data analyst

data scientist

data analyst ii

senior data engineer

data analyst - blue team Jobs in Washington

data analyst - blue team

big data engineer

ShadowObjects, LLC

<div>Job Title: Data Analytics Engineer 
Clearance Requirement: Active DoD Secret Clearance required 
Location: Remote / Pentagon<h3 class="jobSectionHeader">
Position Overview</h3>
The Data Analytics Engineer is a hybrid role combining Data Analyst, Data Engineer, and Data Scientist responsibilities. This position operates with a high level of autonomy, owning projects end-to-end across functional areas. The ideal candidate is proactive, solution-oriented, and capable of identifying opportunities, reducing complexity, and delivering efficient, high-quality data solutions.
This role also provides guidance to team members, helps remove roadblocks, and contributes to the continuous improvement of processes, systems, and deliverables.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Data Analysis &amp; Insights<ul><li>
Gather, clean, and analyze complex datasets using advanced analytical techniques</li><li>
Apply statistical methods to identify trends, patterns, and anomalies</li><li>
Conduct exploratory data analysis (EDA) to support decision-making</li><li>
Translate data findings into actionable insights for technical and non-technical stakeholders</li></ul>
Data Engineering &amp; Pipeline Development<ul><li>
Design, develop, and maintain ETL/ELT pipelines using Databricks and Delta Lake</li><li>
Implement Medallion Architecture (Bronze, Silver, Gold) to ensure data quality and scalability</li><li>
Manage data ingestion processes with a focus on traceability and governance (e.g., Collibra)</li><li>
Build and maintain data pipelines within DoD environments such as Advana/Jupiter</li><li>
Troubleshoot, debug, and optimize data pipelines, identifying root causes and implementing solutions</li></ul>
Data Visualization &amp; Reporting<ul><li>
Develop dashboards, reports, and visualizations using tools such as Tableau, Power BI, Qlik, or Foundry</li><li>
Create interactive dashboards and reports to support operational and strategic decisions</li><li>
Ensure accuracy, quality, and usability of all data visualizations and deliverables</li></ul>
Integration &amp; System Support<ul><li>
Collaborate with data engineers, analysts, scientists, and stakeholders to deliver integrated data solutions</li><li>
Support real-time data streaming using Databricks Structured Streaming</li><li>
Optimize data storage solutions leveraging Delta Lake capabilities (e.g., schema evolution, time travel)</li></ul>
Governance &amp; Compliance<ul><li>
Maintain data lineage and governance using tools such as Collibra</li><li>
Ensure compliance with data security, privacy, and DoD requirements</li><li>
Establish and enforce data quality standards across multiple data sources</li></ul>
Collaboration &amp; Communication<ul><li>
Work closely with cross-functional teams to gather and refine requirements</li><li>
Communicate findings, recommendations, and metrics clearly and professionally</li><li>
Track assigned tasks and provide regular updates to leadership</li><li>
Mentor junior team members and support team development initiatives</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Active DoD Secret Clearance</li><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Engineering, or a related field</li><li>
5+ years of experience in data engineering and building data pipelines and architectures</li><li>
5+ years of experience in data analysis, data mining, or business intelligence</li><li>
3+ years of experience developing data solutions using Python, SQL, and/or PySpark in big data environments (e.g., Databricks, Snowflake)</li><li>
Strong experience with data visualization tools (Tableau, Power BI, Qlik, Foundry) and advanced Excel (macros, pivot tables, VBA)</li><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud</li><li>
Familiarity with big data frameworks (Hadoop, Spark, Kafka)</li><li>
Strong understanding of ETL processes, data warehousing, and BI best practices</li><li>
Proven ability to analyze large datasets and communicate insights effectively</li><li>
Strong problem-solving skills and attention to detail</li><li>
U.S. work authorization required</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Master&rsquo;s degree in Data Engineering, Computer Science, or related field</li><li>
Experience with DoD data platforms such as Advana and Jupiter</li><li>
Familiarity with statistical methods (e.g., hypothesis testing, regression analysis)</li><li>
Experience with SAP, Foundry, or advanced analytics platforms</li><li>
Experience with NoSQL databases (e.g., Cassandra, MongoDB)</li><li>
Knowledge of containerization tools (Docker, Kubernetes)</li><li>
Experience with version control systems (Git) and Agile methodologies (Scrum, Kanban)</li><li>
Prior experience in a client-facing government environment</li></ul><h3 class="jobSectionHeader">
Equal Employment Opportunity Statement</h3>
ShadowObjects, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.</div>

