Your role at DynatraceAbout the Role: Dynatrace is seeking a high-impact Telemetry Pipeline Specialist to serve as the business and technical evangelist for the next generation of data-driven Observability. This is a specialist role focused on the intersection of Bindplane, OpenTelemetry (OTel), and Enterprise Data Governance. You will partner with our Global Sales and Customer Success teams to help organizations navigate the complexities of data explosion in hybrid and AI-native environments, ensuring they achieve high-signal observability while maintaining absolute control over their telemetry costs and routing. Domain Expertise & Solution Leadership - Act as a subject matter expert in log management and observability - Stay current with OpenTelemetry, cloud logging, and pipelines - Lead proof of concepts and demonstrate technical value Competitive Strategy & Value Selling - Execute competitive displacement strategies - Build ROI and economic value cases - Position Dynatrace effectively in enterprise environments Technical Solution Guidance - Advise on telemetry pipelines (OpenTelemetry, Fluentd, Logstash) - Support Kubernetes, serverless, and cloud ecosystems - Optimize data routing and analytics strategies Customer Adoption & Growth - Drive platform adoption and usage - Deliver best practices and technical workshops - Improve consumption and customer outcomes Collaboration & Pipeline Development - Build pipeline through channels, events, and outbound - Collaborate cross-functionally with sales, engineering, and marketing - Maintain CRM accuracy and forecasting discipline What will help you succeedQualifications & Requirements: - Experience: 5+ years in sales or presales roles, with at least 3 years focused on log management, telemetry pipelines, or data streaming environments Domain Expertise: - Deep understanding of telemetry routing and edge processing (Bindplane, Fluent Bit, or similar) - Familiarity with cloud-native ecosystems (AWS, Azure, GCP, Kubernetes) and event streaming platforms (Kafka, Kinesis, Pub/Sub) - Sales Execution: Experience supporting complex enterprise sales cycles and influencing both technical and executive stakeholders; Ability to articulate “Data Gravity” and - “Ingest Economics” and translate them into executive-level value (CIO/CFO) - Competitive Knowledge: Familiarity with observability and pipeline competitors such as Splunk, Datadog, Elastic, or Cribl - Enablement: Ability to scale impact through field enablement, play development, and technical evangelism - Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Preferred Skills - Experience with Cribl LogStream or Splunk Heavy Forwarders for displacement strategies. - Familiarity with FinOps principles (matching telemetry spend to business value). - Fluent in Portuguese Why you will love being a Dynatracer - Dynatrace is a leader in unified observability and security. - We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. - Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. - You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically. - Over 50% of the Fortune 100 companies are current customers of Dynatrace. Compensation and RewardsThe base salary range for this role is $128,000 - $160,000. When determining your salary, we consider your experience, skills, education, and work location. Our total compensation package includes unlimited personal time off, an employee stock purchase plan, and a reward system. We also offer medical/dental benefits, and a company matching 401(k) plan for retirement Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.

