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Job Description Position: Data Engineer w/Azure Company Overview: Direct Recruit Agency is a leading recruitment agency that specializes in providing top talent to companies across various industries. Our team is dedicated to connecting the best candidates with the right companies, and we are currently seeking a skilled Data Engineer to join our growing team. Job Overview: As a Data Engineer, you will be responsible for designing, building, and maintaining our company's data infrastructure. You will work closely with our data scientists, analysts, and other team members to ensure the accuracy, security, and accessibility of our data. Your role will be crucial in helping our company make data-driven decisions and achieve our business goals. Key Responsibilities: • Design and implement data pipelines to collect, process, and store large amounts of data from various sources., • Develop and maintain data warehouses, data lakes, and other data storage solutions., • Collaborate with data scientists and analysts to understand their data needs and provide them with the necessary tools and resources., • Build and maintain data integration and ETL processes to ensure data accuracy and consistency., • Monitor and troubleshoot data pipelines and systems to identify and resolve any issues., • Implement data security measures to protect sensitive information., • Stay updated on industry trends and best practices in data engineering and recommend improvements to our data infrastructure., • Train and mentor junior data engineering team members. Qualifications: • Bachelor's degree in Computer Science, Information Systems, or a related field. 5+ years of experience in building out data pipelines in Python or Java 2+ years of experience working in Azure Cloud Service Experience with data processing platform, such as Azure Data Factory Experience with data lake/data marts/data warehouse Experience with transactional database engines, such as SQL server Fluent with SQL for data analysis Excellent analytical and problem-solving skills with the ability to think quickly and offer alternatives both independently and within teams. Exposure working in an Agile environment with Scrum Master/Product owner and ability to deliver Experience with Spark Experience working in Hadoop or other Big data platforms Exposure to deploying code through pipeline Good exposure to Containers like ECS or Docker Working experience in a Linux based environment Direct experience supporting multiple business units for foundational data work and sound understanding of capital markets within Fixed Income Knowledge of Jira, Confluence, SAFe development methodology & DevOps Proven ability to work quickly in a dynamic environment. Bachelor's degree Computer Science or a related field. Ability to communicate the status and challenges with the team Demonstrating the ability to learn new skills and work as a team • Strong programming skills in languages such as SQL, Python, and Java., • Experience with data warehousing and ETL tools such as AWS Redshift, Informatica, or Talend., • Knowledge of data modeling and database design principles., • Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud., • Excellent problem-solving and analytical skills., • Strong communication and collaboration skills. Why Work for Us: At Direct Recruit Agency, we value our employees and provide a supportive and inclusive work environment. We offer competitive salaries, benefits, and opportunities for career growth and development. As a Data Engineer, you will have the chance to work with cutting-edge technologies and make a significant impact on our company's success. If you are a motivated and skilled Data Engineer looking for a challenging and rewarding opportunity, we encourage you to apply and join our dynamic team at Direct Recruit Agency.

Job Description ur Challenge: We are seeking a seasoned Senior Java Developer with strong domain knowledge in fixed income—particularly Municipal bonds—and a solid foundation in software design and development. You will play a key role in designing and implementing scalable, low-latency systems that support real-time pricing and risk analytics for front-office trading. Key Responsibilities • Design, develop, and maintain Java-based applications for pre-trade pricing and risk analytics., • Collaborate with traders, quants, and fellow engineers to deliver robust and scalable solutions., • Ensure high performance, reliability, and maintainability of the codebase., • Participate in code reviews, architecture discussions, and continuous improvement initiatives., • 10+ years of professional experience in Java software development., • Strong understanding of fixed income products, with a focus on Municipal bonds and broader credit markets., • Experience with pre-trade analytics, pricing models, and risk calculations., • Solid grasp of software engineering principles, design patterns, and best practices., • Proficiency in SQL and experience with various database technologies., • Excellent problem-solving skills and attention to detail., • Experience with .NET C#, kdb+/q, Aeron messaging, Hydra, and Eureka-based web services.

