Macpower Digital Assets Edge Private Limited
Middle River, Maryland
Job Description Job Description Job Summary: Our client is seeking an experienced Data Warehouse ETL Developer to join their Data Analytics Team. The ideal candidate will have strong expertise in ETL methodologies, SSIS, and data warehousing, supporting efforts to deliver high-quality data extracts, reports, and dashboards. The role requires a Baltimore-area resident with excellent SQL skills and experience working within cross-functional teams. Location: Baltimore, Maryland (Hybrid part-time in office, part-time virtual; may transition to fully on-site) Experience Required: 5 years ETL development, 3 years SSIS experience. Education: Bachelor's degree in Computer Science, IT, MIS, Business Management, Engineering, Project Management, Communications, or a related field (or equivalent experience). Key Responsibilities: Develop, execute, and monitor ETL processes ensuring accurate and efficient data movement and transformation. Retrieve data from multiple systems for data extracts, reports, and dashboards, ensuring data quality before release. Write and maintain SQL test scripts to validate data against source transactional systems and the data warehouse. Document ETL processes, test cases, and results to support testing repeatability and knowledge sharing. Collaborate with SQL Server DBAs, system architects, and developers to design and optimize stable, reliable databases. Plan and coordinate data migration activities between systems in line with project goals. Assist in defining business and testing requirements in coordination with stakeholders. Conduct unit, system, and performance testing; support User Acceptance Testing and issue resolution. Adhere to software development standards, change control processes, and security protocols. Participate in continuous improvement initiatives to enhance process efficiency and effectiveness. Communicate project status and progress regularly to sponsors and stakeholders. Build strong relationships with project sponsors, technical staff, vendors, and end-users to drive collaborative success. Required Qualifications: Minimum 5 years' experience in ETL methodologies and development. At least 3 years' hands-on experience with SQL Server Integration Services (SSIS). Proficient with SQL Server scripting and data modeling. Experience working with Azure SQL instances. Strong understanding of data warehousing principles, concepts, and architecture. Bachelor's degree in Computer Science, Information Technology, MIS, Business Management, Engineering, Project Management, Communications, or related field; or equivalent professional experience. Knowledge of software development lifecycle (SDLC) and programming concepts. Skilled in Microsoft Office applications including Word, Excel, PowerPoint, and Visio. Effective multitasking skills with ability to meet delivery deadlines. Excellent analytical, problem-solving, and visualization skills to tackle complex data challenges. Strong verbal and written communication skills with ability to effectively interact across all organizational levels. Capability to coordinate team efforts with other departments including research, assessment, and accountability units.
Job Description Job Description Job Summary: Our client is seeking an experienced Data Warehouse ETL Developer to join their Data Analytics Team. The ideal candidate will have strong expertise in ETL methodologies, SSIS, and data warehousing, supporting efforts to deliver high-quality data extracts, reports, and dashboards. The role requires a Baltimore-area resident with excellent SQL skills and experience working within cross-functional teams. Location: Baltimore, Maryland (Hybrid part-time in office, part-time virtual; may transition to fully on-site) Experience Required: 5 years ETL development, 3 years SSIS experience. Education: Bachelor's degree in Computer Science, IT, MIS, Business Management, Engineering, Project Management, Communications, or a related field (or equivalent experience). Key Responsibilities: Develop, execute, and monitor ETL processes ensuring accurate and efficient data movement and transformation. Retrieve data from multiple systems for data extracts, reports, and dashboards, ensuring data quality before release. Write and maintain SQL test scripts to validate data against source transactional systems and the data warehouse. Document ETL processes, test cases, and results to support testing repeatability and knowledge sharing. Collaborate with SQL Server DBAs, system architects, and developers to design and optimize stable, reliable databases. Plan and coordinate data migration activities between systems in line with project goals. Assist in defining business and testing requirements in coordination with stakeholders. Conduct unit, system, and performance testing; support User Acceptance Testing and issue resolution. Adhere to software development standards, change control processes, and security protocols. Participate in continuous improvement initiatives to enhance process efficiency and effectiveness. Communicate project status and progress regularly to sponsors and stakeholders. Build strong relationships with project sponsors, technical staff, vendors, and end-users to drive collaborative success. Required Qualifications: Minimum 5 years' experience in ETL methodologies and development. At least 3 years' hands-on experience with SQL Server Integration Services (SSIS). Proficient with SQL Server scripting and data modeling. Experience working with Azure SQL instances. Strong understanding of data warehousing principles, concepts, and architecture. Bachelor's degree in Computer Science, Information Technology, MIS, Business Management, Engineering, Project Management, Communications, or related field; or equivalent professional experience. Knowledge of software development lifecycle (SDLC) and programming concepts. Skilled in Microsoft Office applications including Word, Excel, PowerPoint, and Visio. Effective multitasking skills with ability to meet delivery deadlines. Excellent analytical, problem-solving, and visualization skills to tackle complex data challenges. Strong verbal and written communication skills with ability to effectively interact across all organizational levels. Capability to coordinate team efforts with other departments including research, assessment, and accountability units.