Data Specialist Locations:New York, NY / Albany, NY Information Technology Full Time Hybrid Job Description: Data Specialist Employment Type: Full-Time Mid-Level Department: Data Science As a Data Specialist for CGS, you will help our government client in processing data using LAW. The ideal candidate will regularly load large volumes of production data, running exports from the database for creating discovery party productions. Downloading files from our file sharing tool JEFS and performing quality control on load and export files to ensure accuracy is vital to this job position. CGS brings motivated, highly skilled, and creative people together to solve the governments most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - Modify load files and perform quality control on loaded data quickly and accurately - Assist with creating and updating document processing procedures as needed - Run multiple load streams simultaneously - Perform native file processing in LAW - Export data from Relativity to create load files for other various platforms as requested by Case Manager - Performs data conversion processing including conversions of various document types - Perform special format data conversions and file manipulation requests - Handle quality control on load files and Relativity data loads and exports - Perform advanced requests such as creating data exports for productions and performing quality control on files and complicated overlays or appends privilege clawbacks and sequestration of documents - Perform quality control to confirm accuracy on loads completed by new Data Specialists - Provide hands-on training to other Data Specialist as needed - Perform basic Relativity searching and global updates to mark and/or tag records as requested to include confirming record counts in Save Searches and Image redactions prior to creating exports for production - Clearly and accurately discusses data inconsistencies found with Project Manager - Assists on calls relating to data load file formats or media encryption software with Case Manager and other IT individuals as requested Qualifications: - Modify load files and perform quality control on loaded data quickly and accurately - Assist with creating and updating document processing procedures as needed - Run multiple load streams simultaneously - Perform native file processing in LAW - Export data from Relativity to create load files for other various platforms as requested by Case Manager - Performs data conversion processing including conversions of various document types - Perform special format data conversions and file manipulation requests - Handle quality control on load files and Relativity data loads and exports - Perform advanced requests such as creating data exports for productions and performing quality control on files and complicated overlays or appends privilege clawbacks and sequestration of documents - Perform quality control to confirm accuracy on loads completed by new Data Specialists - Provide hands-on training to other Data Specialist as needed - Perform basic Relativity searching and global updates to mark and/or tag records as requested to include confirming record counts in Save Searches and Image redactions prior to creating exports for production - Clearly and accurately discusses data inconsistencies found with Project Manager - Assists on calls relating to data load file formats or media encryption software with Case Manager and other IT individuals as requested Our Commitment Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our clients specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, weve been growing our government-contracting portfolio and along the way, weve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS, we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers, mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: - Health - Dental - Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.$61,152 - $82,992 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Title: Data Center Controls Engineer, Global Data Centers Location: United States Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: New York, NY, USA; Sunnyvale, CA, USA. Remote location(s): California, USA; New Jersey, USA; New York, USA. Minimum qualifications: - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related technical field. - 5 years of experience in controls engineering, automation, or systems integration within industrial or mission-critical environments. - Experience in BMS/EPMS architectures, including DDC (Direct Digital Control), PLC (Programmable Logic Controllers), VM (virtual machines), and Supervisory Control and Data Acquisition (SCADA) systems. Preferred qualifications: - Understanding of electrical and mechanical systems to facilitate effective cross-discipline collaboration. - Ability to trace a failure from a software dashboard back to a physical wiring or sensor issue in the field. - Ability to translate complex automation logic into clear instructions for field technicians and electrical contractors. - Ability to focus on "point-to-point" accuracy to ensure 100% data integrity for the facility’s monitoring systems. - Excellent verbal and written communication skills with the ability to navigate a complex matrix organization. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). Google is looking for a Controls or Systems Engineer with a mastery of Building Management Systems (BMS), Electrical Power Monitoring System (EPMS) and Industrial Control Systems (ICS) to execute and deliver the supply of third-party data center projects. As the primary on-site technical authority for automation, you will ensure that the "brains" of the facility—the integration of mechanical, electrical, and cooling systems—are installed and networked to perfection. You will serve as the Lead Technical Point of Contact (POC) for all BMS, EPMS, and PLC-related engineering questions during the construction phase, ensuring that the physical installation of sensors, controllers, and network architecture aligns with the logical design intent, enabling seamless system communication and operational visibility. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $144000 - $209000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities - Act as the definitive resource for the integrators and contractors to resolve ambiguities in sequence of operations (SOO), Intraocular Lenses (IOLs), and network topology diagrams. - Perform periodic site walk-throughs to verify the physical installation of end devices, including sensors, actuators, and meters, and witness on-site commissioning events to ensure SOO compliance with design intent. - Ensure that the field-installed hardware matches the programmed logic and identify discrepancies between design intent and actual field conditions to prevent commissioning delays. - Assist the controls contractor in troubleshooting wiring issues, addressing communication "blind spots," and verifying panel terminations. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Title: Sr. Data Engineer Location: United States time type Full time job requisition id R1124466 Job Description: We’re looking for an Identity Data Engineer who is passionate about data quality, intellectually curious about how real-world identities get resolved, and ready to get deep into the details. You'll work directly with PII-class data at a low level — examining records, interrogating match logic, and developing a genuine understanding of why our matching engines make the decisions they do. Our matching engines link consumer and household identity signals across diverse data sources, combining deterministic logic with increasingly AI-assisted probabilistic resolution. You'll help enhance these engines — improving match rates, reducing false positives, and extending asset coverage. As our AI-augmented matching capabilities grow, so will this role. There is a real long-term track here for an engineer who wants to go deep on identity. What You'll Do Identity Data Engineering - Design, build, and maintain Snowflake-based pipelines that produce and refresh our core consumer and household identity assets on a regular cadence. - Write complex SQL and Python to transform, deduplicate, and enrich identity data at scale — including direct work with PII fields such as names, addresses, emails, and phone numbers. - Investigate data anomalies and quality issues at a record level, tracing match decisions back to source signals and surfacing root causes. - Build and maintain data models that represent consumer and household identity linkage across multiple input sources. Matching Engine Enhancement - Partner with senior engineers and data scientists to enhance our AI-assisted matching engine — contributing to feature design, scoring logic, model evaluation, and threshold tuning. - Implement and test matching algorithm improvements — both AI-driven and rule-based — and measure their real impact on precision, recall, and overall asset quality. - Build evaluation tooling: ground-truth comparisons, match quality dashboards, and regression detection across engine versions. - Help drive the evolution of our matching pipeline toward more intelligent, AI-augmented identity resolution, actively using AI tools as part of your day-to-day engineering workflow. Collaboration & Delivery - Work cross-functionally with Data Science, Product, and downstream engineering teams to translate identity requirements into reliable, scalable solutions. - Participate in code reviews and architectural discussions; apply engineering best practices across the full delivery lifecycle — design, implement, test, and deploy via CI/CD. - Document data models, pipeline logic, and algorithm decisions clearly for both technical and non-technical audiences. - Support QA processes and on-call responsibilities for production identity asset pipelines. - Build automated validation frameworks and quality tracking pipelines that continuously monitor asset health — including data completeness, match consistency, and anomaly detection — and surface results through clear, actionable reporting. What You Bring Required - 4+ years of data engineering or software engineering experience, with a focus on data-intensive systems. - Strong Python skills — you write clean, well-structured code and are comfortable building data processing logic from scratch. - Deep Snowflake fluency: data modeling, complex querying, Streams and Tasks, performance tuning, and preferably Snowpark for Python-native workloads. - Strong SQL fundamentals and comfort working with large, messy, real-world datasets — you know how to interrogate data and know when not to trust it. - Some experience or genuine curiosity around identity matching, deduplication, record linkage, or data quality at scale. - Comfort working with PII-class data responsibly, with awareness of data governance and privacy best practices. - Familiarity with version control (Git), Agile delivery, and CI/CD pipelines. - Comfort applying AI tools in day-to-day engineering work — including prompt engineering, LLM-assisted data processing, and AI-augmented pipeline logic. Nice to Have - Hands-on exposure to matching algorithms — deterministic, probabilistic, or ML/AI-based — and experience evaluating or tuning their performance. - Experience building agentic workflows and working with MCP servers - Some Java experience; comfort with JVM-based tooling is a plus. - Familiarity with consumer or household identity signals: name, address, email, phone, and cross-source linkage. - Cloud experience, preferably AWS; Azure or GCP welcome. - Unix/Bash comfort for scripting and day-to-day environment work. At dentsu, we believe great work happens when we’re connected. Our hybrid way of working combines remote flexibility with regular in-person collaboration to spark ideas and strengthen our teams. Many of our employees who live within commuting distance (90 minutes) from one of our Headquarter or Hub Offices (New York, Chicago, Detroit, Los Angeles) are required to work in the office 2-3 days per week including one Team Day. The minimum number of days may vary by office and role. Dentsu may designate other HQ or Hub offices at any time. Those who do not live near an office may be designated as a remote employee, depending on the role and business needs. Regardless of your work location, we expect you to be flexible to meet the needs of our Company and clients, which may include attendance in an office from time to time. The annual salary range for this position is $94,000 - $152,662. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Benefits available with this position include: - Medical, vision, and dental insurance, - Life insurance, - Short-term and long-term disability insurance, - 401k, - Flexible paid time off, - At least 15 paid holidays per year, - Paid sick and safe leave, and - Paid parental leave. Location: USA - Remote - Maryland Brand: Merkle Time Type: Full time Contract Type: Permanent