Job DescriptionAbout the Company Our client is a profitable Enterprise SaaS company specializing in data privacy governance, data security, consent management, and regulatory compliance solutions for enterprises. Their innovative, patented Hybrid AI technology ensures seamless compliance with GDPR, CCPA, and other privacy regulations, while providing unified consent and preference management APIs for efficient data handling across multiple channels. With a proven product-market fit and Fortune 100 customers, the company is at the forefront of shaping the future of data privacy and AI-driven compliance. * Company HQ: United States * Product: AI-powered privacy compliance and data governance platform (SaaS) * Candidate Location: Falls Church, VA or Greenville, DE (office 2-3 days per week) * Start Date: As soon as possible The Mission Our client's mission is to contribute to a better society by advocating for proper data protection legislation, responsibly safeguarding customer data, preserving individual privacy rights, and enhancing trust between businesses and consumers through greater transparency. As a technical lead, you will play a critical role in driving the engineering vision and delivering impactful products that address evolving privacy and security challenges. The Opportunity Join a dynamic engineering team as a Lead Software Engineer (Full Stack), where you'll lead technical initiatives, mentor peers, and directly influence the architecture and success of mission-critical privacy and data security products. This is a unique opportunity for an experienced engineer to advance into a Director of Engineering role within 18 months, while working on cutting-edge technology in a collaborative, startup-like environment. What You'll Do * Write clean, secure, and high-quality code aligned with product requirements * Build interactive web applications, RESTful APIs, and efficient algorithms * Optimize application performance, security, and browser compatibility * Lead feature implementation and redesign complex interfaces * Influence technical decisions to ensure quality, scalability, reliability, and security * Mentor and guide other engineers, fostering a culture of excellence and growth * Act as a client-facing technical leader during implementation phases * Collaborate closely with a cross-functional team to deliver on tight deadlines What You Bring * Bachelor’s degree or higher in Computer Science or a related field (required) * Minimum 10 years of experience in software engineering roles * Strong experience with LAMP/LEMP stack and Linux command line proficiency * Proven ability to build scalable, load-balanced web applications and APIs * Client-facing experience and strong communication skills * Experience leading and mentoring engineering teams * Startup or fast-paced environment experience with the ability to manage multiple priorities * Willingness and ability to work from the Falls Church, VA or Greenville, DE office 2-3 days per week Preferred Technical Skills: * Programming: PHP, JavaScript, Python, Java * Frontend: ReactJS, JQuery, Bootstrap * Backend & API: RESTful APIs, AJAX, microservices architecture * Databases: SQL, NoSQL (Cassandra, MongoDB), Big Data (Hadoop, Hive, HBase) * Caching & Messaging: Redis, RabbitMQ * Cloud & Containerization: Docker, AWS, IaaS, PaaS, Elastic Search * DevOps & Version Control: Git, Bitbucket, third-party testing frameworks * Bonus: Security/privacy technologies (encryption, vulnerability assessment) * Bonus: Open-source project contributions * Bonus: Hands-on experience with AI algorithms Key Success Drivers * Strong self-discipline and self-motivation * High ethical standards, honesty, and transparency * Adaptability and comfort wearing multiple hats in a fast-changing environment * Ability to work effectively with diverse team members * Proactive leadership and a collaborative mindset Why Join? * Competitive Compensation: $140,000–$180,000 annually (negotiable, based on location and experience) * Comprehensive benefits: 100% paid medical, dental, and vision for employees and families (gold plan with zero out-of-pocket) * Financial Security: 401(k) plan with company match and company-paid life insurance * Hybrid schedule (2-3 days in-office), 2 weeks paid vacation * Career Advancement: Clear path to Director of Engineering within 18 months * Technical Growth: Work with modern technologies, solving complex, meaningful problems * Technical Impact: Significant influence on architecture and engineering practices * Professional Development: Tuition reimbursement for continued education and technical training * Collaborative Environment: Work alongside other talented engineers in a supportive culture * Team Building: Regular company events, celebrations, and team dinners Interviewing Process * HR Screening * Level 1: Phone interview with the Hiring Manager (technical background and client communication skills) * Level 2: On-site interview in the office (skills assessment) * Reference and Background Checks: conducted after successful interviews * Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $140K - $180K

