big data developer

Tech Interacts Inc

<p><b>Big Data Engineer</b></p><p><b>Charlotte, NC(Hybrid) </b></p><p><b>W2 | Local only </b></p><p><b>NO OPT/CPT/H1</b></p><p><b>Job Description:</b></p><ul><li>Experience with Big Data platforms/tools (Linux, HDFS, Hive, Hortonworks, Spark, Scala, Python, Java, Kafka, etc.)</li><li>Experience with API&rsquo;s, reading from and/or designing new</li><li>Ability to write SQL and interact with data</li><li>Data processing experience (Join, Merge, Transform, Summarize, etc.)</li><li>Ability to design and create data control checks and</li><li>Experience with scheduler tools like Autosys</li><li>Familiar with the Banking Financial Crimes domain</li></ul><p><b>Required Skills:</b></p><p><b>Over 10+ years </b></p><p>Top Skills: Big Data Developer (Spark, Scala, Python, AutoSys, Git, etc.)</p><ul><li>Years of Experience: 5 years of Big Data process development and job scheduling</li><li>Education: Bachelor&rsquo;s degree in Science or higher</li><li>Work Environment: Daily Agile Scrum team stand-ups</li><li>Communication: Strong verbal and written communication skills</li><li>Accountability: Ability to lead initiatives end to end, including solution design, development, testing, and deployment</li></ul><p><b>Desired Skills:</b></p><ul><li>Good‑to‑Have Skills: General Data Development experience (SQL, ETL, Linux scripting, etc.)</li><li>Domain Expertise: Experience with Financial Crime Compliance and related data processing.</li></ul><p>Pay: From $60.00 per hour</p><p>Work Location: Hybrid remote in Charlotte, NC 28202</p>

Big Data Engineer

Hexaware Technologies

Role Big Data Engineer Responsibilities Implement Data integration and Data Warehouse based solutions using Big Data Technologies. Should be highly proficient in the use of Big Data / Open Source Technologies and standard techniques of Data Integration; Data Manipulation with hands-on contribution. Should be able to develop cost efficient and performant data pipelines in the cloud platform In-depth understanding of modern big data technology; including Data modeling and machine learning skills Knowledge of real time data streaming and aggregation architectural patterns and practice Essential Skills: 3+ Years hands on knowledge on SQL as well as SQL/NoSQL databases Proficient in programming languages such as Python and PySpark/Scala/Java Experience with Apache Spark in On-prem / Cloud (Databricks / EMR / DataProc HDInsight) Working knowledge of API development Experience in building data pipelines in ETL/ELT methods Experience with integration of data from multiple data sources Experience in one of the NoSQL databases; such as HBase; Cassandra; MongoDB