Leading Path Consulting
Mc Lean, Virginia
Job Description Job Description Active TS/SCI w/ FSP required at time of application Location choice between Warrenton and McLean! We are seeking a hands-on Systems Engineer (SME) with deep expertise across infrastructure, platforms, and application ecosystems spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing ("as is") systems and applications, document current state architectures, design future-state solutions, and implement systems enhancements or technology transformations end-to-end. The ideal candidate is a technical leader and doer, not just an advisor - someone who can seamlessly collaborate across infrastructure, platform, application, DevSecOps, information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security. Requirements QUALIFICATIONS Bachelor's Degree in Computer Science or related technical discipline, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS Candidates must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g., routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g., SAN, NAS, object storage) Container platforms (e.g., Kubernetes, Docker) Linux (Redhat, CentOS) operating systems (administration, hardening, automation) IdAM - Public Key Infrastructure (PKI) hands-on for AuthN and AuthZ Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Event-based messaging systems (e.g., SQS, SNS, RabbitMQ) Engineering & Automation Infrastructure as Code - Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (e.g., PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (e.g., Jenkins, GitLab CI/CD, GitHub Actions, GitOps, ArgoCD) Security best practices and systems hardening Monitoring & Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: As-is architecture documentation To-be architecture and detailed engineering designs Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (e.g., logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting production or mission-critical environments Relevant certifications (e.g., cloud, systems, security, or architecture) Knowledge of machine learning platforms (e.g., TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (e.g., Hadoop, Databricks, Snowflake, Google BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Work with the System Architect and Cloud Architect to create the detail engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: Infrastructure & Platforms Engineers Software Engineers DevOps / DevSecOps Engineers Data Engineers (ETL) Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Benefits Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!
Job Description Job Description Active TS/SCI w/ FSP required at time of application Location choice between Warrenton and McLean! We are seeking a hands-on Systems Engineer (SME) with deep expertise across infrastructure, platforms, and application ecosystems spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing ("as is") systems and applications, document current state architectures, design future-state solutions, and implement systems enhancements or technology transformations end-to-end. The ideal candidate is a technical leader and doer, not just an advisor - someone who can seamlessly collaborate across infrastructure, platform, application, DevSecOps, information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security. Requirements QUALIFICATIONS Bachelor's Degree in Computer Science or related technical discipline, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS Candidates must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g., routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g., SAN, NAS, object storage) Container platforms (e.g., Kubernetes, Docker) Linux (Redhat, CentOS) operating systems (administration, hardening, automation) IdAM - Public Key Infrastructure (PKI) hands-on for AuthN and AuthZ Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Event-based messaging systems (e.g., SQS, SNS, RabbitMQ) Engineering & Automation Infrastructure as Code - Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (e.g., PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (e.g., Jenkins, GitLab CI/CD, GitHub Actions, GitOps, ArgoCD) Security best practices and systems hardening Monitoring & Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: As-is architecture documentation To-be architecture and detailed engineering designs Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (e.g., logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting production or mission-critical environments Relevant certifications (e.g., cloud, systems, security, or architecture) Knowledge of machine learning platforms (e.g., TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (e.g., Hadoop, Databricks, Snowflake, Google BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Work with the System Architect and Cloud Architect to create the detail engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: Infrastructure & Platforms Engineers Software Engineers DevOps / DevSecOps Engineers Data Engineers (ETL) Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Benefits Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!