Job Description 100% Remote. Our client has an opening for a Cybersecurity Engineer 3 (764117) This position is up to 5 months with the option of extension. The client is located in Richmond, VA. 5+ years in IT security or cloud security roles required. Required 5 Years 3+ years of hands-on experience securing Azure environments Required 3 Years Bachelor’s degree in Computer Science, Cybersecurity, or related field or equivalent work experience required. Required 5 Years Relevant certifications (MS Certified Cybersecurity Architect Expert, Azure Security Engineer Associate (SC-300), CompTIA Security+, CISSP, CISM Highly desired 5 Years Experience with Azure Security Services (Azure Defender, MS Sentinel, Azure Key Vault, Azure Policy and Blueprints, Azure Security Center) required. Required 5 Years Experience with Azure Active Directory (AAD), including conditional access, MFA, and identity protection required. Required 5 Years Extensive knowledge of PIM and RBAC required Required 5 Years Experience with NSGs, ASGs, VPN, ExpressRoute, and hybrid connectivity security required Required 5 Years Ability to implement and moitor compliance with regulatory standards such as NIST, ISO 27001, GDPR, etc. is required Required 5 Years Extensive knowledge of threat modeling and vulnerability management, SIEM/SOAR tuning and response workflows, and security alert triage and forensics Required 5 Years Ability to perform scripting and automation using PowerShell, Bicep, ARM templates, or Terraform Required 5 Years Ability to perform perform integration with CI/CD pipelines for secure deployments (GitHub Actions, Azure DevOps) Required 5 Years Ability to create and deliver security architecture reports and documentation Required 5 Years Experience in risk assessment and mitigation strategies Required 5 Years By replying to this job advertisement, I agree I want to receive additional job advertisements from FHR, including email, phone and mail to the contact information I am submitting. I consent to FHR, its affiliates, third parties and partners processing my personal data for these purposes and as described in the Privacy Policy. I understand that I can withdraw my consent at anytime.

Job DescriptionDescription: About Us: At Affiliated Monitoring, our success depends on our ability to respond to customer alarms and provide life-saving services in a timely manner. Our networks and telecommunications systems are the lifeblood of our company and our ability to service our customers. We are looking for a highly skilled Lead Systems Engineer who is both hands-on with system and infrastructure design, and capable of leading teams, projects, and initiatives. If you thrive in a dynamic environment where you can design, implement, and optimize systems while also mentoring and leading a team, this role is for you! Job Overview: As a Lead Systems Engineer, you will take ownership of systems architecture, implementation, troubleshooting, and security, while also playing a key leadership role in guiding junior engineers and collaborating with stakeholders. You’ll work closely with IT, security, and operations teams to ensure high availability, scalability, and security across our infrastructure. KEY RESPONSIBILITIES Infrastructure Architecture, Cloud & Systems Management • Contribute to infrastructure architecture design that bridges on-prem and cloud environments—supporting a transition to hybrid infrastructure centered around AWS, with potential use of Azure or Google Cloud., • Configure, manage, and monitor SAN storage arrays; support provisioning, performance tuning, and capacity planning., • Plan and implement scalable, resilient system architectures across compute, storage, cloud, and network tiers., • Administer Linux and Windows systems in a hybrid environment (Debian, Photon OS, Windows Server)., • Architect, deploy, and manage VMware infrastructure including ESXi hosts, vSphere clusters, and vCenter across production data centers and integrated cloud environments., • Lead support and development of the Horizon VDI environment, including gold image creation, performance tuning, and operational stability., • Build and cable physical hypervisor servers, ensuring proper integration with network, power, and storage infrastructure., • Collaborate closely with the Networking team to align switching, VLANs, and virtual networking within the VMware ecosystem., • Serve as the technical lead for the Systems team, providing daily guidance, mentorship, and support., • Lead by example through hands-on contributions, reinforcing best practices in engineering, documentation, and issue response., • Foster a high-performance team culture focused on continuous learning, critical thinking, and proactive problem-solving., • Partner with the Director of Systems on infrastructure roadmaps and long-term cloud strategy, leading hybrid initiatives that transition appropriate workloads to AWS, while maintaining critical on-premise operations., • Own infrastructure projects from design to deployment across our entire organization., • Support DevOps workflows by providing infrastructure support for tools like Nomad, Consul, and Vault within the VMware ecosystem., • Evaluate cloud-based tools and services (e.g., Azure AD, Exchange Online, GCP workloads) to enhance reliability, scalability, or collaboration for internal teams., • Stay informed on industry trends, especially related to VMware’s roadmap under Broadcom, and guide cloud and infrastructure planning accordingly., • Lead or support escalations during critical incidents, contributing to root-cause analysis and resilience improvement efforts.Requirements: Must-Have Skills • 8+ years of experience in IT systems engineering, including 5+ years hands-on with VMware technologies., • Deep technical expertise in VMware vSphere, vCenter, ESXi, and Horizon (VDI)., • Demonstrated experience architecting and supporting high-availability virtual environments., • Strong knowledge of SAN storage configuration, data center power/cooling, and rack-and-stack practices., • Experience with Linux (Debian, Photon OS) and Windows Server administration., • Comfort with automation and scripting using PowerShell, Bash, or similar., • Proven leadership in a team lead or project lead capacity; ability to guide and mentor engineers effectively., • Strong troubleshooting and incident response skills with a calm, analytical approach., • Excellent written and verbal communication skills., • Familiarity with HashiCorp Nomad (container orchestration), Vault (secrets management), and Consul (service discovery)., • Exposure to Google Cloud Platform (GCP) or Azure in addition to AWS. Impactful Work: Your contributions will directly impact on the reliability and security of our life-saving services. Cutting-Edge Technology: Work with the latest technologies in a dynamic and innovative environment. Competitive Compensation & Benefits: We offer a competitive salary and comprehensive benefits package. Collaborative Culture: Be part of a talented and supportive team. Affiliated Monitoring is an Equal Opportunity Employer. Here, we believe that embracing innovation is not just a core value, but a responsibility. We are committed to building an inclusive and diverse workplace where everyone, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic, feels valued and supported. We provide equal opportunities to all applicants and employees and strive to foster a culture where differences are celebrated, and everyone's voice is heard. Your unique perspectives and experiences are what drive us forward.

