20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You’ll split time between coding dashboards, checking data pipelines, and meeting with users. Mornings often review overnight ETL (extract, transform, load) jobs and system alerts for Amazon Redshift or DynamoDB data issues.
Afternoons go to building or tweaking visualizations, testing on EC2 or the cloud, and reviewing feedback with product owners. Expect periodic tasks like releasing updates, monitoring performance after deployment, and fixing bugs found by users or automated checks.
Common systems are Amazon Redshift for data warehousing, DynamoDB for fast lookups, and EC2 when you need compute servers. You’ll also use AWS CloudFormation to deploy infrastructure and AJAX for interactive front-end calls.
For data prep you might use Alteryx or similar ETL tools. You’ll also use issue trackers, code review tools, and monitoring dashboards to watch performance after release.
Follow your company’s security rules and use AWS features: IAM roles for access control, network isolation for EC2, and encryption at-rest and in-transit for Redshift and DynamoDB. Apply least privilege: give users only the permissions they need.
Also validate input on the front end (AJAX calls), review code for vulnerabilities, and schedule regular audits. Document security steps in your software development process so reviewers and auditors can verify them.
The U.S. Bureau of Labor Statistics (BLS) reports for SOC 15-1252.00 show a median pay of $135,980 per year, with the lowest tenth at $82,460 and the top tenth at $214,670. The BLS is the source of those numbers.
Salaries vary by city, experience, and industry. Targets like senior roles, management, or specialized cloud skills (AWS, Redshift) push you toward the top tenth.
Start with SQL for querying Redshift, basic Python or JavaScript for data handling and AJAX-driven front ends, and one ETL tool such as Alteryx. Learn how to deploy small apps to EC2 and write simple CloudFormation templates.
Build sample dashboards from public datasets, practice debugging and monitoring, and write short documentation for each project. Those artifacts show employers you can design, build, test, and support software.
A dashboard developer focuses on building interactive dashboards and the software around them: UI/UX, front-end AJAX calls, deployments on EC2, and data served from Redshift or DynamoDB. You also handle releases and post-deployment monitoring.
A data analyst spends more time exploring data and producing reports; BI developers may concentrate on data modeling and ETL pipelines. Dashboard developers sit between both: they shape UI and the software engineering needed to deliver and maintain dashboards.
Practical debugging and testing skills matter most. You must trace data from source (DynamoDB or Redshift) through ETL (Alteryx) to the UI, reproduce errors, and fix them reliably. Code review and documenting fixes are part of that work.
If you can reliably build, deploy (CloudFormation, EC2), monitor, and then iterate based on user feedback, you’ll be valuable. Those abilities outweigh knowing every library in theory.