data integration engineer

Parker Management

<div><p>The Data and Integration Engineer is responsible for designing, developing, and maintaining data and integration solutions that enable seamless data flow across enterprise systems. This role requires expertise in ETL/ELT processes, API integrations, data warehousing, and cloud-based data platforms. The ideal candidate will work closely with business stakeholders, developers, and data teams to ensure efficient data management, high-quality data pipelines, and scalable integration solutions.</p>
<p><b>
ESSENTIAL DUTIES AND RESPONSIBILITIES</b></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Design, develop, and maintain ETL/ELT pipelines to extract, transform, and load data from multiple sources into data lakes and data warehouses.</li>
<li>Implement data transformation logic to ensure data quality, consistency, and performance.</li>
<li>Automate data ingestion and transformation processes using tools like Azure Data Factory (ADF), SSIS, or AWS Glue.</li>
<li>Work with RESTful and SOAP APIs, JSON, XML, and other data formats.</li>
<li>Develop and manage API-based integrations between enterprise applications, cloud platforms, and third-party services.</li>
<li>Implement authentication and security protocols (OAuth, JWT, API keys).</li>
<li>Design and optimize database structures for data warehousing and reporting solutions.</li>
<li>Write complex SQL queries, stored procedures, and views to support data extraction and analytics.</li>
<li>Work with relational databases (SQL Server, PostgreSQL, Snowflake) and NoSQL solutions.</li>
<li>Develop and deploy data solutions in cloud environments like Azure, AWS, or Google Cloud.</li>
<li>Utilize cloud storage, compute services, and serverless technologies for scalable data processing.</li>
<li>Work with modern data lake and Lakehouse architectures.</li>
<li>Implement data governance best practices, including metadata management, data lineage tracking, and access controls.</li>
<li>Ensure compliance with data privacy regulations (GDPR, HIPAA, CCPA) and security best practices.</li>
<li>Monitor data integration jobs and troubleshoot failures or performance issues.</li>
<li>Create technical documentation, process workflows, and integration diagrams.</li>
<li>Support cross-functional teams in identifying and resolving data-related issues.</li></ul><br>
<p></p><p><b>Knowledge, Skills, and Abilities:</b></p>
<ul>
<li>Experience in ETL/ELT tools (Azure Data Factory, SSIS, Informatica, Talend, etc.).</li>
<li>Experience with SQL and database technologies (SQL Server, Snowflake, PostgreSQL, MySQL).</li>
<li>Hands-on experience with APIs, web services, and integration tools.</li>
<li>Familiarity with cloud data platforms (Azure Synapse, AWS Redshift, Google BigQuery).</li>
<li>Experience with scripting languages (Python, PowerShell, or Bash) for automation.</li>
<li>Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM templates).</li>
<li>Strong problem-solving and analytical skills.</li>
<li>Excellent communication and collaboration abilities.</li>
<li>Ability to work in a fast-paced environment and manage multiple priorities.</li>
<li>Strong attention to detail and data accuracy.</li></ul><br>
<p></p>
<p><b>
Requirements:</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field</li>
<li>3+ years of experience in data engineering, data integration, or related roles</li></ul><br>
<p></p>
<p><b>
PHYSICAL REQUIREMENTS:</b></p>
<ul>
<li>Office environment with occasional requirements to work outside of normal business hours.</li>
<li>On-call rotation for network emergencies.</li>
<li>Ability to lift and carry up to 50 pounds.</li>
<li>Ability to work in confined spaces and to climb ladders and stairs.</li></ul></div>

