><li>Strong communication skills and ease collaborating with engineering and business‑facing teams.</li><li>Preferred: 2&#43; years of experience operating cloud environments (Azure preferred).</li><li>Preferred: Experience with Terraform, policy‑as‑code, observability tooling, and disaster recovery engineering.</li><li>Preferred: Experience influencing platform strategy and mentoring teams on Site Reliability Engineering and DevOps for data engineering.</li></ul><p></p><div><b>Number of Days in Office: 3</b><br /><b>#LI-Hybrid</b><br /><b>#LI-SG1</b><br /><b>#LI-Associate</b></div></div><p></p><p style="text-align:inherit !important"></p><p style="text-align:left !important"><b>Compensation </b></p>Pay Range:$63,000-$93,000<p style="text-align:inherit"></p><p style="text-align:left"><i>The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.</i></p><p style="text-align:inherit"></p><p><b>Our Benefits</b></p><p></p><p>We care about your total well-being and will support you with the following, subject to your location and role:</p><ul><li><p>Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement</p></li><li><p>Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan</p></li><li><p>Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement</p></li><li><p>Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities</p></li></ul><p></p><p><b>Our Company</b></p><p></p><p>At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000&#43; person team across 40&#43; locations, you are empowered to reach your potential, make an impact and own your career. We&#39;re in the business of building champions – within our people and our iconic brands like Birds Eye®, Slim Jim® and Reddi-Wip®.</p><p></p><p>Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.</p><p></p><p></p><p><span>Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.</span></p>

Platform Engineer – Analytics Platform (Databricks | Palantir)

Platform Engineer

3+ years in platform engineering or similar; 2+ years with Databricks/Palantir Foundry; strong CI/CD, IaC, and cloud experience; Python or Bash; capable in Azure/GCP networking and IAM.

<div><p><span><span>Reporting to the Manager of Data Platforms &amp; Engineering, you will design, automate, and<span> </span></span><span>operate</span><span><span> </span>scalable, reliable data platforms—primarily Databricks and Palantir Foundry—within Conagra’s Azure environment. You will enable consistent, high‑quality data engineering and data product delivery through CI/CD, Infrastructure‑as‑Code, and robust Disaster Recovery, applying site reliability engineering principles to drive automation, observability, and resilience across the data platform ecosystem.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><b><span>A Taste of Your Responsibilities</span></b><span> </span></p></div><div><p><b><span>Data Platform Engineering (Primary Focus)</span></b><span> </span></p></div><div><ul><li><p><span><span>Build,<span> </span></span><span>operate</span><span>, and<span> </span></span><span>optimize</span><span><span> </span>Databricks and/or Palantir Foundry workspaces, clusters, jobs, storage integrations, and platform configurations.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Manage workspace governance, cluster policies, secrets, access controls, and<span> </span></span><span>cost</span><span><span> </span>guardrails.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Automate platform provisioning, onboarding, and environment consistency through Infrastructure‑as‑Code.</span></span><span> </span></p></li></ul></div><div><p><b><span>CI/CD for Data Engineering &amp; Data Products</span></b><span> </span></p></div><div><ul><li><p><span><span>Design and<span> </span></span><span>maintain</span><span><span> </span>CI/CD pipelines supporting consistent deployment of notebooks, transformations, libraries, and data products while supporting test‑driven development standards.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Standardize data product delivery using reusable pipeline templates and paved‑road deployment frameworks.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Enforce guardrails and quality gates to ensure reliable, safe, and compliant data product releases.</span></span><span> </span></p></li></ul></div><div><p><b><span>Resiliency &amp; Disaster Recovery</span></b><span> </span></p></div><div><ul><li><p><span><span>Strengthen platform resilience and Disaster Recovery readiness across environments.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Participate in on‑call rotations for platform incidents.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Execute runbooks, lead postmortems, and drive improvements for platform reliability.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Perform scheduled chaos testing and Disaster Recovery preparedness checks.</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><b><span>Ingredients Required for Your Success</span></b><span> </span></p></div><div><p><b><span>Required Qualifications</span></b><span> </span></p></div><div><ul><li><p><span><span>5&#43; years in platform engineering, data platform operations, site reliability engineering, DevOps, or related roles.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>3&#43; years of hands‑on experience supporting Databricks and/or Palantir in a production environment.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong troubleshooting skills across distributed systems, data pipelines, and system integrations.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Proficiency</span><span><span> </span>in at least one scripting language such as Python or Bash.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Familiarity with cloud fundamentals (Azure or Google Cloud Platform), networking concepts, and identity and access management.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Extensive experience with CI/CD, Infrastructure‑as‑Code, and platform‑level automation.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with operational excellence practices such as monitoring, alerting, incident response, and root‑cause analysis.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong communication</span><span><span> </span>skills and comfort collaborating with engineering teams and business partners.</span></span><span> </span></p></li></ul></div><div><p></p><p></p><p><b><span>Preferred Qualifications</span></b><span> </span></p></div><div><ul><li><p><span><span>3&#43;<span> </span></span><span>years</span><span><span> </span>operating cloud environments, with preference for Azure.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with Terraform, policy‑as‑code, observability tooling, and Disaster Recovery engineering.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Skill in influencing platform strategy and mentoring engineering teams on site reliability engineering and DevOps practices for data engineering.</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><b><span>Number of Days in Office: 3</span></b><span> </span></p></div><div><p><span><span>#LI-Hybrid</span></span><span><span> </span></span><br /><span><span>#LI-MSL</span></span><span><span> </span></span><br /><span><span>#LI-SG1</span></span><span> </span></p></div><p></p><p style="text-align:inherit !important"></p><p style="text-align:left !important"><b>Compensation </b></p>Pay Range:$81,000-$118,000<p style="text-align:inherit"></p><p style="text-align:left"><i>The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.</i></p><p style="text-align:inherit"></p><p><b>Our Benefits</b></p><p></p><p>We care about your total well-being and will support you with the following, subject to your location and role:</p><ul><li><p>Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement</p></li><li><p>Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan</p></li><li><p>Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement</p></li><li><p>Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities</p></li></ul><p></p><p><b>Our Company</b></p><p></p><p>At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000&#43; person team across 40&#43; locations, you are empowered to reach your potential, make an impact and own your career. We&#39;re in the business of building champions – within our people and our iconic brands like Birds Eye®, Slim Jim® and Reddi-Wip®.</p><p></p><p>Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.</p><p></p><p></p><p><span>Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.</span></p>

