Data Engineer - Real-Time Systems

Job Description

Job Description

Data Engineer - Real-Time Systems

Division : DATUM, Impac Exploration Services

Location : Remote, Oklahoma City (OK), Houston (TX), San Jose (CA)

Type : Full-Time

We're done with the "load it tonight, analyze it tomorrow" paradigm. At DATUM, decisions happen in milliseconds, not morning reports. We need a data engineer who believes streaming is the default, not the exception—someone who gets genuinely frustrated when people suggest "just run it as a nightly job."

Our data doesn't wait for convenient processing windows. It flows from sensors, cameras, and systems that never sleep. Your infrastructure will catch it, process it, and serve insights before traditional pipelines even know it arrived. If you think Kafka is table stakes and real-time inference is the only kind worth doing, we should talk.

What You'll Build

• Streaming pipelines that handle millions of events per second
• Infrastructure for real-time ML inference at the edge and core
• Systems that treat historical data as streaming replay, not static files
• Data architectures that scale
• Fault-tolerant pipelines that keep flowing when hardware fails

Your Philosophy

Technical Reality

Core streaming stack :

What you won't use :

You're Our Person If

Especially If

Why This Matters

Your pipelines will power :

This isn't building dashboards for quarterly reviews. This is infrastructure for decisions that can't wait.

Growth Path

Today : Building streaming pipelines that embarrass traditional ETL Six months : Architecting systems that make cloud vendors nervous. One year : Publishing approaches that redefine industrial data processing.

When Databricks or Confluent tries to hire you, it'll be because you built something better than what they're selling.

Reality Check

You'll fight against decades of batch processing mindset. You'll optimize systems down to microseconds. You'll build infrastructure in places with challenging connectivity. You'll explain why "real-time" isn't just a buzzword.

But you'll also enable genuinely new capabilities. You'll prove that industrial systems can be as responsive as trading platforms. You'll build the foundation for AI that reacts as fast as physics demands.

Ready to Stream?

Show us streaming systems you've built that others said were impossible. Tell us why you believe batch processing is (mostly) dead. Share your vision for data infrastructure unchained from cloud providers.

We're looking for someone who sees "process nightly" and thinks "why wait?"