Data Analytics Engineer

Resonate

<div>
 Resonate is a leading provider of high-quality, AI-powered consumer data, intelligence, and technology, empowering marketers to create a more personalized world that increases customer acquisition and lifetime value. Our SaaS platform, Ignite, and our Data-as-a-Service (DaaS) offerings provide unparalleled insights into consumer motivations, values, and behaviors, enabling our clients to connect with their target audiences in more meaningful and effective ways. We are a dynamic and fast-growing company seeking passionate and innovative individuals to join our team!
 
 
 As a Data Engineer on the big data team, you will design, build, and maintain critical data pipelines that power the Resonate business. You will collaborate with senior engineers and product management to deliver scalable data solutions. You will be a member of a high-quality, dedicated and friendly team passionate about delivering quality products, solving hard problems, and transforming the data with AI.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate in the design, planning and development of products and initiatives to deliver on product requests for the data engineering squad
 </li>
 <li>
 Design, develop, and maintain ETL/ELT pipelines using Spark and Scala on AWS EMR
 </li>
 <li>
 Build and optimize data workflows processing terabyte-scale datasets in S3 and Snowflake
 </li>
 <li>
 Monitor pipeline health using Grafana dashboards and resolve data quality issues
 </li>
 <li>
 Write clean, testable code with comprehensive unit and integration tests
 </li>
 <li>
 Participate in code reviews, technical design discussions, and sprint planning
 </li>
 <li>
 Support production operations including on-call rotation and incident response
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience Requirements
 
 
 
 <ul>
 <li>
 5+ years professional experience in software engineering, data engineering, or a related field
 </li>
 <li>
 3+ years of experience in Spark/Scala DataFrame/Dataset APIs
 </li>
 <li>
 Prior experience with debugging and problem solving in Big data ecosystem
 </li>
 <li>
 Proven experience in tuning multi-terabyte / petabyte scale Spark Applications
 </li>
 <li>
 Prior relational database experience is required
 </li>
 <li>
 Deep knowledge of software architecture and engineering standard methodologies, especially modern cloud computing stacks for processing Big Data.
 </li>
 <li>
 Experience with AWS (EMR, S3, Lambda), Spark, Scala, Kafka, Snowflake, Grafana, Hadoop, Elastic Stack, Docker for containers, etc.
 </li>
 <li>
 Strong understanding of the different parts of the software development lifecycle, from exploration and design to delivery to production
 </li>
 <li>
 Good understanding of principles of solution architecture, technical design, data structures, and data modeling
 </li>
 <li>
 Enthusiasm/experience leveraging generative AI tools to accelerate data engineering work - including pipeline development, system monitoring, and improving developer productivity
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in using probabilistic data structures
 </li>
 <li>
 Demonstrated success in implementing scaled high cardinality data system
 
 
 </li>
 </ul>
 
 Education Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, or equivalent
 
 
 </li>
 </ul>
 
 Resonate Attributes
 
 
 
 At Resonate, we care about more than your experience on paper. We look for teammates who bring the right mindset and ways of working to help us do great work, together. The Resonators who thrive here embody these qualities:
 
 
 <ul>
 <li>
 Proactive Problem-Solving: You spot challenges early and take initiative to solve them.
 </li>
 <li>
 Ownership: You take initiative, follow through, and hold yourself accountable.
 </li>
 <li>
 Collaboration: You value working with others and building strong, respectful relationships.
 </li>
 <li>
 Adaptability: You stay steady through change and adjust when needed.
 </li>
 <li>
 Growth Mindset: You're open to learning, feedback, and trying new things.
 </li>
 <li>
 Customer Focus: You keep the end user in mind and aim for impact.
 </li>
 <li>
 Clear Communication: You express ideas simply and listen to understand.
 </li>
 <li>
 Integrity &amp; Empathy: You act with honesty and consider the people around you.
 </li>
 <li>
 Strategic Thinking: You focus on what matters most and work with purpose.
 </li>
 <li>
 Drive: You show up motivated and ready to move things forward.
 </li>
 <li>
 Readiness: You bring the skills to contribute meaningfully from day one.
 