Job Description Senior Data Engineer MUST be local to Iselin NJ, Hybrid Schedule at least 3 days onsite Salary: up to $160k No Sponsorship Available Major Responsibilities: • Building and maintaining data pipelines to ingest data from source systems into Databricks, • Designing, Building and maintaining generic frameworks to ingest data through the medallion layers, • Working with the core data platform team to integrate the framework with reference architecture, • 10+ years of data engineering experience in building OLTP and OLAP databases, both on-prem and in the cloud, • 5+ years of experience with large scale data processing using SQL, Python, Pandas and PySpark, • 5+ years of experience building robust and scalable data pipelines in Databricks Lakehouse platform on any key cloud platform provider, preferably Azure cloud, • Experience with implementing Medallion architecture for data processing, • Experience with implementing Streaming data ingestion using Kafka, • Test driven development experience, • Proven experience in solution design and applying best design practices, • Data modelling and ER/UML diagram skills, • Experience with orchestration/enterprise scheduler platforms like Airflow, Tidal etc., • Experience with implementing API based data integration pipelines, • Experience with source control and DevOps for CI/CD, • Experience working in Agile/scrum methodologies, • Experience with Jira, confluence for project work and documentation, • Experience with Service now for incident management, • Finance domain knowledge in Investment Banking (Securities, Capital markets)and Security reference data knowledge, • Nice to have ADF and SSIS experience* College degree required.

Job Description Role: Devops Engineer Location: Woodbridge Township New Jersey Look for Local/Nearby candidates W2 Candidates(USC,GC.GC EAD,H4EAD)- with minimum validity of 12 months Only one round- F2F Required This role focuses on building and securing the OpenShift Container Platform environment from the ground up. The individual will be instrumental in establishing and maintaining a secure and compliant infrastructure for the new data risk and control platform. 7+ years of -hands-on experience establishing SecDevOps and CI/CD pipelines from scratch for enterprise solutions -hands-on experience leading and implementing enterprise & tech mandated non-functional requirements (NFR) -experience aligning delivering on performance metrics and SLAs, building tools and frameworks to ensure metrics/SLAs adherence, and setting up best technology practices -experience working closely with partners in Infosec, Infrastructure and Operations to align with technology standards and establish CI/CD & SecDevOps practices -experience identifying, managing and remediating IT risk and tech debt -hands-on experience leveraging various approved on-prem and cloud capabilities to have seamless CI/CD integration with build, test, deployment and prod monitoring Experience with establishing production operating model, change, incident & defect management Experience establishing frameworks and best practices for seamless integration 7+ years of experience with Docker, Kubernetes, OpenShift containers 5+ years of experience with Cloud Providers like OpenShift (OCP), GCP, Azure 7+ years of experience with Eclipse/intelliJ IDE 5+ years of experience with CI/CD tools like Jenkins, Harness, UCD, GitHub, Maven, Gradle 5+ years of experience with DevSecOps tools like SonarQube, GitLab, Checkmarx, Black Duck 5+ years of experience with Deployment, Logging, Monitoring tools ELK Stack, Splunk, AppDynamics, Liquibase 5+ Proficiency in scripting languages such as Python, Bash, Shell 3+ years of experience with tests frameworks using Jasmine, Karma, Selenium, Junit, JMeter, Rest Assured, Postman 3+ years of experience working in Agile environment using Scrum/Kanban 3+ years of experience working in Jira, Confluence 3+ years of experience with ServiceNow workflows to manage production changes, incidents and defects