Data & Integration Engineer

Parker's Kitchen

<div><p>The Data and Integration Engineer is responsible for designing, developing, and maintaining data and integration solutions that enable seamless data flow across enterprise systems. This role requires expertise in ETL/ELT processes, API integrations, data warehousing, and cloud-based data platforms. The ideal candidate will work closely with business stakeholders, developers, and data teams to ensure efficient data management, high-quality data pipelines, and scalable integration solutions.</p>
<p><b>
ESSENTIAL DUTIES AND RESPONSIBILITIES</b></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Design, develop, and maintain ETL/ELT pipelines to extract, transform, and load data from multiple sources into data lakes and data warehouses.</li>
<li>Implement data transformation logic to ensure data quality, consistency, and performance.</li>
<li>Automate data ingestion and transformation processes using tools like Azure Data Factory (ADF), SSIS, or AWS Glue.</li>
<li>Work with RESTful and SOAP APIs, JSON, XML, and other data formats.</li>
<li>Develop and manage API-based integrations between enterprise applications, cloud platforms, and third-party services.</li>
<li>Implement authentication and security protocols (OAuth, JWT, API keys).</li>
<li>Design and optimize database structures for data warehousing and reporting solutions.</li>
<li>Write complex SQL queries, stored procedures, and views to support data extraction and analytics.</li>
<li>Work with relational databases (SQL Server, PostgreSQL, Snowflake) and NoSQL solutions.</li>
<li>Develop and deploy data solutions in cloud environments like Azure, AWS, or Google Cloud.</li>
<li>Utilize cloud storage, compute services, and serverless technologies for scalable data processing.</li>
<li>Work with modern data lake and Lakehouse architectures.</li>
<li>Implement data governance best practices, including metadata management, data lineage tracking, and access controls.</li>
<li>Ensure compliance with data privacy regulations (GDPR, HIPAA, CCPA) and security best practices.</li>
<li>Monitor data integration jobs and troubleshoot failures or performance issues.</li>
<li>Create technical documentation, process workflows, and integration diagrams.</li>
<li>Support cross-functional teams in identifying and resolving data-related issues.</li></ul><br>
<p></p><p><b>Knowledge, Skills, and Abilities:</b></p>
<ul>
<li>Experience in ETL/ELT tools (Azure Data Factory, SSIS, Informatica, Talend, etc.).</li>
<li>Experience with SQL and database technologies (SQL Server, Snowflake, PostgreSQL, MySQL).</li>
<li>Hands-on experience with APIs, web services, and integration tools.</li>
<li>Familiarity with cloud data platforms (Azure Synapse, AWS Redshift, Google BigQuery).</li>
<li>Experience with scripting languages (Python, PowerShell, or Bash) for automation.</li>
<li>Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM templates).</li>
<li>Strong problem-solving and analytical skills.</li>
<li>Excellent communication and collaboration abilities.</li>
<li>Ability to work in a fast-paced environment and manage multiple priorities.</li>
<li>Strong attention to detail and data accuracy.</li></ul><br>
<p></p>
<p><b>
Requirements:</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field</li>
<li>3+ years of experience in data engineering, data integration, or related roles</li></ul><br>
<p></p>
<p><b>
PHYSICAL REQUIREMENTS:</b></p>
<ul>
<li>Office environment with occasional requirements to work outside of normal business hours.</li>
<li>On-call rotation for network emergencies.</li>
<li>Ability to lift and carry up to 50 pounds.</li>
<li>Ability to work in confined spaces and to climb ladders and stairs.</li>
</ul>Equal Opportunity Employer<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.<p><b><i><br>
Parker&rsquo;s is an equal-opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Parker&rsquo;s does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state, or local laws.</i></b></p></div>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Hiring Azure Data Engineer at PAN India locations!!</p>
<p>
Experience Range- 5 to12 Years</p>
<p>
Key Technical Skillsets-</p>
<p>
</p><ul><li>Strong proficiency in Python, Pyspark.</li>
<li>Data Ingestion and Integration: Ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.
</li><li>Data Transformation and Processing: Perform data transformation and processing tasks to prepare the data for analysis and reporting. Azure Databricks or Azure Synapse Analytics can be used for large-scale data transformations using tools like Apache Spark.</li>
<li>Data Storage and Management: Select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.</li>
<li>Data Warehousing: Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.</li>
<li>Data Modeling and Analysis: Collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.</li></ul><p><br>
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404819</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | Big Data | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Azure Data Engineer

