Senior Data Engineering Consultant – Datadog, Splunk, Dynatrace

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Help make our enterprise dashboarding suite the go to source for real time system health by building high quality dashboards that turn complex telemetry into clear, actionable insights for engineering, product, and leadership.

Primary Responsibilities:

• Design, develop, and maintain dashboards in Grafana using Datadog, Splunk, Dynatrace and other monitoring/observability data sources to visualize application performance, stability, reliability, and customer experience
• Write performant queries (e.g., SQL, PromQL, Datadog metric queries, Splunk SPL, Dynatrace DQL, etc.) and tune data sources, transformations, and panels for accuracy and readability
• Translate business requirements and use cases into instrumentation plans, KPIs, SLIs/SLOs, alerts, and executive ready visualizations
• Partner with TPMs, SREs, and application teams to drive data quality, resolve gaps (events/metrics/logs/traces), and standardize dashboard patterns across properties
• Establish and enforce dashboard quality: naming conventions, versioning, usage tooltips, banner notices, and documentation/runbooks
• Automate recurring tasks (e.g., dashboard provisioning, query reuse, tagging) and contribute reusable components/patterns to the M4 library
• Use enterprise-approved AI tools to streamline workflows, automate tasks and drive continuous improvement
• Design, develop and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
• Evaluate emerging trends to inform solution design and strategic innovation
• Monitor adoption and outcomes: usage analytics, stakeholder feedback, and measurable improvements to decision speed, incident response, and customer abrasion
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 10+ years of experience in similar skill
• Experience using, or a solid desire to learn, enterprise AI tools to improve speed and quality of delivery
• Experience with JavaScript and HTML for building interactive graphics panels in dashboards
• Proven experience delivering production Grafana dashboards using at least two of the following: Datadog, Splunk, Dynatrace, or equivalent experience in other Business Intelligence reporting applications
• Fluency in query languages (SQL, PromQL, SPL, Datadog metric queries, Dynatrace DQL) and performance tuning (filters, time windows, aggregations)
• Proven ability to turn business requirements into clear KPIs/SLIs and decision oriented visualizations; solid grounding in observability fundamentals (metrics/logs/traces)
• Demonstrated rigor in data quality: validation, cross source comparisons, and transparent notices when data is incomplete or inaccurate
• Proven effective collaborator and communicator, able to gather requirements, document patterns, and present insights to technical and non technical audiences

Preferred Qualifications:

• Full time graduation degree
• Experience with Datadog RUM/session replays and customer experience dashboards
• Healthcare or consumer digital experience; familiarity with Optum/UHC ecosystems
• Demonstrated experience designing and deploying AI enabled solutions to solve complex business problems, with a solid understanding of responsible AI practices including data privacy, security, transparency, and governance
• Knowledge of OpenTelemetry/trace modeling; tagging standards across services and environments
• Knowledge of Automation/scripting (e.g., Python, SQL) and CI/CD for dashboard assets
• Familiarity with LLM/Agent Observability and Eval
• SRE/observability background in large, multi team environments

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.