Job Description Microsoft Fabric Data Engineer needs 7+ years of experience in Microsoft Azure Microsoft Fabric Data Engineer requires: • 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions., • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:, • Software development and scripting languages, • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow)., • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)., • Knowledge of data modeling and data warehousing concepts., • Excellent problem-solving and troubleshooting abilities., • Attention to detail and commitment to data accuracy., • Experience with cloud-based data migration., • Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions., • Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver., • 3+ years of programming experience in Python/Pyspark., • 7+ years of experience in Microsoft Azure., • Knowledge of Jira, Confluence, SAFe development methodology & DevOps., • Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark

Experience with implementing API based data integration pipelines Experience with source control and DevOps for CI/CD Experience working in Agile/scrum methodologies Experience with Jira, confluence for project work and documentation Experience with Service now for incident management Finance domain

Minimal bachelors degree in Computer Sciences Software Engineering Electronics Engineering Network Engineering Bioinformatics Computational Biology or an equivalent field.

Title: AWS Data Engineer Location: Remote Duration: 6 Months (Contract To Hire) As a Cloud Engineer within the AWS AI/ML platform team, you will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the AI/ML infrastructure and application patterns that power mission-critical applications, ensuring that they’re engineered for high availability, durability, and resiliency. You will be part of an agile team that combines various backgrounds, experiences, and perspectives to solve complex problems within AWS and beyond. Responsibilities: • Focus on optimizing existing systems, building infrastructure, and eliminating work through automation., • Influence application and security architecture and design across multi and hybrid cloud platforms., • Peer-reviewing infrastructure-as-code (AWS CloudFormation, Python, Terraform, or similar)., • Partnering with application and infrastructure teams to develop reusable cloud patterns., • Deployment and troubleshooting of infrastructure code., • Partner with the Site Reliability Engineering (SRE) team to conduct post-incident reviews and root cause analysis and building monitoring and automation to prevent future incidents., • Identify opportunities to build self-service capabilities and automate infrastructure and application deployments., • Develop tools and best practices for platform development, developer productivity, automation (MLOps, CI/CD, A/B testing), and production operations., • Design, Develop & deliver critical components, frameworks, services, and products using AWS SageMaker, Bedrock, Lambda, and container technologies in AWS., • Expertise in LLM, Agentic framework, Agentic AI, • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • The cloud is a rapidly changing world, with the major players announcing new features almost on a daily basis. A successful Cloud Engineer doesn’t need to know everything about everything but instead keeps a pulse on new developments and emerging paradigms to identify areas where they can continuously improve their skill sets., • Ability to debug, optimize code, and automate routine tasks., • A systematic problem-solving approach coupled with a strong sense of ownership and drive., • Ability to quickly pickup and understand where newly released cloud services would be appropriate for business applications., • Experience with infrastructure automation tools such as Puppet, Ansible, CloudFormation, or Terraform., • Working knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable tools., • Experience using Git for source control management., • Ability to proficiently write code in Python, Node.js, Bash (shell), PowerShell, or other similar languages., • Experience using Docker within container orchestration platforms such as AWS ECS, EKS, Google Anthos, or others., • Comfortable in a Linux environment., • Understanding of foundational AWS services such as VPCs, EC2, S3, RDS, Auto Scaling Groups, CloudWatch Logs, etc., • In-depth knowledge of security and IAM within AWS, including the management and operation of Security Groups, KMS Keys, VPC NACLs, and SCPs., • Familiar with ETL and big data tool-chains such as those provided by Hadoop/EMR, Glue, Spark, Impala, or similar., • Understanding of relational database systems and how applications interact with them., • 5+ years experience in Amazon Web Services (AWS), AIML services, • Experience in working in an Agile/Scrum-focused organization., • Strong verbal and written communication skills; comfortable with translating technical problems to non-technical audiences., • One or more Associate or Professional-level AWS certificates., • Prior experience within a DevOps, DevSecOps, SRE, or UNIX/Linux Sys-Admin teams.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

