Senior Data Engineer
- USD 87,000 to 161,300 per year
- Remote, United States
- Senior
- Posted today
or apply from Claude / ChatGPT / Muse
Senior data engineering role building and running cloud pipelines in AWS with Snowflake and Teradata, feeding reports and advanced analytics.
About the role
Ownership covers ingestion, transformation, validation and orchestration of data, plus real-time pipelines. The role also guides other data engineers and works with DevSecOps during continuous integration and deployment.
At a glance
- Pay
- USD 87,000 to 161,300 per year
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- AWS, Snowflake, Teradata, Python, SQL
- Posted
- 29 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Develop and support existing ETL processes in AWS built on Snowflake and Teradata
- Design and run complex data management steps for staging, ingestion, preparation, provisioning and destruction
- Build and maintain real-time processing applications and pipelines
- Guide other data engineers on design, testing, documentation and operation of large high-volume data structures
- Improve data reliability, efficiency and quality, and automate tasks where data shows the chance
What they look for
- Experience with big data and data processing, including data manipulation and mining
- Hands-on work in a production AWS cloud environment
- Python and SQL, with knowledge of Microsoft SQL Server
- Ability to diagnose system issues, run data validation and do quality assurance testing
Nice to have
- Experience with Control-M scheduling
Benefits
- Competitive pay and health insurance
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 m3f5drlkydQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Senior Data Engineer as a remote role for candidates in the United States.
What does this job pay?
The posting states USD 87,000 to 161,300 per year.
What experience is needed?
It is a senior role. The posting asks for: experience with big data and data processing, including data manipulation and mining; hands-on work in a production AWS cloud environment; python and SQL, with knowledge of Microsoft SQL Server. Skills it names include AWS, Snowflake, Teradata, Python.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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