Leading Path Consulting
Warrenton, Virginia
Job Description Job Description Active TS/SCI w/ FSP required at time of application Location choice between Warrenton and McLean! We are seeking a hands-on Systems Engineer (SME) with deep expertise across infrastructure, platforms, and application ecosystems spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing ("as is") systems and applications, document current state architectures, design future-state solutions, and implement systems enhancements or technology transformations end-to-end. The ideal candidate is a technical leader and doer, not just an advisor - someone who can seamlessly collaborate across infrastructure, platform, application, DevSecOps, information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security. Requirements QUALIFICATIONS Bachelor's Degree in Computer Science or related technical discipline, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS Candidates must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g., routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g., SAN, NAS, object storage) Container platforms (e.g., Kubernetes, Docker) Linux (Redhat, CentOS) operating systems (administration, hardening, automation) IdAM - Public Key Infrastructure (PKI) hands-on for AuthN and AuthZ Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Event-based messaging systems (e.g., SQS, SNS, RabbitMQ) Engineering & Automation Infrastructure as Code - Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (e.g., PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (e.g., Jenkins, GitLab CI/CD, GitHub Actions, GitOps, ArgoCD) Security best practices and systems hardening Monitoring & Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: As-is architecture documentation To-be architecture and detailed engineering designs Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (e.g., logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting production or mission-critical environments Relevant certifications (e.g., cloud, systems, security, or architecture) Knowledge of machine learning platforms (e.g., TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (e.g., Hadoop, Databricks, Snowflake, Google BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Work with the System Architect and Cloud Architect to create the detail engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: Infrastructure & Platforms Engineers Software Engineers DevOps / DevSecOps Engineers Data Engineers (ETL) Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Benefits Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!
Job Description Job Description Active TS/SCI w/ FSP required at time of application Location choice between Warrenton and McLean! We are seeking a hands-on Systems Engineer (SME) with deep expertise across infrastructure, platforms, and application ecosystems spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing ("as is") systems and applications, document current state architectures, design future-state solutions, and implement systems enhancements or technology transformations end-to-end. The ideal candidate is a technical leader and doer, not just an advisor - someone who can seamlessly collaborate across infrastructure, platform, application, DevSecOps, information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security. Requirements QUALIFICATIONS Bachelor's Degree in Computer Science or related technical discipline, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS Candidates must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g., routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g., SAN, NAS, object storage) Container platforms (e.g., Kubernetes, Docker) Linux (Redhat, CentOS) operating systems (administration, hardening, automation) IdAM - Public Key Infrastructure (PKI) hands-on for AuthN and AuthZ Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Event-based messaging systems (e.g., SQS, SNS, RabbitMQ) Engineering & Automation Infrastructure as Code - Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (e.g., PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (e.g., Jenkins, GitLab CI/CD, GitHub Actions, GitOps, ArgoCD) Security best practices and systems hardening Monitoring & Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: As-is architecture documentation To-be architecture and detailed engineering designs Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (e.g., logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting production or mission-critical environments Relevant certifications (e.g., cloud, systems, security, or architecture) Knowledge of machine learning platforms (e.g., TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (e.g., Hadoop, Databricks, Snowflake, Google BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Work with the System Architect and Cloud Architect to create the detail engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: Infrastructure & Platforms Engineers Software Engineers DevOps / DevSecOps Engineers Data Engineers (ETL) Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Benefits Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!
