EmpowerHiring

Lead Data Engineer

  • Remote, worldwide
  • Lead
  • Posted 5 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Lead data engineering role building real-time streaming pipelines and enterprise data platforms, with technical direction over complex data initiatives.

About the role

Fits an engineer who can work with little supervision, make technical calls and guide others through hard data problems. The work covers event-driven pipelines, governance and platform performance across distributed systems.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Lead
Skills
Python, Java, Go, Scala, Kafka, Apache Flink, Spark Streaming, Debezium
Visa
No sponsorship
Posted
30 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Lead the design and build of data pipelines, ingestion frameworks and real-time streaming
  • Build and tune Kafka producers and consumers in Python, Java, Go or Scala for sub-second latency
  • Handle schema evolution with Confluent Schema Registry and Avro, Protobuf or JSON Schema, with delivery guarantees and idempotency
  • Add automated code generation, validation agents and LLM orchestration with LangGraph, AutoGen or CrewAI for schema drift and event routing

What they look for

  • Six to eight or more years of data engineering experience in enterprise settings
  • Technical leadership on data platform work
  • Hands-on streaming and Kafka experience
  • Ability to work independently and guide other engineers

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 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.

ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
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.

Prompt
Apply to Keywordise job 3hxoj2mxjk
How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Lead Data Engineer as a remote role open to candidates worldwide.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a lead role. The posting asks for: six to eight or more years of data engineering experience in enterprise settings; technical leadership on data platform work; hands-on streaming and Kafka experience. Skills it names include Python, Java, Go, Scala.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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