We are - At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge - We are seeking a highly skilled Senior DevOps Engineer having experience with Databricks, Terraform and Kubernetes. Additional Information - The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Iselin, NJ is $125k - $135k/year & benefits (see below). Job Description: We are seeking a highly skilled and motivated Senior DevOps Engineer with Financial Industry experience and extensive experience in Databricks, Infrastructure management, Terraform, DevOps, and Azure. The successful candidate will be responsible for designing, implementing, and managing robust cloud solutions that support our business needs. This role requires a deep understanding of cloud architecture, automation, and continuous integration/continuous deployment (CI/CD) practices. Key Responsibilities: • Design and implement scalable and secure cloud infrastructure using Azure services., • Manage and optimize cloud resources to ensure high availability and performance., • Monitor and troubleshoot cloud infrastructure and services., • Develop and manage Databricks environments for data processing and analytics., • Implement ETL pipelines using Databricks and integrate with other data sources., • Optimize Databricks performance and cost., • Write and maintain Terraform scripts to automate infrastructure provisioning., • Implement infrastructure as code (IaC) practices to ensure reproducibility and consistency., • Collaborate with development teams to integrate Terraform into CI/CD pipelines., • Implement and manage CI/CD pipelines for automated deployments and testing., • Use tools like Jenkins, GitHub Actions, or Azure DevOps for continuous integration and continuous deployment., • Ensure security and compliance in DevOps workflows., • Utilize Azure services such as Azure VMs, Azure Kubernetes Service (AKS), Azure SQL Database, Azure Blob Storage, etc., • Implement and manage Azure Networking, including VNETs, VPNs, and ExpressRoute., • Manage Azure Active Directory and role-based access control (RBAC)., • Work closely with cross-functional teams including developers, data scientists, and IT operations., • Document infrastructure designs, configurations, and procedures., • Provide training and support to team members on cloud technologies and best practices. Required Qualifications: • 8+ years of experience in cloud engineering with a focus on Azure., • Proven experience with Databricks and data engineering., • Strong knowledge of Terraform and infrastructure as code principles., • Hands-on experience with DevOps tools and practices., • Experience in containerization and orchestration tools like Docker and Kubernetes., • Proficiency in scripting languages such as Python, PowerShell, or Bash., • Solid understanding of networking concepts and cloud security best practices., • Excellent problem-solving skills and the ability to work in a fast-paced environment. Preferred Qualifications: • Certifications in Azure (e.g., Azure Solutions Architect, Azure DevOps Engineer)., • Familiarity with Big Data technologies and frameworks. We can offer you: • A highly competitive compensation and benefits package, • A multinational organization with 58 offices in 21 countries and the possibility to work abroad, • Laptop and a mobile phone, • 15 days of paid annual leave (plus sick leave and national holidays), • A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region), • Retirement savings plans, • A higher education certification policy, • Extensive training opportunities, focused on skills, substantive knowledge, and personal development, • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses, • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups, • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms, • A flat and approachable organization, • A truly diverse, fun-loving and global work culture SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ___ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