Leading Path Consulting
Mc Lean, Virginia
Job Description Job Description We are seeking a hands-on Systems Engineer with deep expertise across infrastructure, platforms, and application ecosystem spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing ("as-is") systems and applications, document current state architectures, design future-state solutions, and implement system enhancements or technology transformations end-to-end. The ideal candidate is a technical leader and achiever who can seamlessly collaborate across infrastructure, platform, application, DevSecOps, information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security. QUALIFICATIONS Bachelor's Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS The candidate must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g. routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g. SAN, NAS, object storage) Virtualization and container platforms (VMware, Hyper-V, Kubernetes, Docker) Windows and Linux (Redhat, CentOS) operating systems (administration, hardening, automation) Data platforms (HPCC, Hadoop/Cloudera) Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Data platforms (HPCC, Hadoop/Cloudera) Data pipelines, and ETL frameworks - with ETL pipelines, Airflow, Kafka, Spark, or similar frameworks Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Engineering & Automation Infrastructure as Code - Scripting Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (Jenkins, GitLab CI/CD, GitHub Actions, GitOps) Security best practices and system hardening Monitoring Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: o As-is architecture documentation o To-be architecture and detailed engineering designs o Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting regulated or mission-critical environments Relevant certifications (cloud, systems, security, or architecture) Knowledge of machine learning platforms (TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google, BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Design to-be architectures and detailed engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: o Infrastructure & Platform Engineers o Software Engineers o DevOps / DevSecOps Engineers o Data Engineers (ETL) o Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Serve as a technical authority and escalation point for complex system issues Communication Skills: Ability to brief executives clearly and translate technical issues into business impact IDEAL CANDIDATE PROFILE Recognized SME with deep, hands-on technical expertise Strong systems thinker with the ability to see and engineer across the full stack Comfortable operating at both strategic architecture and tactical implementation levels Excellent communication and collaboration skills across technical and non-technical teams Proven ability to own complex systems from design through production Requirements Eligible TS/SCI w/ FS Poly QUALIFICATIONS Bachelor's Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS The candidate must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g. routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g. SAN, NAS, object storage) Virtualization and container platforms (VMware, Hyper-V, Kubernetes, Docker) Windows and Linux (Redhat, CentOS) operating systems (administration, hardening, automation) Data platforms (HPCC, Hadoop/Cloudera) Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Data platforms (HPCC, Hadoop/Cloudera) Data pipelines, and ETL frameworks - with ETL pipelines, Airflow, Kafka, Spark, or similar frameworks Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Engineering & Automation Infrastructure as Code - Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (Jenkins, GitLab CI/CD, GitHub Actions, GitOps) Security best practices and system hardening Monitoring Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: o As-is architecture documentation o To-be architecture and detailed engineering designs o Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting regulated or mission-critical environments Relevant certifications (cloud, systems, security, or architecture) Knowledge of machine learning platforms (TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google, BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Design to-be architectures and detailed engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: o Infrastructure & Platform Engineers o Software Engineers o DevOps / DevSecOps Engineers o Data Engineers (ETL) o Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Serve as a technical authority and escalation point for complex system issues Communication Skills: Ability to brief executives clearly and translate technical issues into business impact IDEAL CANDIDATE PROFILE Recognized SME with deep, hands-on technical expertise Strong systems thinker with the ability to see and engineer across the full stack . click apply for full job details
Job Description Job Description We are seeking a hands-on Systems Engineer with deep expertise across infrastructure, platforms, and application ecosystem spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing ("as-is") systems and applications, document current state architectures, design future-state solutions, and implement system enhancements or technology transformations end-to-end. The ideal candidate is a technical leader and achiever who can seamlessly collaborate across infrastructure, platform, application, DevSecOps, information systems security, and data teams while maintaining ownership of system reliability, performance, scalability, and security. QUALIFICATIONS Bachelor's Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS The candidate must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g. routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g. SAN, NAS, object