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Company Overview:
IntelliTask LLC is a Texas-based IT consulting and technology solutions company specializing in Data Engineering, Cloud Solutions, Big Data Platforms, Business Intelligence, DevOps, and Enterprise Digital Transformation. We partner with Fortune 500 clients across healthcare, finance, retail, technology, and enterprise sectors to deliver scalable and innovative data-driven solutions.



#1 - Java Full Stack Developer (7821873)





2300 Valley View Ln., Suite 1010, Irving, TX 75062
[and various unanticipated locations throughout the U.S. may work from home]



DUTIES:
Utilize expertise in project process flow management and knowledge of the software development life cycle (SDLC) in Agile and SCRUM environments. Work on an Agile development team and hold daily SCRUM meetings to distribute tasks. Perform object-oriented analysis and REST API development and test using Rest-Assured and POSTMAN. Implement Spring MVC controllers, configure controllers with Spring MVC annotations and configuration files, and use Spring-Hibernate ORM for DAO. Utilize Core J2EE design patterns including Business Delegate, Singleton, Factory, and DAO and Apache Camel for database change capture and messaging systems integration. Implement RESTful web services using Spring Boot. Write CRUD SQL queries to extract data from databases. Transfer data upstream and downstream in systems using Apache Kafka. Use Azure Event Hub, Azure Blob Storage, and Azure Stream Analytics. Utilize Java Netty and Socket programming. Configure, troubleshoot, and optimize using Kafka. Use SQL queries in Java 8 code to select, update, and delete. Develop unit tests using Spring Mock MVC and Cucumber. Deploy Microservices as Docker images to AWS with Jenkins and Ansible. Utilize version control tools and project management tools including GIT, SVN, ClearCase, and JIRA. Develop automation scripts for managing and scaling Kubernetes environments. Utilize document storage solutions including Dynamo DB, Mongo DB, NoSQL, and Elastic Search. Apply advanced knowledge of Linux including Red hat. Travel required.

​ MINIMUM REQUIREMENTS:
Requires a Bachelor’s degree, or foreign equivalent degree, in Information Technology or Computer Science, and two (2) years of experience in the job offered, or two (2) years of experience in a related occupation performing object-oriented analysis and REST API development and testing using Rest-Assured and POSTMAN implementing Spring MVC controllers, configuring controllers with Spring MVC annotations and configuration files, and using Spring-Hibernate ORM for DAO utilizing Core J2EE design patterns including Business Delegate, Singleton, Factory, and DAO and Apache Camel for database change capture and messaging systems integration implementing RESTful web services using Spring Boot writing CRUD SQL queries to extract data from databases transferring data upstream and downstream in systems using Apache Kafka using Azure Event Hub, Azure Blob Storage, and Azure Stream Analytics utilizing Java Netty and Socket programming configuring, troubleshooting, and optimizing using Kafka using SQL queries in Java 8 code to select, update, and delete to AWS with Jenkins and Ansible utilizing version control tools and project management tools including GIT, SVN, ClearCase, and JIRA developing automation scripts for managing and scaling Kubernetes environments utilizing document storage solutions including Dynamo DB, Mongo DB, NoSQL, and Elastic Search and applying advanced knowledge of Linux including Red-hat. Domestic travel required up to 25% of the time depending on project scope and the need to visit client sites. In lieu of a Bachelor’s degree, the employer will accept an additional two (2) years of experience in a related occupation performing object-oriented analysis and REST API development and testing using Rest Assured and POSTMAN implementing Spring MVC controllers, configuring controllers with Spring MVC annotations and configuration files, and using Spring- Hibernate ORM for DAO utilizing Core J2EE design patterns including Business Delegate, Singleton, Factory, and DAO and Apache Camel for database change capture and messaging systems integration implementing RESTful web services using Spring Boot writing CRUD SQL queries to extract data from databases transferring data upstream and downstream in systems using Apache Kafka using Azure Event Hub, Azure Blob Storage, and Azure Stream Analytics utilizing Java Netty and Socket programming configuring, troubleshooting, and optimizing using Kafka using SQL queries in Java 8 code to select, update, and delete developing unit tests using Spring Mock MVC and Cucumber deploying Microservices as Docker images to AWS with Jenkins and Ansible utilizing version control tools and project management tools including GIT, SVN, ClearCase, and JIRA developing automation scripts for managing and scaling Kubernetes environments utilizing document storage solutions including Dynamo DB, Mongo DB, NoSQL, and Elastic Search and applying advanced knowledge of Linux including Red-hat. Domestic travel required up to 25% of the time depending on project scope and the need to visit client sites.



