Our not-so-secret sauce.Award-winning, inclusive, Top Workplace culture doesnt happen overnight. Its a result of hard work by extraordinary people. More than 10,000 of the industrys brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Platform Engineer at MMA.Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 180 offices across North America, we combine the personalized service model of a local consultant with the global resources of the worlds leading professional services firm, Marsh McLennan (NYSE: MMC).A day in the life.As a Senior Data Platform Engineer on the MMA IT Data and Analytics Team, we will count on you to design, monitor, build, and automate data pipelines.As an Azure Subject Matter expert, you will provide guidance and insights, while working closely with Software Engineering teams to leverage shared resources and create efficiencies.In this role, you will:Implement innovative technologies to engineer Platform services, container orchestration technologies, and CI/CD automation.Implement data engineering, ingestion, and curation functions on Azure cloud using Azure native programmingParticipate in provisioning data storage services, transforming data and implementing security requirementsOperationalize large-scale enterprise data solutions and applications using Azure data and analytics servicesLeverage tools provided by Tech (e.g.,infrastructure as code, cloudOps, DevOps, logging / alerting) in delivery ofsolutionsIntegrate, transform, and consolidate data from both structured and unstructured systems into a structure that is suitable for building analytics solutionsCreates Infrastructure as Code (IaC) scripts (Bash, JSON, YAML, Terraform, CloudFormation)Leverage DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable rapid deployment of end user capabilitiesOur future colleague.Wed love to meet you if your professional track record includes these skills:10+ years of Experience with AWS/Azure/GCP/OCI public cloud; development and architecture as well as experience with REST APIs to support integration of infrastructure, cloud and platform as a service technology.3+ years of Experience with specialized data architecture (e.g., data lake, lake house, data fabric, data mesh, optimizing physical layout for access patterns)5+ years of experience in data software development building data platforms for batch or streaming ingestion, processing the data for analytics, and storing the data in various stages2+ years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar)Strong collaborator with experience wearing multiple hats on smaller teams and cross training other team membersTools to secure the data within your purview (e.g., Redgate Catalogue, Masking and Cloning)Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI)Hands-on experience working with Azures PaaS offerings such as Purview, Databricks, Azure Data Lake Storage, Data Factory as well as monitoring of the environmentsSQL Database, Stream Analytics, Storage Services, ADLS and Serverless Architecture ExperienceExperience building and deploying with Linux, UNIX and Windows technologiesThese additional qualifications are a plus, but not required to apply:A commitment to best practices and striving for the elimination of manual operational processes to promote a DevOps oriented software delivery mode.Experience with Azure/ public cloud; development and/or architecture.Experience with REST APIs to support integration of infrastructure, cloud, and platform as a service technology.Valuable benefits.We value and respect the impact our colleagues make every day both inside and outside our organization. Weve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfilment outside of work.Some benefits included in this role are:Generous time off, including personal and volunteeringRemote workTuition reimbursement and professional development opportunitiesCharitable contribution match programsStock purchase opportunitiesTo learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3QpcjmwFollow us on social media to meet our colleagues and see what makes us tick:https://www.instagram.com/lifeatmma/https://www.facebook.com/LifeatMMAhttps://twitter.com/marsh_mmahttps://www.linkedin.com/company/marsh-mclennan-agency/The applicable base salary range for this role is $95,130-$166,425. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other wellbeing programs as well as employee assistance programs.Whoyouare is whoweare.We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.Marsh McLennan and its affiliates are EOEMinority/Female/Disability/Vet/SexualOrientation/Gender Identity employers.#J-18808-Ljbffr<p>by Jobble</p>

About GustoGusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide.Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. Thats why were committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.Gusto is looking for a Senior to Staff Machine Learning Engineer to join our ML/AI Platform and build out our Generative AI infrastructure.About The RoleWere just starting out on this journey with Generative AI and looking to build the founding ML/AI team that will bring the power of AI to Gustos customers. Youll be working alongside a multidisciplinary group of Product Engineers, PMs, and Applied ML data scientists. In this role, youll be responsible for making design decisions around our AI infrastructure, building standard model development and deployment workflows,and design systems that enable rapid iteration with LLMs.Heres what youll do day-to-day:Develop, maintain, and enhance reusable frameworks for ML/AI model development and deployment. Drive best practices in machine learning engineering and MLOpsEstablish standards and infrastructure for on-going monitoring and evaluation of AI applications in productionDevelop and maintain systems that enable rapid iteration and evaluation of LLM prompts and other tuning mechanismsDesign and build reliable, performant, maintainable and secure pipelines that can scale to the needs of our business while reducing costsCollaborate with the AI model builders and application owners to determine business requirements and SLAs for API-enabled servicesHelp design and architect an AI platform that adheres to the principles of Responsible AIBalance researching new technologies with a practical approach to operationalizing research efforts into Gusto productsMaintain relationships with external data and analytics vendorsHeres what we're looking for:At least 4+ years of software engineering experience (Python, Ruby or Java).Demonstrated experience architecting and developing services for machine learning models.Experience with at least one of the major cloud platforms (AWS preferred but not required).Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MLFlow, or similar.[Bonus] Experience deploying and maintaining LLM-based applications in production.Our cash compensation amount for this role is targeted at $152,000-$214,000/year in Denver, Chicago, and Atlanta, $166,000-$234,000/year in Los Angeles and Seattle, and $185,000-$253,000/year for San Francisco and New York.Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately2-3 daysper week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you require assistance in filling out a Gusto job application, please reach out to candidate-accommodations@gusto.com.#J-18808-Ljbffr<p>by Jobble</p>

Data Platform Engineer Jobs in Atlanta, GA

Senior Data Platform Engineer
April 22, 2024

Aiml Data Platform Engineer
April 22, 2024

Senior Data Platform Engineer
April 21, 2024

Senior Data Platform Engineer
April 19, 2024

Aiml Data Platform Engineer
April 19, 2024

Lead Data Platform Engineer United States Remote
April 16, 2024

Aiml Data Platform Engineer
April 16, 2024

Cloud Data Platform Engineer Lead
April 16, 2024

Quick filters

Top companies

Data Platform Engineer Jobs in Atlanta, GA

Senior Data Platform EngineerApril 22, 2024

Aiml Data Platform EngineerApril 22, 2024

Senior Data Platform EngineerApril 21, 2024

Senior Data Platform EngineerApril 19, 2024

Aiml Data Platform EngineerApril 19, 2024

Lead Data Platform Engineer United States RemoteApril 16, 2024

Aiml Data Platform EngineerApril 16, 2024

Cloud Data Platform Engineer LeadApril 16, 2024