big data hadoop developer

Muller's Solutions

<div><p>M&uuml;ller&rsquo;s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.</p>
Key Responsibilities:<ul>
<li>Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.</li>
<li>Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs.</li>
<li>Ensure high data quality and integrity by implementing robust data validation and testing processes.</li>
<li>Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments.</li>
<li>Monitor and troubleshoot data processing workflows to ensure timely data delivery.</li>
<li>Document data architectures, processes, and workflows for knowledge sharing and compliance.</li>
<li>Stay ahead of industry trends and best practices in big data technologies and methodologies.</li><br>
</ul><br>
<br>
<b>Requirements</b><p><b><br>
Requirements:</b></p><ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience as a Big Data Engineer or in a similar data engineering role.</li>
<li>Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka.</li>
<li>Strong coding skills in programming languages like Java, Scala, or Python.</li>
<li>Familiarity with data processing frameworks and ETL tools.</li>
<li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery).</li>
<li>Analytical mindset and excellent problem-solving abilities.</li>
<li>Strong communication skills to collaborate effectively with technical and non-technical stakeholders.</li>
<li>A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines.</li>
</ul><p><b>Preferred Qualifications:</b></p><ul>
<li>Experience with machine learning frameworks and algorithms is a plus.</li>
<li>Knowledge of data governance and security best practices.</li>
<li>Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes.</li><br>
</ul><br>
<br>
<b>Benefits</b><p><br>
1- Attractive Package.
</p><p>2- Family Benefits.
</p><p>3- Visa.</p><p>
4-Air Tickets.</p></div><p></p>

Big Data Engineer

Müller's Solutions

<div>
 M&uuml;ller's Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka
  </li>
  <li>
   Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs
  </li>
  <li>
   Ensure high data quality and integrity by implementing robust data validation and testing processes
  </li>
  <li>
   Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments
  </li>
  <li>
   Monitor and troubleshoot data processing workflows to ensure timely data delivery
  </li>
  <li>
   Document data architectures, processes, and workflows for knowledge sharing and compliance
  </li>
  <li>
   Stay ahead of industry trends and best practices in big data technologies and methodologies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Technology, or a related field
  </li>
  <li>
   3+ years of experience as a Big Data Engineer or in a similar data engineering role
  </li>
  <li>
   Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka
  </li>
  <li>
   Strong coding skills in programming languages like Java, Scala, or Python
  </li>
  <li>
   Familiarity with data processing frameworks and ETL tools
  </li>
  <li>
   Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery)
  </li>
  <li>
   Analytical mindset and excellent problem-solving abilities
  </li>
  <li>
   Strong communication skills to collaborate effectively with technical and non-technical stakeholders
  </li>
  <li>
   A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with machine learning frameworks and algorithms is a plus
  </li>
  <li>
   Knowledge of data governance and security best practices
  </li>
  <li>
   Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 1- Attractive Package.
 <br/>
 <br/>
 2- Family Benefits.
 <br/>
 <br/>
 3- Visa.
 <br/>
 <br/>
 4-Air Tickets.
</div>