#2 - Sr. Data Engineer - (70052025)





(Alteryx / Cloud / Big Data)
Location: Remote/Hybrid - United States
Job Type: Full Time

We are seeking a highly skilled Senior Data Engineer with strong expertise in Alteryx, Cloud Data Engineering, Big Data Technologies, and Enterprise ETL/ELT solutions to join our growing engineering team


Job Summary:

The Senior Data Engineer will be responsible for designing, developing, optimizing, and supporting enterprise-scale data pipelines, cloud-native data platforms, and complex data migration solutions. The ideal candidate will have hands-on experience with Alteryx workflows, Spark-based big data processing, cloud platforms (AWS/Azure/GCP), ETL/ELT frameworks, and enterprise data integration architectures.


This role requires strong experience in building scalable and secure data engineering solutions supporting analytics, reporting, operational systems, and cloud modernization initiatives.


Key Responsibilities:

  • Design, architect, and implement scalable enterprise data pipelines and ETL/ELT solutions using Alteryx, Apache Spark, Python, Scala, and cloud-native technologies.
  • Develop complex Alteryx workflows, analytical applications, iterative macros, and batch macros to automate enterprise data transformation and migration processes.
  • Build and optimize high-volume batch and real-time data processing frameworks using Spark Streaming, Kafka, AWS Kinesis, and Azure Stream Analytics.
  • Architect and support large-scale data migration initiatives including Legacy CRM to Salesforce migrations and cloud modernization programs.
  • Develop reusable and parameterized ETL frameworks for processing structured, semi-structured, and unstructured data.
  • Design and optimize SQL, T-SQL, Spark SQL, Hive, and Snowflake SQL queries, stored procedures, and transformation logic.
  • Implement enterprise data quality, governance, reconciliation, validation, and audit frameworks ensuring high data accuracy and compliance standards.
  • Build scalable cloud data architectures utilizing AWS, Azure, Databricks, Snowflake, Synapse, Redshift, and BigQuery.
  • Automate workflow scheduling, orchestration, CI/CD deployments, and infrastructure provisioning using Alteryx Server, Airflow, Jenkins, Terraform, and Git.
  • Monitor and optimize performance of data pipelines, Spark jobs, cloud infrastructure, and ETL workloads.
  • Collaborate with business stakeholders, architects, analysts, and engineering teams to define technical solutions and enterprise data strategies.
  • Mentor junior engineers and contribute to engineering best practices, technical documentation, and governance standards.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.
  • 2+ years of experience in Data Engineering, ETL Development, or Big Data Engineering. • Strong hands-on expertise with Alteryx Designer and Alteryx Server.
  • Experience building complex Alteryx workflows, macros, analytical apps, and automated ETL frameworks.
  • Strong experience with Apache Spark, PySpark, Spark SQL, and Scala/Python programming.
  • Expertise in SQL development, query optimization, and data modeling.
  • Experience with cloud platforms including AWS, Microsoft Azure, and/or Google Cloud Platform.
  • Hands-on experience with Databricks, Snowflake, Redshift, Azure Synapse, or BigQuery.
  • Strong understanding of enterprise data warehousing concepts including Star Schema and Snowflake Schema.
  • Experience with CI/CD, Git, Jenkins, Terraform, and workflow orchestration tools.
  • Knowledge of data governance, security, compliance, and enterprise data quality frameworks.
  • Strong communication, analytical, and problem-solving skills.