storage) Virtualization and container platforms (VMware, Hyper-V, Kubernetes, Docker) Windows and Linux (Redhat, CentOS) operating systems (administration, hardening, automation) Data platforms (HPCC, Hadoop/Cloudera) Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Data platforms (HPCC, Hadoop/Cloudera) Data pipelines, and ETL frameworks - with ETL pipelines, Airflow, Kafka, Spark, or similar frameworks Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Engineering & Automation Infrastructure as Code - Scripting Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (Jenkins, GitLab CI/CD, GitHub Actions, GitOps) Security best practices and system hardening Monitoring Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: o As-is architecture documentation o To-be architecture and detailed engineering designs o Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting regulated or mission-critical environments Relevant certifications (cloud, systems, security, or architecture) Knowledge of machine learning platforms (TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google, BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Design to-be architectures and detailed engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: o Infrastructure & Platform Engineers o Software Engineers o DevOps / DevSecOps Engineers o Data Engineers (ETL) o Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Serve as a technical authority and escalation point for complex system issues Communication Skills: Ability to brief executives clearly and translate technical issues into business impact IDEAL CANDIDATE PROFILE Recognized SME with deep, hands-on technical expertise Strong systems thinker with the ability to see and engineer across the full stack Comfortable operating at both strategic architecture and tactical implementation levels Excellent communication and collaboration skills across technical and non-technical teams Proven ability to own complex systems from design through production Requirements Eligible TS/SCI w/ FS Poly QUALIFICATIONS Bachelor's Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience Minimum ten (10) years of related systems engineering experience REQUIRED KNOWLEDGE/SKILLS The candidate must demonstrate hands-on experience in all the following areas: Infrastructure & Platforms Enterprise networking (e.g. routing, switching, firewalls, load balancers, DNS) Storage technologies (e.g. SAN, NAS, object storage) Virtualization and container platforms (VMware, Hyper-V, Kubernetes, Docker) Windows and Linux (Redhat, CentOS) operating systems (administration, hardening, automation) Data platforms (HPCC, Hadoop/Cloudera) Cloud & On-Prem Technologies Cloud platforms (AWS, Azure, and/or GCP) Hybrid and on-prem infrastructure design and integration Cloud networking, identity, security, and cost optimization Data & Application Platforms Relational and NoSQL databases - relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases Data platforms (HPCC, Hadoop/Cloudera) Data pipelines, and ETL frameworks - with ETL pipelines, Airflow, Kafka, Spark, or similar frameworks Web services, APIs, and middleware Software development lifecycle (SDLC) fundamentals Engineering & Automation Infrastructure as Code - Scripting & Automation: Python, Bash, PowerShell, Terraform, Ansible, or CloudFormation Configuration management and scripting (PowerShell, Bash, Python, etc.) CI/CD integration with infrastructure and platforms (Jenkins, GitLab CI/CD, GitHub Actions, GitOps) Security best practices and system hardening Monitoring Incident Response: Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, CloudWatch Architecture & Design Ability to create: o As-is architecture documentation o To-be architecture and detailed engineering designs o Implementation and migration plans DESIRED SKILLS Observability and monitoring tools (logging, metrics, tracing) Zero Trust and modern security architectures Data analytics, AI/ML platform exposure Experience supporting regulated or mission-critical environments Relevant certifications (cloud, systems, security, or architecture) Knowledge of machine learning platforms (TensorFlow, PyTorch, SageMaker) Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google, BigQuery) Strong background in ITIL processes and agile methodologies Certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator, Kubernetes CKA/CKAD, ITIL Foundation KEY RESPONSIBILITIES Perform hands-on systems engineering across network, compute, storage, operating systems, middleware, databases, and applications Analyze and document as-is infrastructure, platform, and application architectures Design to-be architectures and detailed engineering designs for modernization, optimization, and transformation initiatives Lead and execute cloud and on-prem system implementations, migrations, and upgrades Ensure systems meet availability, scalability, performance, security, and compliance requirements Integrate infrastructure and platforms with DevOps and DevSecOps pipelines Troubleshoot complex, cross-stack issues spanning infrastructure, platforms, and applications Collaborate effectively with: o Infrastructure & Platform Engineers o Software Engineers o DevOps / DevSecOps Engineers o Data Engineers (ETL) o Data Modelers, Data Scientists, and Data Analysts Produce clear technical documentation, diagrams, standards, and runbooks Serve as a technical authority and escalation point for complex system issues Communication Skills: Ability to brief executives clearly and translate technical issues into business impact IDEAL CANDIDATE PROFILE Recognized SME with deep, hands-on technical expertise Strong systems thinker with the ability to see and engineer across the full stack . click apply for full job details
Engineers and Constructors International Inc.