<div>Description:
<p>
Client Solution Architects (CSA) is currently seeking a Data Engineer to support a program in Norfolk, VA.</p><p>
For nearly 50 years, CSA has delivered integrated technology and operational support services to meet the defense and federal sector's most complex enterprise needs. Working from operations centers and shipyards to training sites and program offices, CSA deploys experienced teams, innovative tools and proven processes to advance federal missions.</p><p><br>
</p><p>CSA Global Inc. is seeking a Data Engineer to enable secure, reliable, and scalable data solutions that directly impact J35S Global Force Management (GFM) systems and technology. The selected candidate will design and maintain enterprise-grade extract, transfer, load (ETL) pipelines, performing advanced data integration, cleaning, and transformation to ensure accuracy and compliance across diverse systems. In addition, enable seamless data flows that power analytics, visualization, and decision-making, while ensuring strict adherence to DoD cybersecurity and governance standards to ensure operational integrity. The mission of DDJ35 is to source and deploy trained and ready joint capable forces, lead the improvement of the Global Force Management and Joint Deployment processes, monitor force readiness and deployment, and support the implementation of Resource-Informed Planning in support of the Joint Staff&rsquo;s mission.</p><p><b>
How Role will make an impact:</b></p><ul><li>
Operational analysis and management of Global Force Management related to Joint Technology Development efforts.</li><li>
Analyze government provided, authoritative and classified data to assist the J35 with gaining insight into Global Force Management GFM) and Planning and Execution (PLEX) process outcomes, as well as building statistical models to support process decision-making, and create machine learning models to support J35 efforts to automate and simplify key GFM and PLEX processes.</li><li>
Conduct high-level market and business operation research to identify trends and relations and, as part of this, use a variety of sophisticated machines and methods to interact with and act upon data contained within the inventory of the DoD's mission critical and mission essential IT systems.</li><li>
Analyze raw data provided by J35 government POCs, and turn it into actionable, understandable content with the help of the J35 GFM Operational managers using various mathematical models and algorithms. This information is used as an analysis source to tell the CJCS and Service/Combatant Commanders and J35 leadership of the &quot;bigger picture&quot; of the IT modernization efforts vital to decision makers.</li><li>
Analyze data warehousing solutions and maintain familiarity with ETL Tools with data storage and retrieval, as the amount of data being dealt with is simply complex due to its inherent legacy. Provide sustainment and improvement</li><li>
Design, build, and maintain data pipelines to support enterprise data flows.</li><li>
Perform data integration, cleaning, and transformation across structured and unstructured sources.</li><li>
Develop and implement data models to support analytics, visualization, and reporting.</li><li>
Collaborate with analysts, developers, and mission stakeholders to ensure data accuracy and accessibility.</li><li>
Deploy and manage solutions on cloud platforms (AWS, Azure, DoD Cloud) in compliance with federal security standards.</li><li>
Create and maintain APIs for secure data access and integration.</li><li>
Troubleshoot and optimize performance of large-scale data processing systems.</li><li>
Ensure compliance with government data governance and cybersecurity requirements.</li></ul>
Requirements:
<p><b>
What you&rsquo;ll need to have to join our award-winning team:</b></p><ul><li><b>
Clearance:</b> Must possess and maintain a Secret U.S. security clearance</li><li><b>
Education:</b> Must posess a Master's degree with a minimum of 8 years' experience: OR, Bachelor's degree with a minimum of 12 years' experience; OR, no degree and 14 years' experience of technical areas with the operation, design, development, documentation, and operation of distrubted computer M&amp;S</li><li>
Security+ or Network+</li><li>
ETL, data modeling, SQL, Python, Spark, cloud platforms (AWS, Azure, DoD Cloud)</li><li>
Demonstrated success in one (1) or more technical areas</li><li>
Experience with software development management and systems engineering training or education (certification desired).</li><li>
Knowledge, skills and experience in planning and defining operational requirements for local and wide area communications networks (voice, data, and video).</li><li>
Experience with testing and evaluations of modeling and simulation (M&amp;S) and Command and Control (C2) Systems.</li><li>
Experience in the ability to develop and maintain web-based joint training.</li><li>
Experience in developing and managing unique aspects of software intensive programs.</li><li>
Experience with managing and integrating web-based training products (including software, hardware, and network aspects).</li><li>
Familiarity and experience with Java 9 &ldquo;WildFly&rdquo;, Oracle 10i &ndash; moving to PostGres SQL, Tools supporting Java Enterprise Edition such as Hibernate Java Servlet Specification, Java Server Faces, and Java EE Context Dependency Injection.</li><li>
Shareable Content Object Reference Model support, Hypertext Markup Language 5 support, DoD Command Access Card Public Key Infrastructure, Schema Design, Production Language, Structured Query Language, and Database Optimization.</li><li>
Analyze code, identify area of improvement for cybersecurity, enhance performance of the mobile learning suite servers, as well as their methodology for analyzing, designing, developing, testing, and fielding enhancements.</li><li>
Understanding of the use of Jenkins, Eclipse, Subversion, and Bugzilla</li></ul><p><b>
What Sets you apart:</b></p><ul><li>
Microsoft Certified: Azure Data Engineer Associate</li><li>
AWS Certified Data Analytics</li><li>
Google Cloud Professional Data Engineer</li><li>
Databricks Certified Data Engineer</li><li>
Qlik data analytics certifications</li></ul></div>