About Neudesic Passion for technology drives us, but it’s innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Profile We are currently seeking a Data & Analytics Senior Consultant to become a member of Neudesic’s National Data and AI Practice.We’re looking for candidates who have been working with data from various platforms. Candidates should have a solid understanding of Data Warehouse architectures and key concepts and working hands-on gathering requirements, assisting with design, data transformation, development, testing and implementation. Delivering solutions for customers in a consultant / contract capacity is a plus as we work in a fast-paced environment. Technically, the ideal candidate has a strong background with the Microsoft BI Stack (SQL, SSIS, SSAS, SSRS) as these have been the foundational tools we’ve used for 15 years. In addition, the candidate should also have some hands-on experience working with the Azure platform and primarily: Microsoft Fabric, Azure Data Warehouse / Synapse, Azure Data Factory, Azure Data Lake, Databricks and Azure Analysis Services. From a business perspective, we look for candidates who can engage our customers to understand requirements and become thought leaders on how we should apply technology solutions to solve business problems. Building effective customer relationships must happen at every level for us to be successful. Qualifications • Bachelor’s or Master’s degree Computer Science, Engineering, Information Systems, Data Science, Analytics, or a related field., • 6 –10 years of overall experience in data and analytics roles., • At least 1 years of hands-on experience with Microsoft Fabric in a client delivery or consulting role., • Proven experience in Azure Data Services including Azure Data Lake, Azure Databricks, Synapse, Data Factory, and Power BI., • Strong client engagement skills with the ability to translate business requirements into technical solutions., • Experience in leading data platform modernization or cloud migration initiatives., • Excellent oral, written and presentation skills. Responsibilities • Working as part of a team, you’ll be responsible for working in various areas of an implementation. We’re looking for candidates who can not only complete the task at hand, but for those who can bring thought leadership and their own past experience to the work as well., • Leverage Neudesic’s Intellectual Property on implementations and become a thought leader on how we can continue to improve our capabilities resulting in efficient and consistent delivery for our customers., • Learn the customer’s business and be proactive about how we can further their success with the solutions we deliver., • Build relationships with your team and the customer to create a healthy work environment., • Lead end-to-end implementation of Microsoft Fabric solutions for enterprise clients., • Design and develop robust data architectures leveraging OneLake, Dataflows Gen2, Lakehouse, and Direct Lake modes., • Integrate Fabric with Azure-native services such as Data Factory, Synapse, and Azure Data Lake Storage., • Work closely with business stakeholders to define KPIs, reporting needs, and analytical use cases., • Guide and mentor junior team members across data modeling, transformation, and visualization., • Ensure best practices in data governance, security, and compliance., • Core Platforms:, • Microsoft Fabric (OneLake, Lakehouse, Dataflows Gen2, Direct Lake, Semantic Models), • Azure Data Factory, Azure Synapse Analytics, Azure Databricks, • Azure Data Lake Storage Gen2, • Power BI (Advanced), • Data Engineering & Development:, • SQL, T-SQL, DAX, Python or PySpark, • Delta Lake, medallion architecture, • CI/CD pipelines (Azure DevOps, GitHub Actions), • Data Governance & Security:, • Microsoft Purview or other governance tools, • Role-based access control and data lineage, • On Premise: SQL Server, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS). Fewer implementations today, but experienced candidates have a solid foundation in the Microsoft BI stack. Technology Plus • Microsoft Certified: Fabric Data Engineer Associate (Highly Preferred), • Microsoft Certified: Azure Data Engineer Associate (DP-203), • Microsoft Certified: Power BI Data Analyst Associate (PL-300), • Microsoft Certified: Azure Solutions Architect Expert (Nice to have), • Databricks Certified Data Engineer Associate/Professional (Nice to have), • Experience with Predictive Analytics, Machine Learning, Artificial Intelligence Neudesic also offers a competitive benefits package that includes: • Medical, Dental, Vision, Life and Disability insurance, • 401(k) Retirement Plan, • Paid Time Off & Paid Sick Leave, • Employee assistance program and other benefits For New Jersey, the expected salary range for this position is between $100,000 and $160,000. The salary range may be different if the successful employee is in a different state. This position is also eligible for performance bonuses. The actual compensation will be determined based on experience and other factors permitted by law. Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team’s management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Phishing Scam Notice Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our ___ page to learn more. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here:

The role involves configuring and customizing MDG workflows, ensuring smooth data governance processes, and seamless integration within the SAP landscape, including S/4HANA and cloud-based solutions, and working in the DevOps framework. Must-have skills for the role: In-depth experience in SAP MDG w

Required Skills: Azure Integration Platform Monitoring & Exception Handling framework design.Azure Infrastructure Services specifications Azure Storage Services (Storage Account, SQL, NoSQL, COSMOS Databases) Azure DevOps, CI/CD and associated toolsets.

We are seeking a highly skilled and experienced DevOps Architect to join our dynamic team.

