Job Description & Details
The demand for cloud‑powered analytics is exploding as organizations race to turn data into insight. In the public sector, modernizing legacy reporting tools with Tableau and AWS can unlock faster decision‑making for citizens. This Data Visualization & Cloud Analytics Engineer role offers a chance to lead that transformation for Nevada’s DMV while working remotely.
Job Summary
We are looking for a seasoned engineer to administer Tableau Server, craft interactive dashboards, and build AWS‑based data marts. The role blends data visualization expertise with cloud data engineering to modernize the DMV’s reporting ecosystem, ensuring high performance, security, and governance.
Top 3 Critical Skills Table
| Skill | Why it's critical | Mastery Level |
|---|---|---|
| Tableau Server Administration | Guarantees reliable, secure access to dashboards for all agency users | Senior |
| AWS Data Engineering (Glue, Redshift, S3) | Powers scalable data marts and analytics pipelines in the cloud | Senior |
| ETL/ELT Pipeline Development | Efficiently moves and transforms data for timely reporting | Senior |
Interview Preparation
- How do you optimize Tableau Server performance for a large user base?
What the interviewer is looking for: Understanding of caching, extracts, load balancing, hardware sizing, and monitoring tools. - Explain the process of building an AWS data mart using S3, Redshift, and Glue.
What the interviewer is looking for: Ability to design data ingestion, schema creation, partitioning, and cost‑effective storage strategies. - Describe how you would migrate an SSIS package to an AWS Glue workflow.
What the interviewer is looking for: Knowledge of translating control flow, handling connections, and preserving data lineage. - What data governance practices would you implement when handling DMV citizen data?
What the interviewer is looking for: Familiarity with IAM policies, encryption at rest/in‑transit, audit logging, and compliance frameworks. - Can you walk through an end‑to‑end ETL pipeline you built using AWS Glue and DMS?
What the interviewer is looking for: Concrete examples of source extraction, transformation logic, loading into Redshift, and performance tuning.
Resume Optimization
- Tableau Server administration
- Interactive Tableau dashboards
- AWS Glue
- Amazon Redshift
- Amazon S3
- ETL/ELT pipeline development
- Data modeling & SQL
- SSIS/SSAS/SSRS migration
- Data governance & compliance
- Government/public sector analytics
Application Strategy
When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attaches your updated resume, and clearly highlights your top relevant skills. Make sure to mention related skills you possess, such as Tableau Server administration, AWS Glue data pipelines, and enterprise data modeling, and reference specific projects where you delivered similar solutions.
Career Roadmap
| Current Role | Typical Experience | Core Focus | Next Position |
|---|---|---|---|
| Data Visualization & Cloud Analytics Engineer | 3–5 years with Tableau & AWS | Build dashboards & data pipelines | Senior Cloud Analytics Engineer |
| Senior Cloud Analytics Engineer | 5–8 years, end‑to‑end solutions | Lead architecture, mentor junior staff | Analytics Architecture Lead |
| Analytics Architecture Lead | 8+ years, strategy & governance | Define data strategy, oversee migrations | Director of Data Analytics |
| Director of Data Analytics | 10+ years, executive leadership | Set vision, manage portfolio | VP of Data & Innovation |