Senior Data Engineer
- USD 130,000 to 175,000 per year
- Remote, United States
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Senior data engineering role on a data services team, building pipelines and dbt models for sports betting and casino products; remote or hybrid.
About the role
Transformed data for stakeholders is the core of the job, from dbt models and Airflow scheduling to mentoring other engineers and advising on hiring.
At a glance
- Pay
- USD 130,000 to 175,000 per year
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- SQL, dbt, Airflow, Python, BigQuery, Looker, Mode
- Posted
- 20 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Build data pipelines with the engineering team and fix problems that come up
- Write dbt models and manage Airflow tasks and schedules
- Talk to business stakeholders, run analyses and present clear recommendations
- Help roll out a data exploration tool across the company
- Mentor colleagues and support hiring, onboarding and development
What they look for
- At least 4 years in analytics or data engineering
- Hands-on with BigQuery, dbt, Airflow, Python and relational databases
- A degree in computer science, statistics, business or a similar field
Nice to have
- Experience with Looker or Mode
- Interest in sports, betting and consumer products
Benefits
- Education and conference reimbursements
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 sspkzftwlcQuestions about this job
Is this a remote job, and where can I work from?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
The posting states USD 130,000 to 175,000 per year.
What experience is needed?
It is a senior role. The posting asks for: at least 4 years in analytics or data engineering; hands-on with BigQuery, dbt, Airflow, Python and relational databases; a degree in computer science, statistics, business or a similar field. Skills it names include SQL, dbt, Airflow, 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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