Noblis

<div>Responsibilities:
<div>
Noblis ESI is seeking an experienced <b>Big Data Engineer</b> to support our government customer in Chantilly, VA.</div><div></div><div><b><br>
Responsibilitites Include:</b></div><ul><li>
Designs scalable data architectures, leading ETL processes, and oversees the implementation of data storage solutions to include creating, manipulating, and maintaining large databases.</li><li>
Support the development, integration, and visualization of advanced analytics tools, ensuring efficient data access and insights generation.</li><li>
Optimize system performance and scalability, implementing continuous improvement initiatives.</li><li>
Architect, deploy, and maintain multiple, fast-turnaround capabilities used to perform various highly-visible and high-priority collection efforts.</li><li>
Strategically apply AI/ML to extract, format, and expose in indexed search tools relevant content such as raw text, tabular (CSV, Parquet, Avro) or nested (JSON, JSONL, XML), and other structured /unstructured data types. Data is expected to be of varying formats, schemas, and structures.</li><li>
Provide Data Engineering support to include cleaning, modeling, and formatting data of unknown formats.</li><li>
Move data between different cloud storage environments for critical requests.</li><li>
Coordinate with multiple entities, including mission partners, to ensure capabilities and deliverables meet defined requirements and tradecraft needs.</li><li>
Create and maintain collection capabilities and deliverables within the Customer&rsquo;s Amazon Web Services environment utilizing Customer approved AWS services.</li><li>
Validate collected data to ensure it meets data format requirements.</li><li>
Document all source code, including how to execute the code.</li><li>
Perform operations and maintenance on the collection capabilities and deliverables to adapt to changes in collection target, technologies, data formats, and naming conventions.</li></ul>
Required Qualifications:
<ul><li>Active Top Secret/SCI with Counterintelligence (CI) Polygraph.</li><li>
US Citizenship is required.</li><li>
Bachelor's degree and 14 years or more experience OR Master's degree and 12 years or more experience OR PhD and 9 years or more experience.</li><li>
Demonstrated experience with Python.</li><li>
Ability to maintain SQL and NO-SQL databases.</li><li>
Demonstrated experience with Tableau or Salesforce.</li><li>
Ability to create and manage AWS resources, including provisioning EC2 instances, writing and deploying Lambda functions, creating and writing to S3, and managing authorization appropriately across resources with IAM policies.</li><li>
One Active Certification: CCISO, CISM, CISSP, GSLC, SSCP, Sec+ or GSEC.</li></ul>
Desired Qualifications:
<ul><li>Degree in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering.</li><li>
Proven experience optimizing data pipelines, performing large-scale data processing, and ensuring data quality.</li><li>
Strong knowledge of data warehousing concepts, ETL processes, and distributed computing environments.</li></ul>
Overview:
<div><b>
Overview</b></div><div>
Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation&rsquo;s toughest challenges, delivering advanced solutions to our customers&rsquo; most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.</div><div></div><div><br>
We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org</div><div></div><div><b><br>
Why Work at Noblis</b></div><div></div><div><br>
At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer.</div><div></div><div><br>
Noblis has earned numerous workplace awards for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace.</div><div></div><div><i><br>
Remote/hybrid status is subject to change based on Noblis and/or government requirements.</i></div>
Commitment to Non-Discrimination:
<div>
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.</div><div></div><div><br>
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.</div><div>
EEO is the Law | E-Verify | Right to Work</div><br>
<br>
Total Rewards:
<div>
At Noblis we recognize and reward your contributions, provide you with growth opportunities, 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, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.</div><div></div><div><br>
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis&rsquo; total compensation package.</div><br>
<br>
Posted Salary Range: USD $146,200.00 - USD $228,400.00 /Yr.</div>