We are seeking a highly skilled and experienced DevOps Architect to join our dynamic team.

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Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. This DevOps and Cloud Engineer role will work closely with development teams to understand their design/challenges, propose technical solutions, and assist wi

Cloud Engineer - Aem Newark, Nj. Adobe Marketing platform engineer/administrator with experience in CI/CD pipelines (DevOps) and Adobe Marketing Cloud products. The engineer is responsible for architecture, implementation, and day-to-day.

AWS certification, such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer. Experience managing and maintaining AWS infrastructure, including Amazon Redshift clusters, EC2 instances, and other services.

Job Title: AWS Delivery Lead 10+ years of experienced candidates with AWS certification, such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer Experience in managing and maintaining.

Deep understanding of change management and DevOps practices. Stay up to date with industry trends and best practices in DevOps, SRE, and cloud technologies. Strong experience working as a DevOps Engineer or SRE Engineer in a production environment.

Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2024 and certification as a Great Place to Work in 2024 for the fifth consecutive year. Selective Insura

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Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2024 and certification as a Great Place to Work in 2024 for the fifth consecutive year. Selective Insura

Kubernetes Container Platform Support Tech Lead (DevOps).

DevOps pipelines using tools and technologies including Azure DevOps, SonarQube and YAML. Leads the technical evaluation of DevOps solutions, understands existing industry DevOps solutions, and designs any required custom system integrations. Understanding and experience implementing key DevOps conc

Location: Berkeley Heights, NJ or Alpharetta, GA - Hybrid.Citizens and those authorized to work in the U.We are unable to sponsor at this time.Skills and Experience Required: 5+ years' experience in creating and deploying Ansible frameworks and playbooks.

Berkeley Heights, NJ or Alpharetta, GA Duration: Contact Rate - DOE NO third-party Corp to Corp accepted for this job General Summary 5+ years' experience in creating and deploying Ansible frameworks and playbooks.

Azure DevOps Terraform Consultant.

Working Knowledge of Azure DevOps, Azure Cloud. As part of our growing CoE services, the Team Lead will be responsible for leading projects, driving strategic initiatives, and building/maturing CoE services in areas such as Azure Cloud, DevOps, SharePoint, Power Platform, and MS Teams. Cloud, Azure

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Automation and CI/CD: Ensure monitoring, logging, and implement CI/CD automation for data workflows using tools like Azure DevOps.

Working knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable tools. Prior experience within a DevOps, DevSecOps, SRE, or UNIX/Linux Sys-Admin teams.

Prior experience within a DevOps, DevSecOps, SRE, or UNIX/Linux Sys-Admin teams. Working knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable tools.

Working knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable tools. Prior experience within a DevOps, DevSecOps, SRE, or UNIX/Linux Sys-Admin teams.

Software Engineer Job Duties: Develops information systems by designing, developing, and installing software solutions.Determines operational feasibility by evaluating analysis, problem definition, req

Fleetworthy is revolutionizing road safety and fleet management with a command center for safety, compliance, and efficiency.Our connected suite provides real-time insights and control, enabling customers to maximize efficiency, reduce risk, and save money.With technology that unifies safety, compli

Take the next step in your career as our new Netflix Data Analyst to perform responsibilities as a Data Analyst.Work with your team to maintain efficiency and high standards.Deliver outstanding service to customers and colleagues.Perks include competitive pay, flexible scheduling, training opportuni

Job Role: Erp System Implementation Support.This role will support the implementation of a new ERP system across multiple cell therapy facilities in northern New Jersey.The site data lead will immerse themselves within these sites and with global functions to complete data cleansing, build standardi

Working knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable tools. Prior experience within a DevOps, DevSecOps, SRE, or UNIX/Linux Sys-Admin teams.

Summary: The engineer in this position should have a wealth of experience engineering/installing datacenter equipment.The engineer will typically take on the more complex work and pull all aspects of a job together into a cohesive package.This would include the complete engineering of data centers i

Partner with operations teams to maintain Azure DevOps pipelines that automate infrastructure and database deployments.

Manufacturing Systems Engineer II.Those aren't words that are usually associated with a job.But working at Bristol Myers Squibb is anything but usual.Here, uniquely interesting work happens every day, in every department.From optimizing a production line to the latest breakthroughs in cell therapy,