This role combines traditional systems administration with modern DevOps practices, leveraging containerization technologies, cloud platforms (AWS & Azure), and……
A Senior Data Engineer who can lead the design and implementation of our next-generation Data Lakehouse. Manage and monitor end-to-end data lifecycles using……
Mentor team members and provide technical leadership on data engineering best practices. This role requires someone who can move beyond simply building……
Translating technical requirements to solutions using code. Data flow from source to target to dimension to BI tool. How to model relational data.…
Strong experience with data integration, ETL/ELT development, and large-scale data processing. Advanced knowledge of data modeling, metadata management, and……
Develop data science solutions based on tools and cloud computing infrastructure. *Experience and/or willing to research, develop, implement, and fine-tuning……
Contribute to technical documentation, system design artifacts, and operational procedures. Bachelor’s degree in Computer Science, Software Engineering,……
You'll collaborate with world-class talent across data science, engineering, product, and healthcare domains, backed by the reach and stability of Optum and……
Strong understanding of distributed systems, async processing, event-driven architectures, and scalable backend design. 401k with 3% company match.…
You'll be responsible for enhancing our existing data architecture to further standardize metrics and definitions, developing end-to-end data engineering……
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for……
Within our Data and Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage.…
Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field. Master's degree in Electrical Engineering, Mechanical Engineering, or a……
Collects and analyzes information to identify customer's technical needs, suggest solutions and develop implementation and integration plans (e.g., technical……
Bachelor's degree in Computer Science or a related field. Bachelor's degree or higher in Database Management, Information Technology, Computer Science, or a……
Lead a team of data engineers by providing technical direction, code reviews, and design guidance. Build solution designs and technical designs for data……
Experience with BI and visualization tools such as Tableau, Power BI, or Superset and strong communication skills and ability to collaborate across engineering……
It primarily involves collaborating with data engineers to analyze, architect, design, and develop data warehouse and business analytics solutions.…
(3) Acting as a strategic data subject matter expert, stewarding integrated data lab environments in Snowflake and SQL Server, and leading unified data……
Ability to effectively communicate concepts and strategies to technical and non-technical audiences. Explore new tools, frameworks, and technologies to keep our……
Design, develop, and maintain robust, scalable high-performance Data Pipelines using PySpark. Stay updated with the latest advancements in data engineering and……
By combining expertise in data ingestion, transformation, and integration with knowledge of AI data needs, you will play a critical part in enabling AI agents……
AWS Solution Design & Implementation: Design, develop, and deploy scalable and cost-effective data solutions on AWS, leveraging services such as S3 (for data……
BS/MS/PhD in Computer Science or a related field. Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data……
Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.…
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Job Profile and Summary Mid-level support engineer that will provide primarily support of Big data operations in AWS for Market Regulation. Supported platforms include AWS Services, UNIX, Windows, SQL, Postgres, Batch Scheduling, etc… Additionally should work under minimal supervision to maintain enterprise Linux infrastructure across on-premises data centers and cloud environments. This role combines traditional systems administration with modern DevOps practices, leveraging containerization technologies, cloud platforms (AWS & Azure), and AI-powered tools to ensure FINRA Infrastructure meets defined quality standards while driving operational excellence and innovation. Essential Job Functions: • Big data operations activities for AWS services in support of the processing of market volumes of big data. Work involves monitoring batch processing, data processing execution, SQL status queries, management / remediation of issues, and escalation activities. • Work also includes automation of data monitoring using Python scripting and SQL queries. Usage of central batch processing tools like JAMS or any other equivalent is valuable to have. Scripting experience is required, and mid-level knowledge of Python and PowerShell is desired. FINRA has a very mature automated deployment pipeline for deploying applications through their development lifecycles. • SQL, Postgres, Oracle, or equivalent database experience and building/running queries is a must. • Review and analyze process and system specifications to ensure delivery requirements are met across hybrid Linux and Windows environments. • Operate cloud infrastructure solutions on AWS (EC2, ECS, Lambda, CloudWatch, IAM) and Azure (Virtual Machines, Container Instances, Monitor, Active Directory) • Ensure the Company's Reliability, Availability and Serviceability (RAS) metrics are sustained and improved through proactive monitoring, automation, and continuous optimization across hybrid environments. • Document test plans as well as create/revise and execute Bash, Python, or other scripting languages for automation and infrastructure-as-code implementations. • Proficiency in Workload Automation Scheduler and ability to Implement and manage batch schedules using software such as JAMS/Broadcom AutoSys • Monitor system performance and resolve scheduling conflicts or failed job as well as implement change management procedures for Job scheduling • Implements and updates monitoring tools for Linux systems, containerized applications, and cloud resources using industry-leading platforms and AI-enhanced observability solutions. • Monitors operating system and cloud infrastructure performance to achieve optimum performance levels, checking system logs, analyzing CPU/memory/IO usage, and using performance monitoring tools to detect and resolve bottlenecks. • Proficiency in Operating System & Software Debugging, experienced-level troubleshooting of Windows Server and/or Linux operating systems, including patching, application deployment, and server hardware maintenance. • Proficiency in CI/CD pipeline tools such as Jenkins and GitLab with good understanding of git branching strategies, deployment pipelines and performances and ability to identify and resolve deployment failures. • Interface with other team members and other teams to ensure technology solutions and staff are aligned with customer expectations and overall technology vision, including DevOps, Security, and Application Development teams. • Lead/Co-lead internal process improvement initiatives focused on automation, containerization, and AI adoption. Provide feedback on processes by offering suggestions. • Participate in periodic Disaster Recovery (DR), Business Continuity Planning (BCP) and Sarbanes Oxley (SOX) testing and reporting, including validation of backup/recovery procedures for Linux systems, containerized applications, and cloud resources. Education/Experience Requirements: • Bachelor’s degree in Computer Science, Information Systems or related discipline with at least five (5) years of related experience, or equivalent training and / or work experience. • Past senior level systems administrator experience in a production environment. • Knowledge of industry leading monitoring and diagnostic tools • Knowledge of at least one operating system and at least one contemporary scripting language. • Knowledge of communication and network technologies. • Exposure to common operational practices like metrics reporting, change management, incident management, problem management and communication • Strong written and verbal technical communication skills. • Demonstrated ability to develop effective working relationships that improved the quality of work products. • Should be well organized, thorough, and able to handle competing priorities. • Ability to maintain focus and develop proficiency in new skills rapidly. • Ability to work in a fast paced environment. • Ability to working well under pressure