Technologies & Tools:

Data Engineering: Alteryx Designer, Alteryx Server, Apache Spark, PySpark, Spark SQL, Spark Streaming, Hadoop, Hive, Kafka, Airflow, Databricks, DBT, SnapLogic, Informatica, IBM DataStage, ODI, SSIS

Cloud Platforms: AWS (S3, Redshift, Glue, Athena, Lambda, EMR, Kinesis, DynamoDB, CloudWatch) Microsoft Azure (ADF, Azure Databricks, ADLS, Azure Synapse, Azure SQL, Stream Analytics) Google Cloud Platform (BigQuery, DataProc, Pub/Sub, Cloud Storage)

Programming & Databases: AWS (S3, Redshift, Glue, Athena, Lambda, EMR, Kinesis, DynamoDB, CloudWatch) Microsoft Azure (ADF, Azure Databricks, ADLS, Azure Synapse, Azure SQL, Stream Analytics) Google Cloud Platform (BigQuery, DataProc, Pub/Sub, Cloud Storage)

DevOps & Automation: Git, GitHub, GitLab, Jenkins, Terraform, CloudFormation, CI/CD Pipelines

Reporting & Analytics: Power BI, Tableau, AWS QuickSight, Alteryx, Databricks, Alteryx workflows etc.





#3 - Build Engineer (7506271)





2300 Valley View Ln., Suite 1010, Irving, TX 75062



DUTIES:
Use Infrastructure as Code (IaC) tools including Terraform, Azure Resource Manager (ARM) templates, and Azure CLI to define and provision virtual machines (VMs), virtual machine scale sets, Azure Kubernetes Service (AKS) clusters, and Azure Functions. Use Azure CLI commands to interact with Azure Monitor to retrieve metrics, logs, and diagnostic information to monitoring the health and performance of Azure resources. Use Azure CLI commands on repositories, pipelines, and releases for continuous integration and continuous delivery. Use Azure CLI to monitor VM performance metrics including CPU utilization, memory usage, disk I/O, and network traffic. Create and maintain Jenkins pipeline scripts using declarative or scripted syntax. Define stages, steps, and integrations that orchestrate the complete software delivery process. Integrate with Git repositories to pull source code branches and initiate CI pipelines upon new commits or pull requests. Define build configurations in Jenkins to compile source code, package artifacts, and generate build artifacts including JAR files and Docker images. Integrate Ansible with tools in the DevOps tool chain including version control systems, Continuous Integration/Continuous Deployment (CI/CD) pipelines, monitoring systems, and configuration repositories. Test and validate the effectiveness of Ansible playbooks and define Azure resource configurations using Ansible playbooks to provision virtual machines, virtual networks, and storage accounts. Leverage Ansible modules for Azure to interact with Azure APIs and manage resource lifecycles. Use Ansible to configure virtual machine instances, install software packages, and manage system configurations on Azure VMs. Design modular and reusable Terraform modules to abstract and standardize infrastructure components. Use Terraform providers and modules to interact with cloud providers and other APIs for seamless automation. Apply advanced knowledge of Puppet, Maven, ServiceNow, Jira, Confluence, and Linux operating systems. Utilize Python, Ruby, and Shell scripting.

MINIMUM REQUIREMENTS:
​Requires a Master’s degree, or foreign equivalent degree, in Computer Science, Information Technology, or Information Quality and two (2) years of experience in the job offered, or two (2) years of experience in a related occupation using Azure CLI commands to interact with Azure Monitor to retrieve metrics, logs, and diagnostic information to monitoring the health and performance of Azure resources using Azure CLI to monitor VM performance metrics including CPU utilization, memory usage, disk I/O, and network traffic creating and maintaining Jenkins pipeline scripts using declarative or scripted syntax defining build configurations in Jenkins to compile source code, package artifacts, and generate build artifacts including JAR files and Docker images testing and validating the effectiveness of Ansible playbooks and defining Azure resource configurations using Ansible playbooks to provision virtual machines, virtual networks, and storage accounts using Ansible to configure virtual machine instances, install software packages, and manage system configurations on Azure VMs designing modular and reusable Terraform modules to abstract and standardize infrastructure components using Terraform providers and modules to interact with cloud providers and other APIs for seamless automation applying advanced knowledge of Puppet, Maven, ServiceNow, Jira, Confluence, and Linux operating systems and utilize Python, Ruby, and Shell scripting.