Data Engineer

<div>
 <strong>
  Introduction
  <br/>
  <br/>
 </strong>
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 <br/>
 <br/>
 <strong>
  Your Role And Responsibilities
  <br/>
  <br/>
 </strong>
 As a Data Engineer - Data Integration Intern, you will support the design, development, and maintenance of data pipelines that integrate data from multiple sources into centralized data platforms. You will work closely with data engineers, analysts, and business teams to ensure data is reliable, accessible, and ready for analysis
 <br/>
 <br/>
 <strong>
  Preferred Education
  <br/>
  <br/>
 </strong>
 Bachelor's Degree
 <br/>
 <br/>
 <strong>
  Required Technical And Professional Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Basic understanding of data engineering concepts (ETL/ELT, data pipelines, data integration).
  </li>
  <li>
   Knowledge of SQL and relational databases.
  </li>
  <li>
   Familiarity with at least one programming language such as Python or Java.
  </li>
  <li>
   Understanding of data formats (CSV, JSON, Parquet is a plus).
  </li>
  <li>
   Basic knowledge of version control systems (e.g., Git).
  </li>
  <li>
   Strong analytical and problem-solving skills.
  </li>
  <li>
   Willingness to learn and ability to work in a team environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Technical And Professional Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data Integration Tools Knowledge: Familiarity with additional data integration tools beyond Informatica, Ab Initio software, and DataStage is beneficial.
  </li>
  <li>
   Business Intelligence Solution Exposure: Exposure to various business intelligence solutions and their applications can be advantageous.
  </li>
 </ul>
</div>