Houston, Texas
Job Description Job Description Join the ECI Group's Professional Technical Services Network as a contract Principal Data Engineer. This is a Houston TX based contract role with an anticipated 7-month duration with an estimated start date of October 5, 2026. Note: You must be a US Citizen or Permanent US Resident to qualify for this position. About the Role We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success. Key Responsibilities: Architect, design, and implement scalable Azure-based data lake solutions. Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog. Provide technical leadership, ensuring adherence to best practices and quality standards. Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming. Optimize Databricks resources for high-volume data processing without exceeding budget. Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management. Develop and enforce robust data governance policies, ensuring compliance, security, and data quality. Monitor data pipeline performance and proactively resolve production issues. Collaborate with cross-functional teams to align project objectives with business goals. Translate technical challenges into actionable insights for executive teams. Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies. Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies. Education and Experience: Bachelor's or Master's degree in IT or a related discipline. 15-17 years of experience in the IT industry with expertise in delivering cost-effective cloud-based data analytics solutions. Proven track record in building data lake architectures and optimizing performance in big data environments. Certification in Azure Data Engineering or Databricks (preferred). Technical Skills: Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics. Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL. Experience in designing and developing scalable ETL pipelines and optimizing data workflows. Deep understanding of data migration from on-premises to cloud, cloud to cloud. Leadership and Soft Skills: Proven ability to lead diverse teams and manage end-to-end analytics projects. Exceptional communication and collaboration skills for engaging executives and stakeholders. Strong sense of ownership, accountability, adaptability, and commitment to results. Expertise in identifying risks and implementing effective mitigation strategies. Nice to Have: Familiarity with big data tools like Hadoop, Kafka, and Spark. Experience with visualization tools such as PowerBI or QlikSense. Knowledge of AI/ML, NLP, and GenAI concepts. Familiarity with AGILE and KANBAN methodologies. Portfolio: Shell IDT/Downstream & Renewables IDT/Trading & Supply/TS - Crude & Products/TS - Products/TS - Products Investments Program: Project: T&S Future Freight Platform - Jigsaw Description: Build a new Freight Platform (replacing RADAR) to serve the freight business and its customers. This includes a new industry standard Voyage Management System (VIP) alongside other components to close capability gaps. Optimize business processes and define master data maintenance processes. The overall Freight Platform will serve as a hub to facilitate seamless integration of necessary data, supporting an ecosystem of IT tools that are aligned with Shell's business growth roadmap. Freight Platform Project will begin a detailed design phase through Stage Gate 2 to accomplish the following: An approved (Solution Architecture) that provides a solution for Industry standard Voyage Management System (VIP) alongside other IT components to close capability gaps - identified during the Study Phase Optimize business processes and define master data maintenance processes Establish how well the platform can meet the needs for capturing Freight exposure management across the house, with the potential to use existing ETRMs for this if required, What IMOS reporting capability to utilise and avoid paying for functionality in IMOS we don't need and can do internally in a cost-efficient manner, Identify MI data use-cases that provide Shell a competitive edge and develop them in-house e.g. with Qliksense offering-up alternate solutions for exposure reporting, VaR, Carbon Emissions reporting. Identify a middleware integration solution to replace Mulesoft to tie Shell systems to VESON VIP Develop a data platform solution to ingest, host and distribute data between multiple integration points Business Application: RADAR Bulk Upload, RADAR Mail, RADAR-SAFE, RadarMsgServer, RADAR_app, VESON VIP T&S Pr Data Modelling, Data Engineering, Data Integration Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice. Powered by JazzHR aBI8is58bZ