Guidehouse

<div><p>Job Family:</p>
Data Science Consulting<p><br>
Travel Required:</p>
Up to 10%<p><br>
Clearance Required:</p>
None<p>
What You Will Do:</p><p>
Guidehouse is seeking a Databricks Apps Developer to support the AI &amp; Data practice in designing and building interactive prototype solutions, demos, and reusable accelerators for the Databricks Center of Excellence (CoE). This role focuses on front-end development, user‑centric workflow design, and integration with modern Databricks features (such as Genie, AI/BI dashboards, Delta Live Tables, and Databricks Model Serving) to create compelling internal assets that showcase Guidehouse&rsquo;s technical capabilities.</p><p>
This is an exciting opportunity for someone who enjoys rapid prototyping, interface design, and hands-on development in a highly collaborative environment. This position is dedicated to internal innovation, developing reusable tools that strengthen Guidehouse&rsquo;s market offerings and support pursuit teams across our segments.</p><p>
Innovation &amp; Solution Development</p><ul><li>
Design and develop React-based user interfaces and interactive front-end components for data and AI prototype applications.</li><li>
Integrate Databricks capabilities, including Genie, AI/BI dashboards, Unity Catalog, MLflow, Delta tables, and REST APIs, into user-facing demo workflows.</li><li>
Build intuitive, well‑structured user experiences that highlight technical capabilities in client-ready demos and internal accelerators.</li><li>
Document front-end architecture and design patterns for repeatability.</li><li>
Collaborate on cross-functional teams to rapidly prototype and iterate on solutions, incorporating feedback from demo cycles to refine UX and functionality.</li><li>
Translate stakeholder goals into actionable user stories and acceptance criteria to guide front-end feature development.</li><li>
Integrate AI/LLM features via secure APIs and Databricks model-serving endpoints to enable prompt-driven or context-enriched UI flows.</li><li>
Develop reusable UI components, scaffolding, and templates to accelerate build-out of future prototypes.</li><li>
Contribute to internal frameworks that standardize demo environments, code structure, and deployment patterns across the practice.</li></ul><p>
Internal Collaboration &amp; Team Enablement</p><ul><li>
Partner closely with AI &amp; Data practice leaders to shape prototype application requirements and design prototype architectures aligned to go-to-market needs.</li><li>
Work with cross-functional teams of data scientists and data engineers to connect UI features to underlying Databricks capabilities (DLT, Workflows, Model Serving).</li><li>
Participate in Agile ceremonies (backlog refinement, sprint planning, reviews, retrospectives) and clearly communicate UI progress, risks, and dependencies.</li><li>
Support Go‑to‑Market (GTM) efforts by contributing demo scripts, pitch-ready UX workflows, and reusable assets for proposal teams.</li><li>
Share best practices, design guidance, and sample code with broader Guidehouse teams to promote internal capability uplift.</li><li>
Maintain organized backlogs, sprint documentation, and technical notes using Jira and Confluence.</li><li>
Support requirements gathering efforts to translate internal stakeholder and business needs into user stories to guide prototype application development.</li><li>
Mentor junior team members and contribute to reusable frameworks and accelerators.</li><li>
Contribute to thought leadership, business development, and best practice development across the AI &amp; Data team.</li></ul><p><br>
What You Will Need:</p><ul><li>
US Citizenship is required.</li><li>
Bachelor&rsquo;s degree in computer science, engineering, information systems, or a related field.</li><li>
Minimum THREE (3) years of experience in front-end software development.</li><li>
Strong proficiency in React, Typescript/Javascript, HTML/CSS, and UI state management frameworks.</li><li>
Experience integrating front-end applications with REST APIs, serverless endpoints, or cloud-hosted microservices.</li><li>
Experience with Databricks capabilities such as Unity Catalog, Delta Live Tables, Model Serving endpoints, AI/BI dashboards, and Genie</li><li>
Proficiency with Git-based version control and modern development workflows.</li><li>
Ability to design intuitive user experiences and translate abstract concepts into polished UI workflows.</li><li>
Excellent communication, facilitation, and stakeholder engagement skills, including the ability to explain technical application configurations to non-technical audiences.</li></ul><p><br>
What Would Be Nice To Have:</p><ul><li>
Master&rsquo;s degree in computer science, engineering, mathematics, statistics, or a related technical field.</li><li>
FIVE (5) years of experience in application development.</li><li>
Demonstrated success developing and deploying React-based Databricks Apps.</li><li>
Experience building data- or AI-driven applications.</li><li>
Experience supporting product lifecycle activities, market analysis, or roadmap planning for AI and data products.</li><li>
Familiarity with Python, SQL, and cloud functions to support lightweight back-end/API development.</li><li>
Understanding of UX design concepts, wireframing, or rapid prototyping tools (Figma, Miro, etc.).</li><li>
Familiarity with Agile practices and Atlassian tools (Jira, Confluence).</li><li>
Familiarity with Databricks workspace configuration and administration.</li><li>
Active Databricks certifications strongly preferred.</li><li>
Prior experience in consulting or a client-facing role preferred.</li><li>
Familiarity with federal contracting and procurement processes.</li></ul><p><br>
What We Offer:</p><p>
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.</p><p>
Benefits include:</p><ul><li><p>
Medical, Rx, Dental &amp; Vision Insurance</p></li><li><p>
Personal and Family Sick Time &amp; Company Paid Holidays</p></li><li><p>
Position may be eligible for a discretionary variable incentive bonus</p></li><li><p>
Parental Leave and Adoption Assistance</p></li><li><p>
401(k) Retirement Plan</p></li><li><p>
Basic Life &amp; Supplemental Life</p></li><li><p>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</p></li><li><p>
Short-Term &amp; Long-Term Disability</p></li><li><p>
Student Loan PayDown</p></li><li><p>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</p></li><li><p>
Skills Development &amp; Certifications</p></li><li><p>
Employee Referral Program</p></li><li><p>
Corporate Sponsored Events &amp; Community Outreach</p></li><li><p>
Emergency Back-Up Childcare Program</p></li><li><p>
Mobility Stipend</p></li></ul><p>
About Guidehouse</p><p>
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.</p><p>
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.</p><p>
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.</p><p>
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.</p><p>
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.</p><p>
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</p></div>