 
 </li>
 </ul>
 These attributes are the foundation of how we work and grow together!
 
 
 
 Benefits
 
 
 
 Besides the opportunity to work alongside smart, fun, and hard-working colleagues at Resonate, you'll also enjoy uncapped growth potential, the chance to have a meaningful impact on the company, and the opportunity to work on cutting-edge, AI-powered marketing data and identity solutions that are forever changing the industry. From a competitive 401(k) match to an Open PTO policy that encourages real time off, we're committed to creating an environment where our team members can thrive both inside and outside of work. Our comprehensive benefits package is designed to meet the diverse needs of our employees and their families. A full list of benefits is shared with candidates following their initial conversation with our HR team, so you'll have a clear understanding of the support and resources available to you as part of the Resonate team.
 
 
 
 Location
 
 
 
 At Resonate, we take a remote-first approach to work, offering a flexible environment that empowers our team to collaborate seamlessly across different locations. While we embrace remote work, we also encourage thoughtful and intentional in-person collaboration to foster connection and teamwork when needed. Whether you're working from home or joining us in one of our state-of-the-art offices, you'll have the tools and resources you need to succeed.
 
 
 Resonate is headquartered in Reston, VA, with offices in New York City and Washington, D.C.
 
 
 
 Our EEO Statement:
 
 
 
 
 Resonate is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outline by federal, state, or local laws.
 
 
 
 Find out more about our story at
 
 www.resonate.com
 
 .
</div>

Data Engineer

Booz Allen Hamilton

<div>Data Engineer, Lead
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there&rsquo;s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it&rsquo;s gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence.
As a Data Engineer at Booz Allen, you&rsquo;ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You&rsquo;ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
Here, you&rsquo;ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You&rsquo;ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience in database architecture and modeling</li><li>
5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data</li><li>
5+ years of experience developing scalable ETL or ELT workflows for reporting and analytics</li><li>
5+ years of experience using Python or SQL</li><li>
5+ years of experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka</li><li>
2+ years of experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud</li><li>
Secret clearance</li><li>
Bachelor&rsquo;s degree
</li></ul>Nice If You Have:<ul><li>
5+ years of experience with UNIX or Linux, including basic commands and Shell scripting</li><li>
5+ years of experience with Agile engineering practices</li><li>
3+ years of experience with NoSQL implementation, including MongoDB or Cassandra</li><li>
3+ years of experience with data warehousing, including AWS Redshift, MySQL, MSSQL, Orcale, Postgresql, or Snowflake</li><li>
Cybersecurity Certification such as Security+ Certification, AI and ML Associate, Red Hat, Linux+, or AWS Certification such as AWS Solutions Architect Certification</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Data Engineer, Lead

KamisPro

<div>
 
 Databricks Data Scientist
 
 
 
 
 
 Washington D.C. (hybrid onsite)
 
 
 165 - 185K + benefits
 
 
 
 
 
 
 
 
 
 Overview
 
 
 
 
 
 
 
 
 