#4 - Cloud Engineer (8500412)





100 N Central Expressway, Suite 160, Richardson, TX 75081
[and various unanticipated locations throughout the U.S. may work from home]



DUTIES:
Deploy and support scalable, secure, highly available, and reliable workloads across a multicloud presence using Azure, GCP, and AWS. Analyze, develop, and maintain procedures for related technology requirements. Support the migration of Onpremises workloads into the cloud by leveraging a cloud migration factory model approach. Execute operations through the utilization of GitOps and IaC concepts: version control systems, Continuous Integration/Continuous Deployment (CI/CD), and selfservice automation platforms. Conduct futurestate planning of tools and processes. Participate in cloud governance decisionmaking and processes. Employ cloud-based services. Perform programming and scripting using Python, Go, and Ruby. Manage software configurations using Ansible. Utilize Linux and Windows environments. Create container orchestration solutions. Use firewalls, load balancers, and IPAM solutions. Monitoring and log using Azure Monitor and Splunk. Cloud Certification in AWS is required.
MINIMUM REQUIREMENTS:
Requires a Master’s degree, or foreign equivalent degree, in Computer Science, Computer Engineering, or Electrical Engineering and three (3) years of experience in the job offered, or three (3) years of experience in a related occupation deploying and supporting scalable, secure, highly available, and reliable workloads across a multi‐cloud presence using Azure, GCP, and AWS executing operations through the utilization of GitOps and IaC concepts including version control systems, Continuous Integration/Continuous Deployment (CI/CD), and selfservice automation platforms employing cloud-based services performing programming and scripting using Python, Go, and Ruby managing software configurations using Ansible utilizing Linux and Windows environments creating container orchestration solutions using firewalls, load balancers, and IPAM solutions and monitoring and logging using Azure Monitor and Splunk. Cloud Certification in AWS is required.


#5 - DevOps Engineer (8421934)





2300 Valley View Ln., Suite 1010, Irving, TX 75062



DUTIES:
Deploy custom and Commercial-Off-the-Shelf (COTS) code and software through codification and automation. Create custom modules in Puppet for individual components of WebSphere through middleware-tier application servers and webservers to automate the infrastructure of environments. Perform RSpec testing of custom-build modules in Puppet Enterprise. Utilize Puppet Development Kit (PDK) to perform unit testing of individual components and modules. Validate metadata, syntax, and style for applications for modules. Work with TCP, IP, HTTP, SSL, DNS, J2EE, LDAP, Active Directory, XML, IIS, Web Services, Authentication protocols, SSH, SFTP, Unix, Linux, and Shell Scripting technologies. Work within a DevOps-structured Agile organization. Utilize and document CI/CD pipeline techniques and technologies: Atlassian tools, Jira, Confluence, and ServiceNow. Use code repositories: GitHub, Artifactory, Nexus, and Bitbucket. Participate in the architecture design of DevOps platforms for future cloud solutions. Maintain detailed documentation of complex system specifications: system-installation procedures, system backup, recovery techniques, and system test methods.

MINIMUM REQUIREMENTS:
Requires a Master’s degree, or foreign equivalent degree, in Computer Science or Electrical Engineering and two (2) years of experience in the job offered, or two (2) years of experience in a related occupation deploying custom and Commercial-Off-the-Shelf (COTS) code and software through codification and automation utilizing Puppet Development Kit (PDK) to perform unit testing of individual components and modules working with TCP, IP, HTTP, SSL, DNS, J2EE, LDAP, Active Directory, XML, IIS, Web Services, Authentication protocols, SSH, SFTP, Unix, Linux, and Shell Scripting technologies utilizing and documenting CI/CD pipeline techniques and technologies: Atlassian tools, Jira, Confluence, and ServiceNow participating in the architecture design of DevOps platforms for future cloud solutions and maintaining detailed documentation of complex system specifications: system installation procedures, system backup, recovery techniques, and system test methods.


Why Join IntelliTask LLC?



Interested candidates may send their updated resume
to: admin@intellitaskllc.com / HR@Intellitaskllc.com
OR
Apply Directly through our company website.



• Opportunity to work on enterprise-scale cloud and data engineering projects • Exposure to Fortune 500 clients and modern cloud technologies • Collaborative engineering-driven environment • Career growth and leadership opportunities • Flexible work environment