Job Description Job Description Join the ECI Group's Professional Technical Services Network as a contract Principal Data Engineer. This is a Houston TX based contract role with an anticipated 7-month duration with an estimated start date of October 5, 2026. Note: You must be a US Citizen or Permanent US Resident to qualify for this position. About the Role We are seeking a visionary Principal Data Engineer to lead the delivery of innovative data analytics solutions, with a focus on technical excellence, governance, and operational performance in a high-volume data environment. This role involves strategic and technical leadership in building Azure-based data lake solutions, driving maturity in data management, and engaging with cross-functional teams to leverage data for organizational success. Key Responsibilities: Architect, design, and implement scalable Azure-based data lake solutions. Establish roadmaps for capability-building across technologies such as Qlik Replicate, Databricks Delta Live Tables, and Unity Catalog. Provide technical leadership, ensuring adherence to best practices and quality standards. Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming. Optimize Databricks resources for high-volume data processing without exceeding budget. Oversee the use of Databricks Unity Catalog for data governance, lineage, and metadata management. Develop and enforce robust data governance policies, ensuring compliance, security, and data quality. Monitor data pipeline performance and proactively resolve production issues. Collaborate with cross-functional teams to align project objectives with business goals. Translate technical challenges into actionable insights for executive teams. Mentor and develop a high-performing team skilled in Azure, Databricks, and data streaming technologies. Facilitate knowledge transfer sessions to empower internal teams with cutting-edge methodologies. Education and Experience: Bachelor's or Master's degree in IT or a related discipline. 15-17 years of experience in the IT industry with expertise in delivering cost-effective cloud-based data analytics solutions. Proven track record in building data lake architectures and optimizing performance in big data environments. Certification in Azure Data Engineering or Databricks (preferred). Technical Skills: Strong knowledge of Azure technologies, including ADF, ADLS, Databricks, Stream Analytics, Delta Live Tables, and Synapse Analytics. Advanced proficiency in SQL and programming languages such as Python, Scala, or Spark-SQL. Experience in designing and developing scalable ETL pipelines and optimizing data workflows. Deep understanding of data migration from on-premises to cloud, cloud to cloud. Leadership and Soft Skills: Proven ability to lead diverse teams and manage end-to-end analytics projects. Exceptional communication and collaboration skills for engaging executives and stakeholders. Strong sense of ownership, accountability, adaptability, and commitment to results. Expertise in identifying risks and implementing effective mitigation strategies. Nice to Have: Familiarity with big data tools like Hadoop, Kafka, and Spark. Experience with visualization tools such as PowerBI or QlikSense. Knowledge of AI/ML, NLP, and GenAI concepts. Familiarity with AGILE and KANBAN methodologies. Portfolio: Shell IDT/Downstream & Renewables IDT/Trading & Supply/TS - Crude & Products/TS - Products/TS - Products Investments Program: Project: T&S Future Freight Platform - Jigsaw Description: Build a new Freight Platform (replacing RADAR) to serve the freight business and its customers. This includes a new industry standard Voyage Management System (VIP) alongside other components to close capability gaps. Optimize business processes and define master data maintenance processes. The overall Freight Platform will serve as a hub to facilitate seamless integration of necessary data, supporting an ecosystem of IT tools that are aligned with Shell's business growth roadmap. Freight Platform Project will begin a detailed design phase through Stage Gate 2 to accomplish the following: An approved (Solution Architecture) that provides a solution for Industry standard Voyage Management System (VIP) alongside other IT components to close capability gaps - identified during the Study Phase Optimize business processes and define master data maintenance processes Establish how well the platform can meet the needs for capturing Freight exposure management across the house, with the potential to use existing ETRMs for this if required, What IMOS reporting capability to utilise and avoid paying for functionality in IMOS we don't need and can do internally in a cost-efficient manner, Identify MI data use-cases that provide Shell a competitive edge and develop them in-house e.g. with Qliksense offering-up alternate solutions for exposure reporting, VaR, Carbon Emissions reporting. Identify a middleware integration solution to replace Mulesoft to tie Shell systems to VESON VIP Develop a data platform solution to ingest, host and distribute data between multiple integration points Business Application: RADAR Bulk Upload, RADAR Mail, RADAR-SAFE, RadarMsgServer, RADAR_app, VESON VIP T&S Pr Data Modelling, Data Engineering, Data Integration Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice. Powered by JazzHR aBI8is58bZ