 As a Databricks Data Scientist, you will leverage the Databricks platform to analyze large-scale, complex datasets for a highly visible consumer-facing product. This role focuses on transforming data into actionable insights that drive product strategy, customer experience improvements, and business outcomes. You will work cross-functionally to uncover trends, validate hypotheses, and deliver scalable analytical solutions.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Analyze complex, high-volume datasets using the Databricks platform to identify trends, patterns, and actionable insights
 </li>
 <li>
 Perform data collection, cleansing, and exploratory data analysis (EDA) to ensure data quality and usability
 </li>
 <li>
 Apply statistical methods and hypothesis testing to validate assumptions and identify significant trends
 </li>
 <li>
 Develop and implement predictive models and machine learning solutions to support business objectives
 </li>
 <li>
 Analyze customer behavior data, with a focus on retention, churn, and engagement metrics
 </li>
 <li>
 Create data visualizations and dashboards to effectively communicate insights to stakeholders
 </li>
 <li>
 Collaborate with product, engineering, and business teams to translate analytical findings into strategic recommendations
 </li>
 <li>
 Utilize Python and SQL to manipulate data, build models, and implement scalable analytical workflows
 </li>
 <li>
 Identify anomalies, correlations, and opportunities within large datasets to inform decision-making
 </li>
 <li>
 Contribute to the design and optimization of data pipelines and analytics processes within the Databricks ecosystem
 </li>
 </ul>
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Ability to pass a Public Trust Background Investigation
 </li>
 <li>
 Bachelor&rsquo;s degree or four years of experience in lieu of degree
 </li>
 <li>
 8+ years of relevant experience delivering data engineering solutions that drive measurable customer or user value
 </li>
 <li>
 Advanced experience in predictive modeling and analytics, including regression, classification, clustering, and time-series analysis
 </li>
 <li>
 Expert-level proficiency in data science methodologies, including statistical analysis, hypothesis testing, and machine learning model development
 </li>
 <li>
 Strong expertise in Databricks platform, including building, deploying, and optimizing data pipelines and analytical workflows
 </li>
 <li>
 Experience in data visualization tools and techniques to effectively communicate insights to technical and non-technical audiences
 </li>
 <li>
 Experience with big data engineering concepts, including working with distributed data systems and large-scale data processing
 </li>
 <li>
 Advanced proficiency in Python and SQL for data manipulation, feature engineering, and model implementation
 </li>
 <li>
 Proven ability to analyze customer behavior data, with a focus on retention, churn analysis, and user engagement
 </li>
 <li>
 Experience working with large, complex data sets, including data wrangling, cleaning, and exploratory data analysis (EDA)
 </li>
 <li>
 Strong problem-solving skills with the ability to translate business questions into analytical frameworks and actionable insights
 </li>
 <li>
 Excellent written and verbal communication skills with the ability to explain technical decisions in terms of customer impact
 </li>
 </ul>
 
 
</div>

Databricks Data Scientist

<div>About EAB

At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,800 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across enrollment, student success, institutional strategy, data analytics, and advancement. We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.

At EAB, we serve not only our partner institutions but each other&mdash;that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.

For more information, visit our Careers page.

The Role in Brief:

Principal Data Engineer

The Principal Data Engineer, also referred to across the team as the Data Solutions Lead (DSL), will design, implement, manage and improve on data integration, warehousing, and analytics solutions for internal and external partners. In so doing, the DSL is responsible for maintaining EAB&rsquo;s best practices as they guide users&rsquo; interaction with EAB Technology, manage their requirements, integrate data from their applications to power EAB services and products, and render all required technical services and consulting to ensure data are returned in a useful, insightful, and consistent manner. We're looking for a leader who can operate at the intersection of data, product, and customer outcomes, understanding not just how systems are built, but how they deliver real value in practice.

This position is ideally based out of EAB&rsquo;s Washington, D.C. office or Richmond, VA office. It is also open to remote work within the continental U.S.

This hire may be required to travel to EAB&rsquo;s central office in Washington, D.C. on a quarterly basis, and occasionally visit partners to firm up engagement and kick off high-touch projects. The current travel expectation does not exceed 12 days a year.

This position is also posted at the Senior Data Engineer level; candidates are being considered at both levels for the current opening.

Primary Responsibilities:
<ul>
<li>Lead project discovery for reporting and data solutions by facilitating external stakeholder calls, translating business questions into structured data needs and acceptance criteria, mapping data elements, identifying gaps and risks, and producing clear functional and technical requirements to guide design, build, and validation.</li>
<li>Support and advise technical leaders on system design and warehouse best practices, guiding teams and partners through complex data mapping and reconciliation challenges</li>
<li>Design end-to-end integration and analytic solutions including ETL pipelines, integrations between different platforms, data quality and freshness validations, and business intelligence visualizations</li>
<li>Independently break down, estimate, design, plan and deliver medium and large sized data-driven projects</li>
<li>Understand and communicate base integration requirements on applications interfacing between on-premise and cloud architecture, especially on AWS</li>
<li>Codify high-performing SQL for scalable data transformation to support replicable data pipelines</li>
<li>Identify, investigate, and resolve performance and production issues, proactively recognizing recurring patterns and developing scalable solutions to prevent future occurrences</li>
<li>Ensure high-quality deliverables by partnering with project teams to maintain accuracy, meet requirements, and drive measurable impact</li>
<li>Guide junior engineers on tasks and unit projects</li>
<li>Collaborate with development team and product managers to enhance existing product capabilities and develop new solutions</li></ul> 


