Senior Data Engineer
- Remote, United States
- Senior
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Senior data engineering role moving legacy SQL Server and SSRS reporting to Redshift and AWS, fully remote.
About the role
Remote with a focus on modernizing the data stack. The team builds pipelines and governed data products that support enterprise reporting and analytics.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- SQL, Amazon Redshift, AWS, Tableau, ETL, SQL Server, SSRS
- Posted
- 29 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Build and maintain ETL pipelines and data integration for reporting and analytics.
- Write and tune complex SQL, stored procedures, and data models on Redshift and SQL Server.
- Migrate legacy SQL Server and SSRS reporting to AWS-based architectures.
- Design cloud data warehouse solutions with Redshift and related AWS services.
- Create governed data models and datasets for Tableau and self-service analytics.
What they look for
- Experience designing and supporting enterprise data integration and reporting solutions.
- Strong SQL skills and experience with Amazon Redshift and Microsoft SQL Server.
- Familiarity with AWS data services and Tableau.
- Knowledge of data security, role-based access, and governance.
- Practice with source control, code review, testing, CI/CD, and automation.
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job r4k3htmcd2Questions about this job
Is this job fully remote, and from where?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a senior role. The posting asks for: experience designing and supporting enterprise data integration and reporting solutions; strong SQL skills and experience with Amazon Redshift and Microsoft SQL Server; familiarity with AWS data services and Tableau. Skills it names include SQL, Amazon Redshift, AWS, Tableau.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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