Talan

<div>
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 <strong>
  Talan &ndash; Positive Innovation
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  <br/>
 </strong>
 Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of &euro;850M, we are committed to delivering impactful, future-ready solutions.
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  Talan at a Glance
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 Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we&rsquo;ve built a strong presence in the IT and consulting landscape, and we&rsquo;re on track to reach &euro;1 billion in revenue this year.
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  Our Core Areas of Expertise
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    Data &amp; Technologies:
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   We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
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  </li>
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    Cloud &amp; Application Services:
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   We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
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  </li>
  <li>
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    Management &amp; Innovation Consulting:
   </strong>
   We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.
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  We work with major global clients across diverse sectors, including Transport &amp; Logistics, Financial Services, Energy &amp; Utilities, Retail, and Media &amp; Telecommunications.
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 <strong>
  Job Description
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 As a
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  Backend Spark developer
 </strong>
 , your mission will be to develop, test and deploy the technical and functional specifications from the Solution Designers / Business Architects / Business Analysts, guaranteeing the correct operability and the compliance with the internal quality levels.
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 We need somebody like you to help us in different fronts:
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   You will develop end-to-end ETL processes with Spark/Scala. This includes transferring data from/to the data lake, technical validations, business logic, etc.
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   You will use Scrum methodology, and be part of a high performance team
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   You will document your solutions in the tools: JIRA, Confluence, ALM
  </li>
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   You will certify your delivery and its integration with other components, designing and performing the relevant test to ensure the quality of your team delivery
  </li>
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   You will work side by side with a technical specialist who will help you to improve the architecture and technical implementation of the solution in place
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   You will collaborate with cross-functional and cross-country teams to integrate data from various sources
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   You will  develop and maintain data hub and data pipelines in microservices architecture
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   You will collaborate with other developers to maintain and improve CI/CD pipelines
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  WHAT WE ARE LOOKING FOR
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 <ul>
  <li>
   Bachelor's degree in Computer Science or a related field.
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   1+ years of experience in data/software engineering (preferable in banking)
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   Experience with Integration Solutions (using API and Microservices)
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   Programming backend applications with BigData technologies(
   <strong>
    Apache Spark
   </strong>
   )
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  <li>
   Agile approach for software development
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   Continuous Integration (Git, GitHub)
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   Knowledge of SQL databases
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   English (at least B2+)
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  </li>
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  Qualifications
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  Preferred qualifications
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   Git hub actions
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   Scala or Python
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   Bash scripting
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   ControlM, AirFlow
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   Software development life cycle (HP ALM,..)
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   Basics of cybersecurity &amp; Quality (sonar&hellip;)
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   Basics of Cloud computing (Docker, Kubernetes, S3, Azure, AWS, EMR, DataBricks)
  </li>
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   SOA Architecture
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  Additional Information
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  What do we offer you?
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   Full-time contract.
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   Smart Office Pack so that you can work comfortably from home.
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   Training and career development.
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   Benefits and perks such as
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    private medical insurance
   </strong>
   , life insurance.
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   Possibility to be part of a multicultural team and work on international projects.
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    This is a hybrid position based in Warsaw, Poland.  Relocation is mandatory.
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   Possibility to manage work-permits.
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  </li>
 </ul>
 <strong>
  If you are passionate about development &amp; tech, we want to meet you!
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 <br/>
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 Talan Spain&rsquo;s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company&rsquo;s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).
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</div>


Copy of Junior Back-End Developer - Big Data  (Relocation to Poland)

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><p><b>Key Responsibilities:</b></p>
<ul><li>Design, develop, and maintain <b>end-to-end data pipelines</b> using <b>Azure Databricks</b></li>
<li>Implement scalable ETL/ELT solutions using <b>PySpark</b></li>
<li>Optimize Spark jobs for performance and reliability</li>
<li>Work with large-scale structured and semi-structured datasets</li>
<li>Develop and maintain <b>SQL-based data models</b> for analytics and reporting</li>
<li>Collaborate with data scientists, analysts, and business stakeholders</li>
<li>Ensure data quality, governance, and security best practices</li>
<li>Participate in code reviews, troubleshooting, and performance tuning</li>
<li>Support deployment and orchestration using Azure-native services</li>
</ul></div></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>409850</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | Spark | SQL | Cloud Azure</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Azure with Data Bricks, SQL, PySpark, Python

BCforward

<div>
 <p>
  We are seeking a
  <strong>
   Big Data Engineer
  </strong>
  to join our team. The ideal candidate will have strong experience in
  <strong>
   Java/J2EE development, Agile delivery, and CI/CD practices
  </strong>
  and a proven ability to
  <strong>
   design, build, test, deploy, and maintain secure, resilient applications
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  - Design, develop and maintain scalable and large-scale data processing pipelines and infrastructure on the cloud following engineering standards, governance standards and technology best practices
 </p>
 <p>
  - Develop and optimize data models for large-scale datasets, ensuring efficient storage, retrieval, and analytics while maintaining data integrity and quality.
 </p>
 <p>
  - Collaborate with cross-functional teams to translate business requirements into scalable and effective data engineering solutions.
 </p>
 <p>
  - Demonstrate a passion for innovation and continuous improvement in data engineering, proactively identifying opportunities to enhance data infrastructure, data processing and analytics capabilities.
 </p>
</div>


