BI Engineer (Remote)

Job TitleBI Engineer (Remote)LocationRemoteDuration6 monthsPay Rate$75/hr on C2C / 1099 all inclusive (OR) $70/hr on W2Interview TypeVirtualNoteVisa sponsorship is currently not available. Only candidates authorized to work without restrictions will be considered.REMOTE - some travel once per month - PAID BY CLIENT Job Description BI Engineer: Work hand in hand with data engineer Tableau analytics, dashboards and reporting - P1/P2 incident resolution Certs nice to have 5050 admin and dashboard and report management - will work with SQL datastage and SAS and business objects 200 dashboards, and 250 workbooks Key ResponsibilitiesLead the design, development, and governance of enterprise Tableau dashboards and workbooks, including the overall lifecycle management of dashboards and Tableau workbooksDefine and enforce Tableau development standards, naming conventions, performance optimization practices, and reusable template frameworksArchitect scalable data source connections, published data sources, and extract strategies to ensure reliability and performance in the AWS-hosted environmentConduct peer code and design reviews, ensuring quality and consistency across the development teamEvaluate and drive adoption of new Tableau features (e.g., Tableau Pulse, dynamic parameters, Einstein analytics integration) aligned to roadmapOwn L2/L3 support escalations for complex Tableau incidents including performance degradation, data discrepancies, and environment issuesLead larger enhancement delivery end-to-end from requirements through deployment, managing scope, timeline, and stakeholder expectationsDrive reduction of high-volume manual work (dataset refreshes, extract modifications, report distribution) through automation and self-service enablementMaintain and improve the ServiceNow backlog, ensuring accurate classification, prioritization, and throughput reportingProactively communicate backlog status, delivery timelines, and capacity constraints to stakeholders and leadershipSupport CSAT measurement and improvement by owning stakeholder satisfaction within the Tableau delivery domainMentor and coach junior/mid-level BI Engineers, conducting knowledge transfer sessions and supporting skills growthMaintain comprehensive documentation including runbooks, design standards, onboarding guides, and operational playbooksLead workload rationalization efforts - identifying dashboards and workbooks that are candidates for consolidation, retirement, or self-service migration Top Skills & Years of Experience Required QualificationsMinimum Degree Required: Bachelor's Degree in Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field6-12 years of enterprise Tableau development experience, including complex calculated fields, LOD expressions, table calculations, and set actionsAdvanced SQL proficiency (IBM DB2 and/or SQL Server strongly preferred) for data modeling, performance tuning, and custom queriesExperience managing Tableau Server or Tableau Cloud administration - including permissions, extract schedules, subscriptions, and site managementStrong understanding of data modeling principles, star/snowflake schemas, and enterprise data warehouse conceptsProven ability to lead stakeholder engagements, gather requirements, and deliver analytics solutions in regulated environmentsExperience operating within ITSM frameworks (ServiceNow or equivalent) for intake, prioritization, and delivery trackingExcellent communication and presentation skills, with the ability to translate technical concepts for non- technical audiences Preferred QualificationsHealthcare analytics experience supporting health plan (PHP), delivery system (PDS/PMG), clinical quality, or population health domainsHands-on experience in AWS-hosted analytics environments, including Redshift, S3-based data lakes, or AWS Glue integration with TableauTableau Certified Data Analyst or Tableau Certified Architect / Server Administrator certificationFamiliarity with BusinessObjects (BoBJ), SAS, or IBM DataStage as part of a broader enterprise analytics