Basic Qualifications:
<ul>
<li>Bachelor's degree in a related field or equivalent work experience</li>
<li>8+ years of advanced SQL programming experience, all syntaxes allowed, Postgres preferred</li>
<li>2+ years of basic Python programming experience on relational data management, including popular data management libraries</li>
<li>2+ years of cloud architecture scoping, design, and implementation work, AWS preferred</li>
<li>Deep understanding of how data flows across systems</li>
<li>Demonstrated problem-solving skills and ability to analyze problems and solve them creatively</li>
<li>Experience writing and code-reviewing complex stored procedures</li>
<li>Ability to ensure data integrity using standard rules, procedures, testing and validation</li>
<li>Detail-oriented with ability to multitask and adapt to changing priorities</li>
<li>Strong communication skills</li></ul> 


Ideal Qualifications:
<ul>
<li>Master&rsquo;s degree in related field or equivalent work experience</li>
<li>Experience communicating with external stakeholders and executives to strengthen integration of data systems, translate business needs into measurable impact, and advise on data enhancements and improvements
</li><li>Practical knowledge of how data warehouses are utilized and designed</li>
<li>SPM certifications or demonstrated planning, organizing and time management skills</li>
<li>Ability to work independently as well as collaborate with teammates to accomplish common goals in a fast-paced environment</li>
</ul><ul><li>Commitment to embracing a continual learning environment and contributing to a dynamic and welcoming culture of fairness, authenticity, and belonging in support of EAB&rsquo;s mission, values, and aspiration</li>
</ul>
If you&rsquo;ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome new perspectives and learn from each other&rsquo;s unique experiences. We would encourage you to submit an application if this is a role you would be passionate about doing every day.

Compensation:

The anticipated starting salary range for this role is $91,500 &ndash; $130,000 per year. Actual salary varies due to factors that may include but not be limited to relevant experience, skills, and location. At EAB, it is not typical for an individual to be hired at or near the top of the starting salary range for their role.

This hire will additionally be eligible for discretionary bonus or incentive compensation. Variable compensation may depend on various factors, including, without limitation, individual and organizational performance.

Benefits:

Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:
<ul>
<li>Medical, dental, and vision insurance plans; dependents and domestic partners eligible</li>
<li>20+ days of PTO annually, in addition to paid firm and floating holidays</li>
<li>Daytime leave policy for community service and flextime for fitness activities (up to 10 hours per month each)</li>
<li>401(k) retirement savings plan with annual discretionary company matching contribution</li>
<li>Health savings account, healthcare and dependent care flexible spending account, and pre-tax commuter plans</li>
<li>Employee assistance program with counseling services and resources available to all employees and immediate family</li>
<li>Wellness programs including gym discounts, incentives to promote healthy living, and family access to the leading app for sleep, meditation, and relaxation</li>
<li>Fertility treatment coverage and adoption or surrogacy assistance</li>
<li>Paid parental leave with phase back to work program for birthing and non-birthing parents</li>
<li>Access to milk shipping service to support nursing employees during business travel</li>
<li>Discounted pet health insurance coverage for dog and cat family members</li>
<li>Company-provided life, AD&amp;D, and disability insurance</li>
<li>Financial wellness resources and membership in a robust employee discount program</li>
<li>Access to employee resource groups, merit-based advancement, and dynamic professional growth opportunities</li>
</ul>
Benefits kick in day one; learn more at eab.com/careers/benefits.
This opening is not eligible for visa sponsorship at this time; EAB will thus consider candidates who possess U.S. work authorization that does not require employment-based visa sponsorship now or in the future.

At EAB, we believe that to fulfill our mission to &ldquo;make education smarter and our communities stronger&rdquo; we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.

To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don&rsquo;t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.</div>

Principal Data Engineer

Rumble

<div><div>Rumble is the Freedom-First technology platform. We proudly offer a video platform, cloud services, advertising solutions, and a non-custodial cryptocurrency wallet.</div>
Rumble is seeking an experienced Infrastructure Engineer (Data Center) responsible for the operation, maintenance, and optimization of critical data center infrastructure.