Databricks Apps Developer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Want to change the world with Big Data and Analytics? Come join us on the Amazon EMR team in Amazon Web Services!<br>
<br>
Amazon EMR is a web service which enables customers to run massive clusters with open-source data processing frameworks like Apache Hadoop, Spark, Hive, Presto, HBase and more, with the ability to effortlessly scale up and down as needed. We run large number of customer clusters, enabling a variety of customer use cases including analytics and web-scale machine learning.<br>
<br>
We are developing innovative new features including our next-generation cluster management system, improvements for real-time processing of big data, and ways to enable customers to more easily interact with their data. We&rsquo;re looking for top engineers to build them from the ground up.<br>
<br>
Key job responsibilities<br>
You will work backwards from the customer needs and you will get to do everything from designing and building large scale systems and features for the savviest customers in the business. You will have a chance to work with the open source community and contribute significant portions its software to open source projects including Hadoop, Spark, Hive, Presto and HBase. You need to not only be a top software developer with excellent programming skills, an understanding of distributed systems and parallel data processing, and a stellar record of delivery but also excel at leadership and customer obsession and have a real passion for massive-scale computing. If you want to truly test your mettle against the hardest challenges in distributed systems to build solutions for large scale problems in a wide variety of domains, come join our group. Your responsibilities will include:<br>
<br>
<ul><li>Designing and building the next-generation technologies that will make EMR the best environment to run large-scale data processing workloads.</li><li>Working on complex problems in distributed systems and query engines.</li><li>Translation of complex functional and technical requirements into detailed architecture and design.</li><li>Deliver systems and features with top-notch quality, on time.</li><li>Own the software development process end-to-end, including: working with engineers and product managers to develop requirements; designing, architecting, planning, implementing, and testing new systems and features; deploying, and operating the production EMR systems.</li></ul><br>
About the team<br>
By joining our team, you will get to work with a minimum of technical supervision, while playing a variety of roles as needed to respond efficiently to multiple program priorities. You will get to collaborate with some of the best and brightest minds in the industry. You'll enjoy a competitive salary, great benefits, a creative and agile work environment, and the exciting opportunity to be part of a fast-paced and growing team and one of the most innovative technology companies - but most of all, you will get the satisfaction of making products that millions use everyday to great effect!<br>
For more information:<br>
<br>
AWS Big Data Blog: https://aws.amazon.com/blogs/big-data/<br>
AWS EMR: https://aws.amazon.com/emr/<br>
<br>
About AWS
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
<br>
<br>
Inclusive Team Culture Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
<br>
<br>
Mentorship &amp; Career Growth We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of non-internship professional software development experience</li><li>Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design</li><li>1+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in Computer Science, Engineering, Mathematics, or a related field, or 5+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Knowledge of Big Data application such as Spark and Presto</li><li>Knowledge of Container Platforms such as Docker and related technologies</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Redmond - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR)

Search 10000+ Big data hadoop developer jobs near you this March. New roles added regularly across leading industries. Apply today.

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Big Data Engineer

Big Data Engineer

Big Data Engineer

Big Data Engineer

Big Data Engineer

Databricks Apps Developer

Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR)