Requirements Engineer jobs at Net2Source

The Endpoint Engineer is responsible for deploying, managing, and supporting endpoint technologies across clinical and administrative environments. This role ensures that all devices meet organizational standards for performance, security, and compliance while supporting the unique workflows of a healthcare setting. Knowledge, Skills, and Abilities Proficiency in Microsoft 365, Windows Operating Systems, Intune, SCCM, Active Directory, and Group Policy. Experience with mobile device management (MDM/MAM), such as Intune, JAMF, or Citrix XenMobile. Familiarity with clinical workflows and healthcare endpoint technologies. Strong troubleshooting skills across hardware, operating systems, and application environments. Essential Functions Endpoint Deployment & Configuration Build, configure, and deploy desktops, laptops, tablets, thin clients, and mobile devices using enterprise imaging and management tools. Ensure devices meet hospital security, compliance, and operational standards prior to release. Advanced Technical Support Provide Tier II/III support for escalated incidents, service requests, and problem management activities. Troubleshoot complex hardware, software, and peripheral issues in clinical and administrative environments. Partner with EUC Support and Help Desk teams to ensure proper issue resolution and knowledge transfer. Systems & Application Management Administer and support Microsoft 365, Intune, SCCM, and other enterprise endpoint management solutions. Package, test, and deploy applications, patches, and updates to the endpoint environment. Maintain and optimize Group Policy Objects (GPOs), login scripts, and device configurations. Healthcare Technology Integration Support clinical workstations, Workstations on Wheels (WoWs), printers, and medical-grade peripherals. Collaborate with clinical application teams (e.g., Epic Analysts, Nursing Informatics, Clinical Applications) to ensure endpoint compatibility and workflow support. Security & Compliance Enforce endpoint security policies, including encryption, EDR, conditional access, and mobile device management. Participate in vulnerability remediation, patch management, and compliance reporting activities. Support HIPAA and regulatory requirements by maintaining endpoint security and data protection measures. Project Participation & Execution Contribute to enterprise IT projects such as OS upgrades, device lifecycle refreshes, and mobility initiatives. Assist with design, testing, and rollout of new endpoint standards, technologies, and configurations. Document project deliverables, lessons learned, and standard operating procedures. Documentation & Knowledge Sharing Develop and maintain technical documentation, SOPs, and knowledge base articles. Provide technical training and guidance to junior staff and end users as needed. Continuous Improvement Monitor system performance, identify recurring issues, and recommend improvements. Stay current with emerging EUC technologies, industry best practices, and healthcare IT trends.

Cybersecurity Engineer Compensation: $50 - $60 /hour, depending on experience Inceed has partnered with a great company to help find a skilled Cybersecurity Engineer to join their team! Join a dynamic team as a Cybersecurity Engineer, where you'll independently execute significant cybersecurity projects across the U.S. and Canada. This opportunity arises from the need for local talent in Virginia to drive innovative cybersecurity solutions at various client sites. Embrace the chance to work hands-on, ensuring the highest level of security integrity while collaborating with industry leaders. Key Responsibilities & Duties: Execute network penetration testing and vulnerability assessments Design and implement secure systems and cybersecurity programs Conduct detailed post-event analysis and recommend procedural changes Develop policies for secure network design and firewall implementation Collaborate with other divisions to enhance cybersecurity measures Maintain confidentiality and security of client information Resolve technical issues and communicate implications effectively Perform cybersecurity compliance and regulatory standards planning Compile technical documentation and network traffic explanations Required Qualifications & Experience: Bachelor's Degree in Cybersecurity, Computer Science, or related field Minimum 3 years of relevant experience Advanced knowledge of cybersecurity principles and technologies Experience with vulnerability assessments and penetration tests Strong communication and analytical skills Ability to work under pressure and tight deadlines Knowledge of control systems used by utilities and smart cities Nice to Have Skills & Experience: Industry-recognized IT certifications in ethical hacking or network engineering Experience with SCADA systems and risk management frameworks Perks & Benefits: 3 different medical health insurance plans, dental, and vision insurance Voluntary and Long-term disability insurance Paid time off, 401k, and holiday pay Weekly direct deposit or pay card deposit If you are interested in learning more about the Cybersecurity Engineer opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: We're here to help every person, whether client, candidate, or employee, find and secure what's better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. #IND

Cloud Engineer (Longterm Contract) One of our client's key agencies is embarking on a major IT modernization initiative to migrate data and systems from one agency to theirs, moving away from mainframe environments and toward a secure, in-house cloud solution. We are seeking a highly skilled Cloud Engineer-with near-architect level expertise-to join this transformation effort. Key Responsibilities: Collaborate with a system integrator and internal IT teams to design and implement cloud migration strategies. Assess current AWS and Azure environments and recommend best-fit solutions for AGO's new cloud infrastructure. Provide architectural insights and guidance to ensure scalability, security, and compliance. Work autonomously to evaluate technologies and propose optimal configurations. Support the transition from mainframe systems to modern cloud platforms. Qualifications: Extensive experience with AWS and Microsoft Azure cloud environments. Strong background in cloud architecture, migration planning, and implementation. Ability to work independently and communicate effectively with technical and non-technical stakeholders. Familiarity with government IT environments and compliance standards is a plus. Contract Details: Duration: Multiyear Project Start Date: Early 2026

MLOps Engineer Remote | Pittsburgh, PA area On-site: 1 day/month eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE. Role Overview eNGINE is seeking a MLOps Engineer to manage and scale machine learning workflows from development to production. This role ensures that models are robust, maintainable, and performant in real-world environments, while collaborating closely with Data Science and Engineering teams to integrate ML solutions into digital products. Key Responsibilities Implement end-to-end ML deployment strategies to move models from development to production reliably Configure and manage scalable, cloud-based infrastructure for ML workloads Track and analyze model behavior and operational metrics to ensure consistent performance Establish automated processes for retraining, versioning, and releasing ML models Work closely with cross-functional teams to embed machine learning capabilities into applications and platforms Review and refine system architecture and pipelines to improve latency, throughput, and resource utilization Maintain documentation and operational standards for reproducible, production-ready ML systems Identify and apply new tools and technologies to streamline ML operations and reduce maintenance overhead Required Qualifications Bachelor's degree Experience deploying machine learning solutions in production environments Strong Python skills, including experience with numerical and ML libraries (NumPy, Pandas, scikit-learn) and at least one deep learning framework (PyTorch or TensorFlow) Experience with containerization and orchestration technologies such as Docker and Kubernetes Knowledge of cloud platforms (AWS, GCP, or Azure) and Infrastructure-as-Code tools Familiarity with ML workflow management or experiment tracking tools (MLflow, Kubeflow, or similar) Understanding of software engineering best practices, including version control, testing, and documentation Preferred Experience Prior involvement in building or supporting ML-driven digital products Experience optimizing ML pipelines for cost, performance, and scalability Collaborative experience with cross-functional engineering and data teams Practical exposure to monitoring, alerting, and incident response for ML systems Location & Work Environment Fully remote, with monthly on-site meetings in the Pittsburgh, PA area Next Steps For finer details on how eNGINE can enhance your career, apply today! No C2C, third-party candidates, relocation assistance, or sponsorship available for this role.

BlueWater Federal is looking for a Theater Manager to support the analysis of user needs and develop the design and associated hardware and software recommendations to support the SEWS program Responsibilities • Support the analysis of user needs and develop the design and associated hardware and software recommendations to support those needs. • Collaborate with SEWS contractor and government personnel to plan routine and emergency trips. • Provide rotating 24/7 on-call Tier 2 system support for remote users, to identify and resolve hardware, software, and communication issues, document solutions, and develop recommendations to reduce the frequency of repairs. • Respond to system outages to ensure issues are resolved per contract requirements. • Support foreign partner system and network installation, maintenance, and sustainment. • Support Emergency On-Site Sustainment (EOSS) travel to customer locations as required. • Respond to system component failures or change requests and plan system change or restoral implementation. • Plan, develop and conduct user training for existing staff as well as new CCMD and FMS users. • Travel up to 50% in a year to Foreign Partner locations. • Perform planning and execution for a single or multi-team sustainment and training trip. • Update Technical Data Package as required to document system. • Perform on-site sustainment including but not limited to system operational check out, inventory, system updates, equipment firmware updates and documentation updates. Qualifications 3+ years of experience in systems administration, Tactical Combat Operations, and GCCS • Must have an active Top Secret clearance with SCI Eligibility • Knowledge of virtualization concepts and products (VMware); Microsoft Active Directory (AD) for user and groups; Microsoft Operating Systems (Server & Workstation) • Familiarity with Oracle/Sybase/Postgres database maintenance; Java application servers (Tomcat, JBoss) • Familiarity with Linux/UNIX applications and services (NFS, SSH, NTP, LDAP, HTTP, Ansible) • DoD 8570 IAT Level II certification (Security+, CCNA Security, CySA+, GICSP, GSEC, CND, SSCP) • Partner and Allied nation exercise experience is desired BlueWater Federal Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. We offer a competitive health and wellness benefits package, including medical, dental, and vision coverage. Our competitive compensation package includes generous 401k matching, employee stock purchase program, and life insurance options, and time off with pay. Salary range: 135-145K

Data Engineer - Distributed Energy Resources (DER) Richmond, VA - Hybrid (1 week on - 1 week off) 12-month contract (Multiple Year Project) $45-55/hr. depending on experience We are hiring a Data Integration Engineer to join one of our Fortune 500 utilities partners in the Richmond area! In this role, you will support our client's rapidly growing Distributed Energy Resources (DER) and Virtual Power Plant (VPP) initiatives. You will be responsible for integrating data across platforms such as Salesforce, GIS, SAP, Oracle, and Snowflake to build our client's centralized asset tracking system for thermostats, EV chargers, solar assets, home batteries, and more. In this role, you will map data, work with APIs, support Agile product squads, and help design system integrations that enable our client to manage customer energy assets and demand response programs at scale. This is a highly visible position on a brand-new product team with the chance to work on cutting-edge energy and utility modernization efforts. If you are interested, please apply! MINIMUM QUALIFICATIONS: 3-5 years of experience in system integration, data engineering, or data warehousing and Bachelor's degree in Computer Science, Engineering, or related technical discipline. Hands-on experience working with REST APIs and integrating enterprise systems. Strong understanding of data structures, data types, and data mapping. Familiarity with Snowflake or similar data warehousing platform. Experience connecting data across platforms and/or integrating data from a variety of sources, i.e. SAP, Oracle, etc. Ability to work independently and solve problems in a fast-paced Agile environment. Excellent communication skills with the ability to collaborate across IT, business, engineering, and product teams. RESPONSIBILITIES: Integrate and map data across Salesforce, GIS, Snowflake, SAP, Oracle, and other enterprise systems Link distributed energy asset data (EV chargers, thermostats, solar, home batteries, etc.) into a unified asset tracking database Support API-first integrations: consuming, analyzing, and working with RESTful services Participate in Agile ceremonies and work through user stories in Jira Collaborate with product owners, BAs, data analysts, architects, and engineers to translate requirements into actionable technical tasks Support architecture activities such as identifying data sources, formats, mappings, and integration patterns Help design and optimize integration workflows across new and existing platforms Work within newly formed Agile product squads focused on VPP/Asset Tracking and Customer Segmentation Troubleshoot integration issues and identify long-term solutions Contribute to building net-new systems and tools as the client expands DER offerings NICE TO HAVES: Experience with Salesforce. Experience working with GIS systems or spatial data. Understanding customer enrollment systems. Jira experience. WHAT'S IN IT FOR YOU…? Joining our client provides you the opportunity to join a brand-new Agile product squad, work on high-impact energy modernization and DER initiatives, and gain exposure to new technologies and integration tools. This is a long-term contract with strong likelihood of extension in a stable industry and company. Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

Hybrid (Bethlehem, PA) Contract Applicants must be authorized to work in the U.S. without sponsorship We're looking for a Senior Data Engineer to join our growing technology team and help shape the future of our enterprise data landscape. This is a hands-on, high-impact opportunity to make recommendations, build and evolve a modern data platform using Snowflake and cloud-based EDW Solutions. How You'll Impact Results: Drive the evolution and architecture of scalable, secure, cloud-native data platforms Design, build, and maintain data models, pipelines, and integration patterns across the data lake, data warehouse, and consumption layers Lead deployment of long-term data products and infuse data and analytics capabilities across business and IT Optimize data pipelines and warehouse performance for accuracy, accessibility, and speed Collaborate cross-functionally to deliver data, experimentation, and analytics solutions Implement systems to monitor data quality and ensure reliability and availability of Production data for downstream users, leadership teams, and business processes Recommend and implement best practices for query performance, storage, and resource efficiency Test and clearly document data assets, pipelines, and architecture to support usability and scale Engage across project phases and serve as a key contributor in strategic data architecture initiatives Your Qualifications That Will Ensure Success: Required: 10+ years of experience in Information Technology Data Engineering: professional database and data warehouse development Advanced proficiency in SQL, data modeling, and performance tuning Experience in system configuration, security administration, and performance optimization Deep experience required with Snowflake and modern cloud data platforms (AWS, Azure, or GCP) Familiarity with developing cloud data applications (AWS, Azure, Google Cloud) and/or standard CI/CD tools like Azure DevOps or GitHub Strong analytical, problem-solving, and documentation skills Experience in system configuration, security administration, and performance optimization Proficiency with Microsoft Excel and common data analysis tools Ability to troubleshoot technical issues and provide system support to non-technical users. Preferred: Experience integrating SAP ECC data into cloud-native platforms Exposure to AI/ML, API development, or Boomi Atmosphere Prior experience in consumer packaged goods (CPG), Food / Beverage industry, or manufacturing

Contract-to-Hire (6 months) Lancaster, PA We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure that support analytics, AI, and data-driven decision-making. This role is hands-on and focused on building reliable, well-modeled datasets across modern cloud and lakehouse platforms. You will partner closely with analytics, data science, and business teams to deliver high-quality data solutions. Key Responsibilities Design, build, and optimize batch and real-time data pipelines for ingestion, transformation, and delivery Develop and maintain data models that support analytics, reporting, and machine learning use cases Design scalable data architecture integrating structured, semi-structured, and unstructured data sources Build and support ETL / ELT workflows using modern tools (e.g., dbt, Airflow, Databricks, Glue) Ingest and integrate data from multiple internal and external sources, including APIs, databases, and cloud services Manage and optimize cloud-based data platforms (AWS, Azure, or GCP), including lakehouse technologies such as Snowflake or Databricks Implement data quality, validation, governance, lineage, and monitoring processes Support advanced analytics and machine learning data pipelines Partner with analysts, data scientists, and stakeholders to deliver trusted, well-structured datasets Continuously improve data workflows for performance, scalability, and cost efficiency Contribute to documentation, standards, and best practices across the data engineering function Required Qualifications 3-7 years of experience in data engineering or a related role Strong proficiency in SQL and at least one programming language (Python, Scala, or Java) Hands-on experience with modern data platforms (Snowflake, Databricks, or similar) Experience building and orchestrating data pipelines in cloud environments Working knowledge of cloud services (AWS, Azure, or GCP) Experience with version control, CI/CD, and modern development practices Strong analytical, problem-solving, and communication skills Ability to work effectively in a fast-paced, collaborative environment Preferred / Nice-to-Have Experience with dbt, Airflow, or similar orchestration tools Exposure to machine learning or advanced analytics pipelines Experience implementing data governance or quality frameworks Familiarity with SAP data platforms (e.g., BW, Datasphere, Business Data Cloud) Experience using LLMs or AI-assisted tooling for automation, documentation, or data workflows Relevant certifications in cloud, data platforms, or AI technologies

Data Engineer Compensation: $80 - $90/hour, depending on experience Inceed has partnered with a great company to help find a skilled Data Engineer to join their team! Join a dynamic team as a contract Data Engineer, where you'll be the backbone of data-driven operations. This role offers the opportunity to work with a modern tech stack in a hybrid on-prem and cloud environment. You'll design and implement innovative solutions to complex challenges, collaborating with data scientists, location intelligence experts, and ML engineers. This exciting opportunity has opened due to a new project initiative and you'll be making a tangible impact. Key Responsibilities & Duties: Design and deploy scalable data pipelines and architectures Collaborate with stakeholders to deliver high-impact data solutions Integrate data from multiple sources ensuring quality and reliability Develop automation workflows and BI solutions Mentor others and contribute to the knowledge base Explore and implement emerging technologies Required Qualifications & Experience: 8+ years of experience in data engineering Experience with large oil and gas datasets Proficiency in SQL and Python Hands-on experience in cloud environments (Azure, AWS, or GCP) Familiarity with Apache Kafka, Apache Flink, or Azure Event Hubs Nice to Have Skills & Experience: Experience with Palantir Foundry Knowledge of query federation platforms Experience with modern data stack tools like dbt or Airflow Perks & Benefits: 3 different medical health insurance plans, dental, and vision insurance Voluntary and Long-term disability insurance Paid time off, 401k, and holiday pay Weekly direct deposit or pay card deposit If you are interested in learning more about the Data Engineer opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: We're here to help every person, whether client, candidate, or employee, find and secure what's better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Data Engineer Compensation: $ 80 - 90 /hour, depending on experience Inceed has partnered with a great energy company to help find a skilled Data Engineer to join their team! Join a dynamic team where you'll be at the forefront of data-driven operations. This role offers the autonomy to design and implement groundbreaking data architectures, working primarily remotely. This position is open due to exciting new projects. You'll be collaborating with data scientists and engineers, making impactful contributions to the company's success. Key Responsibilities & Duties: Design and deploy scalable data pipelines and architectures Collaborate with stakeholders to deliver high-impact data solutions Integrate data from various sources ensuring consistency and reliability Develop automation workflows and BI solutions Mentor others and advise on data process best practices Explore and implement emerging technologies Required Qualifications & Experience: 8+ years of data engineering experience Experience with PI Experience with SCADA Experience with Palantir Experience with large oil and gas datasets Proficiency in Python and SQL Hands-on experience in cloud environments (Azure, AWS, GCP) Nice to Have Skills & Experience: Familiarity with Apache Kafka or Flink Perks & Benefits: 3 different medical health insurance plans, dental, and vision insurance Voluntary and Long-term disability insurance Paid time off, 401k, and holiday pay Weekly direct deposit or pay card deposit If you are interested in learning more about the Data Engineer opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: We're here to help every person, whether client, candidate, or employee, find and secure what's better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Key Responsibilities: Manage and support batch processes and data pipelines in Azure Databricks and Azure Data Factory. Integrate and process Bloomberg market data feeds and files into trading or analytics platforms. Monitor, troubleshoot, and resolve data and system issues related to trading applications and market data ingestion. Develop, automate, and optimize ETL pipelines using Python, Spark, and SQL. Manage FTP/SFTP file transfers between internal systems and external vendors. Ensure data quality, completeness, and timeliness for downstream trading and reporting systems. Collaborate with operations, application support, and infrastructure teams to resolve incidents and enhance data workflows. Required Skills & Experience: 10+ years of experience in data engineering or production support within financial services or trading environments. Hands-on experience with Azure Databricks, Azure Data Factory, and Azure Storage, Logic Apps, Fabric. Strong Python and SQL programming skills. Experience with Bloomberg data feeds (BPIPE, TSIP,SFTP). Experience with Git, CI/CD pipelines, and Azure DevOps. Proven ability to support batch jobs, troubleshoot failures, and manage job scheduling. Experience handling FTP/SFTP file transfers and automation (e.g., using scripts or managed file transfer tools). Solid understanding of equities trading, fixed income trading, trading workflows, and financial instruments. Excellent communication, problem-solving, and stakeholder management skills.

IT Data Engineer Compensation: $125k-$155k (DOE) Inceed has partnered with a great company to help find a skilled IT Data Engineer to join their team! Join a dynamic team where innovation meets opportunity. This role is pivotal in advancing AI and data modernization initiatives, bridging traditional database administration with cutting-edge AI data infrastructure. The team thrives on collaboration and offers a hybrid work schedule. Key Responsibilities & Duties: Design and maintain scalable data pipelines. Develop RAG workflows for AI information access. Build secure connectors and APIs for data retrieval. Monitor and optimize data flows for consistency. Lead database administration and performance tuning. Manage database upgrades and storage optimization. Implement database security controls and standards. Support application integrations and data migrations. Define and maintain data models and metadata. Collaborate with teams to ensure compliance requirements. Required Qualifications & Experience: Bachelor's degree in Computer Science or related field. 7+ years in database administration or data engineering. Advanced SQL and data modeling skills. Experience with AI and analytics data pipelines. Familiarity with cloud-based data ecosystems. Hands-on experience with RAG and vectorization. Proficiency in scripting languages like Python. Experience leading vendor-to-internal transitions. Nice to Have Skills & Experience: Experience integrating enterprise systems into data platforms. Knowledge of data governance frameworks. Understanding of semantic data modeling. Experience with cloud migration of database workloads. Perks & Benefits: This opportunity includes a comprehensive and competitive benefits package-details will be shared during later stages of the hiring process. Other Information: Hybrid work schedule This position requires a background check and drug test If you are interested in learning more about the IT Data Engineer opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: We're here to help every person, whether client, candidate, or employee, find and secure what's better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Senior Data Engineer - Azure Data Warehouse (5-7+ Years Experience) Long term renewing contract Azure-based data warehouse and dashboarding initiatives. Work alongside architects, analysts, and researchers to build scalable, auditable, and business-aligned data assets using modern cloud tools and best practices. Key Responsibilities · Design and implement scalable data pipelines using ADF, Databricks, and Azure SQL Server · Apply Medallion architecture principles and best practices for data lake and warehouse design · Collaborate with Data Architects, Analysts, and Researchers to translate business needs into technical solutions · Develop and maintain CI/CD pipelines for data workflows and dashboard deployments · Lead troubleshooting and debugging efforts across ETL, SQL, and cloud environments · Mentor junior team members and promote best practices in data modeling, cleansing, and promotion · Support dashboarding initiatives with Power BI and wireframe collaboration · Ensure auditability, lineage, and performance across SQL Server and Oracle environments Required Skills & Experience · 5-7+ years in data engineering, data warehouse design, and ETL development · Strong expertise in Azure Data Factory, Data Bricks, and Python · Deep understanding of SQL Server, Oracle, Postgres SQL & Cosmos DB and data modeling standards · Proven experience with Medallion architecture and data Lakehouse best practices · Hands-on with CI/CD, DevOps, and deployment automation · Agile mindset with ability to manage multiple priorities and deliver on time · Excellent communication and documentation skills Bonus Skills · Experience with GCP or AWS · Familiarity with Jira, Confluence, and AppDynamics

Kavaliro is seeking a Zero Trust Security Architect / Data Engineer to support a mission-critical program by integrating secure architecture principles, strengthening data security, and advancing Zero Trust initiatives across the enterprise. Key Responsibilities Develop and implement program protection planning, including IT supply chain security, anti-tampering methods, and risk management aligned to DoD Zero Trust Architecture. Apply secure system design tools, automated analysis methods, and architectural frameworks to build resilient, least-privilege, continuously monitored environments. Integrate Zero Trust Data Pillar capabilities-data labeling, tagging, classification, encryption at rest/in transit, access policy definition, monitoring, and auditing. Analyze and interpret data from multiple structured and unstructured sources to support decision-making and identify anomalies or vulnerabilities. Assess cybersecurity principles, threats, and vulnerabilities impacting enterprise data systems, including risks such as corruption, exfiltration, and denial-of-service. Support systems engineering activities, ensuring secure integration of technologies and alignment with Zero Trust operational objectives. Design and maintain secure network architectures that balance security controls, mission requirements, and operational tradeoffs. Generate queries, algorithms, and reports to evaluate data structures, identify patterns, and improve system integrity and performance. Ensure compliance with organizational cybersecurity requirements, particularly confidentiality, integrity, availability, authentication, and non-repudiation. Evaluate impacts of cybersecurity lapses and implement safeguards to protect mission-critical data systems. Structure, format, and present data effectively across tools, dashboards, and reporting platforms. Maintain knowledge of enterprise information security architecture and database systems to support secure data flow and system design. Requirements Active TS/SCI security clearance (required). Deep knowledge of Zero Trust principles (never trust, always verify; explicit authentication; least privilege; continuous monitoring). Experience with program protection planning, IT supply chain risk management, and anti-tampering techniques. Strong understanding of cybersecurity principles, CIA triad requirements, and data-focused threats (corruption, exfiltration, denial-of-service). Proficiency in secure system design, automated systems analysis tools, and systems engineering processes. Ability to work with structured and unstructured data, including developing queries, algorithms, and analytical reports. Knowledge of database systems, enterprise information security architecture, and data structuring/presentation techniques. Understanding of network design processes, security tradeoffs, and enterprise architecture integration. Strong ability to interpret data from multiple tools to support security decision-making. Familiarity with impacts of cybersecurity lapses on data systems and operational environments. Kavaliro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Pinnacle Partners is assisting our client in the search for a Senior Data Engineer to join their team in the Indianapolis, IN area. This successful resource will be responsible for supporting the large-scale data modernization initiative and operationalize the platform moving forward. RESPONSIBILITIES: Design, develop, and refine BI focused data architecture and data platforms Work with internal teams to gather requirements and translate business needs into technical solutions Build and maintain data pipelines supporting transformation Develop technical designs, data models, and roadmaps Troubleshoot and resolve data quality and processing issues Create and maintain detailed documentation for data warehouses, data stores, and end-to-end data flows Mentor and support junior team members REQUIREMENTS: 5+ years of hands-on experience with data warehousing, databases, and dimensional data modeling 5+ years of experience across end-to-end data analysis and development Experience using GIT version control Advanced SQL skills Strong experience with AWS cloud PREFERRED SKILLS: Experience with Snowflake Experience with Python or R Bachelor's degree in an IT-Related field TERMS: This is a direct hire opportunity with a salary up to $130K based on experience. They offer benefits including medical, dental, and vision along with generous PTO, 401K matching, wellness programs, and other benefits.

We are looking for a DevOps Engineer for our client with offices in Windsor, CT. This is a contract-to-hire opportunity and a hybrid schedule. NO 3rd PARTIES, NO SPONSORSHIP, NO EXCEPTIONS. Candidates MUST be authorized to work in the United States without sponsorship. The DevOps Engineer is responsible for maintaining and monitoring cloud infrastructure, as well as the processes necessary to support the tools and infrastructure used by our client. The DevOps Eng. will work with the other DevOps team members to enhance, improve and extend the cloud infrastructure. The DevOps Eng. is a blend of diligent and pragmatic operators and software craftspeople that apply sound IT principles, operational discipline, mature automation and IT security to our client's cloud environments. Education/Experience Required: • Bachelor's Degree, or education and training normally associated with a Bachelor's Degree in Computer Science or related field. • Strong knowledge of Linux and scripting languages (bash, awk, sed, yum). • Good knowledge of Python. • Containerization and orchestration tools like Docker Swarm and Kubernetes. • Good understanding of AWS Cloud Services and technologies: JVM, Apache Tomcat, IT Automation tools (e.g. Ansible and Jenkins).

Client located in Englewood, Colorado is seeking a Senior DevOps Engineer for a contract to hire position. This person will join a five-person team for DevOps in a mixed AWS / Azure environment. HYBRID SCHEDULE: This role requires onsite work 3 days per week. Only local candidates will be considered. Required: -5+ years DevOps experience. -Strong containerization skills (Docker, Kubernetes). -Strong automation skills (PowerShell, Python, Bash). -Terraform expertise. -Leadership mentality - willing to mentor and help team with implementing best practices. Desired: -Certifications (DevOps Engineer, Terraform Associate) -Computer Science degree.

Title: Senior Azure Data Engineer Client: Major Japanese Bank Experience Level: Senior (10+ Years) The Senior Azure Data Engineer will design, build, and optimize enterprise data solutions within Microsoft Azure for a major Japanese bank. This role focuses on architecting scalable data pipelines, enhancing data lake environments, and ensuring security, compliance, and data governance best practices. Key Responsibilities: Develop, maintain, and optimize Azure-based data pipelines and ETL/ELT workflows. Design and implement Azure Data Lake, Synapse, Databricks, and ADF solutions. Ensure data security, compliance, lineage, and governance controls. Partner with architecture, data governance, and business teams to deliver high-quality data solutions. Troubleshoot performance issues and improve system efficiency. Required Skills: 10+ years of data engineering experience. Strong hands-on expertise with Azure Synapse, Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure SQL. Azure certifications strongly preferred. Strong SQL, Python, and cloud data architecture skills. Experience in financial services or large enterprise environments preferred.

The candidate should be able to drive implementation and improvement of tools and technologies for enterprise adoption in accordance with operational and security standards. Practice and promote a Site Reliability Engineering (SRE) culture to improve and operate cloud platform offerings to the enterprise while working toward innovation, automation, and operational excellence. Automation experience is a must for this position. Ability to provide 24x7 operational support on a periodic basis and involvement in Issue resolution is a must. Must Have Qualifications: Must have 5+ years of have on experience with AWS CloudFormation and Terraform. Automation through Shell Scripting and Python required (Ansible nice to have). 3+ years of experience with EKS and Kubernetes Technical expertise: 7+ years of overall information technology experience with an emphasis on integration and delivery of virtual/cloud platforms to enterprise applications. At least 5 years of proven experience with AWS CloudFormation, Terraform, or similar tools. 3+ years of experience with engineering and supporting containerization technology (OpenShift, Kubernetes, AWS(ECS/EKS), etc.) at scale. Experience in Python, Ansible and shell scripting to automate routine operation tasks. Experience in Tetrate, Rancher, ArgoCD are highly preferred. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Aishwarya Chandra Email: **************************************** Job ID: 25-53450