Data Engineer

<div><p><b>Title:</b></p>
Big Data Systems Engineer<p></p><p><b>
Belong, Connect, Grow, with KBR!</b></p><p>
KBR&rsquo;s National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country&rsquo;s most critical role &ndash; protecting our national security.</p><p></p><p>
KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center&rsquo;s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.</p><p></p><p><b>
Responsibilities:
</b></p><ul><li>The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs.</li><li>
As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.</li><li>
This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.</li><li>
You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.</li><li>
Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs</li><li>
Deploy CHEETAS within customer environments</li><li>
Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise</li><li>
Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity</li></ul><p></p><p><b>
Work Environment:
</b></p><ul><li><b>Location:</b> Remote - The candidate can either work in one of KBR&rsquo;s facilities or work from home, with a stable internet connection.</li><li><b>
Travel Requirements:</b> This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).</li><li><b>
Working Hours:</b> Standard</li></ul><p></p><p><b>
Basic Qualifications/Knowledge:</b></p><ul><li>
Must have an active TS/SCI Security Clearance to be considered for this position.</li><li>
This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. <b>Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.</b></li><li>
Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)</li><li>
Previous experience must include five (5) years of hands-on experience in big data environments.</li><li>
Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.</li><li>
Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.</li><li>
Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.</li><li>
Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.</li><li>
Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.</li><li>
Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.</li><li>
Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).</li><li>
Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.</li><li>
Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.</li><li>
Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.</li><li>
Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.</li><li>
Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.</li><li>
Excellent testing, debugging and problem-solving skills are required to be successful in this position.</li><li>
Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.</li><li>
Ability to speak and present findings in front of large groups.</li><li>
Ability to document and repeat procedures.</li><li>
This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.</li></ul><p></p><p><b>
Preferred Qualifications:
</b></p><ul><li>Experience working in government/defense labs and their computing restrictions.</li><li>
Experience working with major DoD acquisition programs.</li><li>
Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.</li><li>
Experience with working in distributed team environment.</li><li>
Ability to teach and mentor engineers with a variety of skill levels and backgrounds.</li><li>
Knowledge of DoD cybersecurity policies.</li></ul><p></p><p><b>
Basic Compensation:
</b></p><p><b>$142,400 - $180,000 (For the Denver, CO Area only)</b></p><p><b>
$148,900 - $200,000 (For the Los Angeles, CA Area Only)</b></p><p><b>
$148,900 - $200,00 (For the Washington, DC Area Only)</b></p><p></p><p>
The offered rate will be based on the selected candidate&rsquo;s working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.</p><p></p><p><b>
Additional Compensation:</b></p><p>
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.</p><p></p><p>
Belong, Connect and Grow at KBR<br>
<br>
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team&rsquo;s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver &ndash; Together.</p><p></p><p>
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.</p></div><p></p>

Big Data Systems Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale.<br>
<br>
We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale.<br>
As part of our diverse team&mdash;including data scientists, engineers, language engineers, linguists, and program managers&mdash;you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence.
<br>
<br>
Key job responsibilities<br>
In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions.<br>
Specific responsibilities include:<br>
<ul><li>Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features</li><li>Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings</li><li>Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases</li><li>Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance</li><li>Develop and refine annotation guidelines and quality frameworks for evaluation tasks</li><li>Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies</li><li>Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements</li><li>Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts</li><li>Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets</li></ul><br>
About the team<br>
<br>
Why AWS?<br>
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<br>
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<br>
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<br>
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.<br>
<br>
Hybrid Work<br>
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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, CA, Santa Clara - 157,300.00 - 212,800.00 USD annually<br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, AWS Quick Data

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

10000 big data developer jobs Near Me

Big Data Engineer

Big Data Engineer

Copy of Junior Back-End Developer - Big Data (Relocation to Poland)

Azure with Data Bricks, SQL, PySpark, Python

Data Engineer

Big Data Systems Engineer

Data Scientist, AWS Quick Data