Data Engineer - Data Integration Intern

West Virginia University

<div></div><div><div><p>The Department of Information Technology Services at West Virginia University is currently accepting applications for a Data Integration Engineer (Professional Technologist 3).</p><p><b>
About the Opportunity</b></p><p>
We are seeking a Data Integration Engineer with solid hands-on experience in Informatica Intelligent Data Management Cloud (IDMC), including Cloud Data Integration (CDI) and Mass Ingestion. This role will focus on administration, pipeline support, troubleshooting, and SQL-based data integration tasks within our enterprise environment.</p><p>
We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:</p><ul><li>
37.5-hour work week</li><li>
13 paid holidays (staff holiday calendar)</li><li>
24 annual leave (vacation) days per year or more based on years of service (employee leave)</li><li>
18 sick days per year (for when you&rsquo;re ill, for when you need time to care for sick family, for your own, or your family&rsquo;s, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)</li><li>
WVU offers a range of health insurance and other benefits</li><li>
401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ&rsquo;s.</li><li>
Wellness programs</li></ul><p><b>
What You'll Do</b></p><ul><li>
Administer and support Informatica Intelligent Data Management Cloud (IDMC) services, including Cloud Data Integration (CDI) and Mass Ingestion.</li><li>
Manage day-to-day operations of the Informatica platform, including user access, roles/permissions, environment configuration, and service monitoring.<br>
Monitor, troubleshoot, and resolve integration job failures, performance issues, and connectivity problems to ensure high availability and reliability of data pipelines.</li><li>
Configure and maintain Secure Agents, runtime environments, and connectivity to on-premises and cloud data sources.</li><li>
Develop, maintain, and optimize ETL/ELT pipelines using Informatica CDI, ensuring efficient data movement and transformation.</li><li>
Write and tune complex SQL queries to support data integration, validation, and performance optimization across relational databases.</li><li>
Support code migrations and deployments across development, test, and production environments, following established SDLC and change management processes.</li><li>
Configure and maintain connectors (databases, file systems, APIs, SaaS applications), including connection parameters and credentials.</li><li>
Implement and support authentication mechanisms (OAuth, tokens, service accounts, API keys) in alignment with enterprise security standards.</li><li>
Work closely with application teams, DBAs, and analysts to troubleshoot data issues and validate data flows.</li><li>
Maintain and enhance operational documentation, including runbooks, troubleshooting guides, and standard procedures.</li><li>
Assist with platform upgrades, patches, and new feature adoption in coordination with senior team members.</li><li>
Participate in on-call support rotation for critical incidents and production support.</li><li>
Continuously learn and apply new tools and features within the Informatica ecosystem and related technologies.</li><li>
Collaborate with DBAs and infrastructure teams on physical database design and storage optimization.</li><li>
Knowledge of cloud platforms (AWS/Azure) and connectivity to Snowflake and Informatica IDMC.</li><li>
Unix/Linux/Shell Scripting.</li><li>
Must have good Verbal and Written communication skills.</li><li>
Able to learn new technologies.</li><li>
Be available on an on-call basis for troubleshooting system and application problems as well as for critical deployments.</li><li>
Other duties as assigned by Management.</li></ul><div>
</div></div><div><b>
Qualifications</b><div>
</div><ul><li>
Bachelor&rsquo;s degree</li><li>
A minimum of four (4) years combined experience involving:<ul><li>
Information Technology Experience</li><li>
Experience working with relational databases (Oracle, SQL Server, Snowflake, PostgreSQL, etc.) using SQL for data querying, transformation, and analysis</li><li>
Hands-on experience supporting and developing data integration pipelines using Informatica IDMC, including Cloud Data Integration (CDI) and/or Mass Ingestion</li><li>
Experience administering or supporting data integration platforms in a production environment, including job monitoring, troubleshooting, and performance tuning</li></ul></li><li>
Any equivalent combination of related education and/or experience will be considered.</li><li>
All qualifications must be met by the time of employment.</li></ul><p><b>
Knowledge, Skills, &amp; Abilities</b></p><ul><li>
Solid understanding of Informatica IDMC administration, including Secure Agent setup, connection management, and job monitoring.</li><li>
Strong proficiency in SQL for data transformation, validation, and performance tuning.</li><li>
Good understanding of ETL/ELT concepts, data integration patterns, and data processing workflows.</li><li>
Experience troubleshooting data pipeline failures, connectivity issues, and performance bottlenecks.</li><li>
Familiarity with API integrations and working with REST/SOAP services.</li><li>
Ability to work with structured and semi-structured data (JSON, XML, flat files).</li><li>
Understanding of security best practices, including credential management and secure connectivity.</li><li>
Experience with job scheduling, logging, and monitoring tools within Informatica or similar platforms.</li><li>
Ability to create and maintain technical documentation (runbooks, SOPs, deployment steps).</li><li>
Strong analytical and problem-solving skills with attention to detail.</li><li>
Ability to work independently and manage multiple tasks in a fast-paced environment.</li><li>
Effective verbal and written communication skills for collaborating with technical and functional teams.</li><li>
Willingness and ability to learn new technologies and adapt to evolving data platforms.</li><li>
Ability to work under pressure and meet deadlines while maintaining accuracy and quality.</li></ul><div>
</div></div><div><b>
Requirements</b><div></div><p><b><br>
Licenses/Certifications</b></p><ul><li>
Familiarity with data integration concepts and willingness to pursue relevant certifications (e.g., Informatica IDMC, CDMP) within 12 months of employment.</li></ul><div>
</div></div><div><b>
About WVU</b><div></div><p><br>
West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.</p><p>
From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.</p><p>
At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values &mdash; service, curiosity, respect, accountability and appreciation &mdash; unite us as Mountaineers.</p><p>
Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.</p><p>
West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.</p><div><br>
</div></div><div><b>
Job Posting</b><b>:</b> Apr 13, 2026</div><div><b>
Posting Classification</b><b>:</b> Non-Classified</div><div><b>
Exemption Status</b><b>:</b> Exempt</div><div><b>
Benefits Eligible</b><b>:</b> Yes</div><div><b>
Schedule</b><b>:</b> Full-time</div></div>

(Remote) Integration Engineer - Information Technology Services

<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>

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