Senior Platform Engineer – Analytics Platform (Databricks | Palantir)

5+ years platform engineering/DevOps; 3+ years Databricks/Palantir; strong troubleshooting; Python or Bash; cloud fundamentals; CI/CD and IaC; observability and SRE practices.

<div><span style="font-size: 16px">At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.</span></div><div><br></div><div><span style="font-size: 16px">Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.</span></div><div><br></div><div>Requisition #: 1456 </div><div>Job Tittle: Data Engineer</div><div>Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL </div><div>Clearance: Active DoD Top Secret (or ability to obtain) </div><div>Citizenship: U.S. Citizenship required</div><div><br></div><div>Role Summary</div><div><br></div><div>Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.</div><div>You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.</div><div>This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.</div><div><br></div><div>Key Objectives</div><div><br></div><div>Objective 1: Design and Maintain Scalable Data Science Services</div><div>· Plan, develop, and maintain reusable services for data ingestion, transformation, and feature engineering that support AI/ML workflows.</div><div>· Implement core data science capabilities, such as entity resolution, classification, clustering, or prediction, within containerized environments that adhere to CI/CD, version control, and testing standards.</div><div>· Collaborate with DevSecOps engineers to integrate services into secure production environments using tools like Databricks, Docker, and Terraform.</div><div>· Ensure services meet performance, reliability, and security requirements consistent with DoD enterprise and cloud-native architecture.</div><div><br></div><div>Objective 2: Build and Operationalize AI/ML Solutions</div><div>· Develop and deploy standalone or embedded ML models for tasks such as decision support, automation, anomaly detection, and pattern recognition.</div><div>· Select and implement appropriate modeling techniques using Python, Spark, or cloud-native ML frameworks (e.g., SageMaker, MLflow).</div><div>· Maintain reproducibility and interpretability of model outputs to meet mission transparency and audit requirements.</div><div>· Package model inference services with well-documented APIs for integration into end-user applications and operational dashboards.</div><div><br></div><div>Objective 3: Perform Exploratory Data Analysis and Communicate Insights</div><div>· Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured datasets.</div><div>· Develop data visualizations and interpretive summaries that support stakeholder understanding and product team decision-making.</div><div>· Translate analytical findings into actionable recommendations using a mix of visual, narrative, and quantitative communication strategies.</div><div>· Contribute to the team’s shared library of analysis templates, reusable queries, and analytic workflows to accelerate future delivery.</div><div><br></div><div>Objective 4: Collaborate Across Teams to Deliver Mission Impact</div><div>· Engage with product managers and mission users to define data and model requirements aligned with operational goals.</div><div>· Work closely with engineers to ensure data science components align with technical constraints and deployment patterns.</div><div>· Participate in agile sprint planning, retrospectives, and demos, sharing progress and adjusting priorities based on feedback.</div><div>· Maintain strong documentation practices that enable handoff, reproducibility, and technical accountability.</div><div><br></div><div>Minimum Qualifications</div><div><br></div><div>· A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience</div><div><br></div><div>Preferred Skills and Experience</div><div><br></div><div>· 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.</div><div>· Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).</div><div>· Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).</div><div>· Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).</div><div>· Strong understanding of data validation, model testing, and performance evaluation techniques.</div><div>· Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.</div><div>· Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.</div><br/><br/>Requisition #: 1456 
Job Tittle: Data Engineer
Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL 
Clearance: Active DoD Top Secret (or ability to obtain) 
Citizenship: U.S. Citizenship required

Role Summary

Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.

Key Objectives

Objective 1: Design and Maintain Scalable Data Science Services
· Plan, develop, and maintain reusable services for data ingestion, transformation, and feature engineering that support AI/ML workflows.
· Implement core data science capabilities, such as entity resolution, classification, clustering, or prediction, within containerized environments that adhere to CI/CD, version control, and testing standards.
· Collaborate with DevSecOps engineers to integrate services into secure production environments using tools like Databricks, Docker, and Terraform.
· Ensure services meet performance, reliability, and security requirements consistent with DoD enterprise and cloud-native architecture.

Objective 2: Build and Operationalize AI/ML Solutions
· Develop and deploy standalone or embedded ML models for tasks such as decision support, automation, anomaly detection, and pattern recognition.
· Select and implement appropriate modeling techniques using Python, Spark, or cloud-native ML frameworks (e.g., SageMaker, MLflow).
· Maintain reproducibility and interpretability of model outputs to meet mission transparency and audit requirements.
· Package model inference services with well-documented APIs for integration into end-user applications and operational dashboards.

Objective 3: Perform Exploratory Data Analysis and Communicate Insights
· Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured datasets.
· Develop data visualizations and interpretive summaries that support stakeholder understanding and product team decision-making.
· Translate analytical findings into actionable recommendations using a mix of visual, narrative, and quantitative communication strategies.
· Contribute to the team’s shared library of analysis templates, reusable queries, and analytic workflows to accelerate future delivery.

Objective 4: Collaborate Across Teams to Deliver Mission Impact
· Engage with product managers and mission users to define data and model requirements aligned with operational goals.
· Work closely with engineers to ensure data science components align with technical constraints and deployment patterns.
· Participate in agile sprint planning, retrospectives, and demos, sharing progress and adjusting priorities based on feedback.
· Maintain strong documentation practices that enable handoff, reproducibility, and technical accountability.

Minimum Qualifications

· A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience

Preferred Skills and Experience

· 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
· Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
· Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
· Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
· Strong understanding of data validation, model testing, and performance evaluation techniques.
· Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
· Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
<br/><br/><div><span style="font-size: 16px">Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.&nbsp;</span></div><div><br></div><div><span style="font-size: 16px">What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.</span></div><div><br></div><div><span style="font-size: 16px">We also believe in supporting our employees by offering a competitive and comprehensive benefits package. To explore the benefits we offer, please visit our website under the Careers section.</span></div><div><br></div><div><b style="font-size: 16px">Happy&nbsp;</b><span style="font-size: 16px">- </span><u style="font-size: 16px">Be Infectious.</u></div><div><span style="font-size: 16px">Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.</span></div><div><br></div><div><b style="font-size: 16px">Helpful</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Supportive.</u></div><div><span style="font-size: 16px">Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.</span></div><div><br></div><div><b style="font-size: 16px">Honest</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Trustworthy.</u></div><div><span style="font-size: 16px">Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.</span></div><div><br></div><div><b style="font-size: 16px">Humble</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Grounded.</u></div><div><span style="font-size: 16px">Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.</span></div><div><br></div><div><b style="font-size: 16px">Hungry&nbsp;</b><span style="font-size: 16px">- </span><u style="font-size: 16px">Be Eager.</u></div><div><span style="font-size: 16px">Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.</span></div><div><br></div><div><b style="font-size: 16px">Hustle</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Driven.</u></div><div><span style="font-size: 16px">Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.</span></div><div><br></div><div><b style="font-size: 16px">Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></div>

Data Engineer

3+ years in data science, data engineering, or related field; strong Python, SQL, Spark, and ML tooling; experience with cloud data platforms; ability to work in DoD environment.

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