Senior Data Engineer, Streaming

The Coca‑Cola Company

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Atlanta, GA
Salary: $152,000–$178,300 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Closes: Nov 7, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k

This role $165k

$116k $226k

below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $126,800–$215,100 — the blue band above. At the midpoint, this role pays about $165k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About The Coca‑Cola Company

The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods

The Coca‑Cola Company currently has 10 open roles on FindRole.

Listed pay typically runs $138,300–$163,250 across 10 roles with salary data.

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View all roles at The Coca‑Cola Company

At a glance

TL;DR · Senior Data Engineer, Streaming

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The Senior Data Engineer - Streaming will join the team to evolve the enterprise data estate from batch-reliant processing to a continuous, event-driven ecosystem. This role focuses on designing, standardizing, and codifying streaming and Kappa Architecture patterns to minimize redundant batch layers. You will build reusable architecture playbooks, architect standardized replay mechanisms, and create metadata-driven frameworks to handle upstream schema drift. Key responsibilities include packaging complex concepts like stateful processing and watermarking into reusable templates for Microsoft Fabric. You must possess deep expertise in Apache Kafka, Spark Streaming, and Scala or PySpark. The role requires proficiency with Delta Lake storage, Avro/JSON schema registries, and KQL Databases. You will solve the technical challenge of providing near-real-time analytics while ensuring end-to-end idempotency and deterministic replay across the data platform.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

Apache Kafka Microsoft Fabric Spark Streaming PySpark Scala Kappa Architecture Delta Lake Azure Event Hubs Kafka Streams Apache Flink KQL Database Avro JSON Stream Analytics Databricks Delta Live

What you'll do

Design and codify enterprise-wide streaming architecture playbooks focusing on Kappa patterns and event-driven processing.
Architect and templatize standardized mechanisms for data replay, backfill, offset resets, and checkpoint management.
Create architectural blueprints and guardrails to manage processing latency for sub-second and near-real-time SLAs.
Package complex stream concepts like stateful processing and watermarking into reusable developer templates.
Build metadata-driven frameworks to handle upstream schema drift without interrupting downstream streaming queries.
Design scalable ingestion patterns for Kafka and Event Hubs into the Microsoft Fabric ecosystem.
Develop dashboards to monitor stream health metrics including data lag, throughput, and backpressure.
Implement strict design patterns to ensure end-to-end idempotency and deterministic replay across all streams.

What we're looking for

8+ years of experience in data platform architecture.
3+ years of experience architecting and operating production-grade Streaming and Kappa Architectures.
4+ years of experience running Spark Streaming and Apache Kafka pipelines.
Proficiency in Spark Structured Streaming, Kafka Streams, or Apache Flink with strong Scala and/or PySpark experience.
Advanced knowledge of Delta Lake storage mechanics, including append-only streaming sinks and checkpointing.
Ability to build developer-facing frameworks, custom connectors, or configuration-driven streaming engines.
Must be currently authorized to work in the United States on a full-time basis.
Confluent Certified Developer or Kafka Administrator certification (preferred).

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