As a key member of the Data Center Services Team, you will:
<ul>
<li>Build, configure, and deploy physical and virtual servers for various applications.</li>
<li>Perform ongoing maintenance, upgrades, and health checks on servers.</li>
<li>Develop and run scripts for automation of administrative and configuration management tasks (Ansible, Terraform).
</li><li>Perform OS and security patching and upgrades.</li>
<li>Diagnose and resolve system issues efficiently and effectively.</li>
<li>Monitor infrastructure-related tickets and respond within established SLAs.</li>
<li>Create and maintain clear technical documentation, processes, and procedures.</li>
<li>Travel to data center locations as required to support operations.</li>
</ul>
Required Qualifications
<ul>
<li>3+ years of experience working with and building virtual machine&ndash;based solutions.</li>
<li>3+ years of experience building container-based solutions.</li>
<li>3+ years of hands-on Linux administration experience (RHEL, Ubuntu, Rocky), including enterprise server administration (hardware and OS).
</li><li>Ability to work independently as well as collaboratively on a high-performing team.</li>
<li>Strong communication skills and proficiency in documentation.</li>
<li>Ability to think creatively and propose non-traditional or innovative solutions. And has the capacity to implement in a timely manner.
</li></ul>Preferred Qualifications
<ul>
<li>Familiarity with security and compliance
</li><li>Experience with Proxmox or similar open-source virtual machine environments and containers.</li>
<li>Working knowledge of installation and basic administration of open-source databases.
</li><li>Networking experience (load balancing, firewalls, DNS).</li>
<li>Strong awareness of security and compliance best practices.</li>
<li>Python and Bash scripting experience.</li>
<li>Familiarity with Disaster Recovery / Business Continuity (DR/BC) processes.</li>
</ul>
Desired Qualifications
<ul>
<li>Linux certification, CompTIA A+, or equivalent technical experience.</li>
<li>Experience with one or more programming languages.</li>
</ul>
Annual Compensation Range:

$107,000 - $134,000 USD base + benefits + equity

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.<div>
Why Our Team Loves Working Here:
<ul>
<li>We are making a significant financial impact for our video creator community; we're proud of their success stories</li>
<li>We enjoy challenging the status quo and going head-to-head against Big Tech</li>
<li>We aren't afraid to try new things; we act fast and want to win
</li><li>We pay competitive salaries and provide great benefits</li>
</ul>
EEO Statement:
 
Rumble is an equal opportunity employer. We promote an equal playing field where everyone has the same opportunities regardless of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Rumble is an active participant in the e-verify program.
Physical demands of the position: 
While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time while using a computer and/or keyboard. The employee is required to communicate verbally and hear. The employee may be required to walk, reach with hands and arms, balance, and stoop or kneel. The employee may occasionally be required to lift and/or move up to 15 pounds. Specific vision abilities required by this job include clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including the use of computers.</div></div>

Infrastructure Engineer (Data Center)

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 IdeaCrew
 
 to connect them with exceptional professionals for this role.
 
 
 
 Junior Data Engineer
 
 
 Job Type: Full-Time
 
 
 Salary: $100,000 to $120,000 / year
 
 
 Full-Time
 
 
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 Washington, DC / Remote
 
 
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 </ul>
 IdeaCrew is currently seeking junior Data Engineers to join our innovative, hard-working team as we disrupt healthcare technology.
 
 
 As a member of our Analytics team, you will work with a modern data stack, build scalable data pipelines with python, and support external and internal reporting needs.
 
 
 A Junior Data Engineer for IdeaCrew will
 
 
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 <li>
 Build and scale data pipelines in production environments using a modern data stack.
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 Carry out complex analysis utilizing PostgresSQL.
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 Implement data modeling best practices to support analytics and reporting needs.
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 Design technical architectures and infrastructure components.
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 Create automated data and code quality checks.
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 Implement and enforce data governance policies and best practices to ensure data security and compliance.
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 Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions.
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 Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.
 
 
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 </ul>
 
 Desired Skills &amp; Expertise
 
 
 
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 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.
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 3+ years of hands-on experience with Python for data processing in a production environment.
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 2+ years of experience with PostgreSQL.
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 Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.
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 Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.
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 Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.
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 Experience with cloud platforms (e.g., AWS, GCP, Azure) in a production environment.
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 Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus
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 </ul>
</div>

Junior Data Engineer

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