1

Cdc Replication Jobs (NOW HIRING)

OR

$52.75 - $72.25/hr

Manage Redis Enterprise clusters on Kubernetes with operator-managed lifecycle and replication ... Familiarity with Matillion or similar ETL/CDC tooling and Snowflake data warehouse * Exposure to ...

Software Engineer

San Francisco, CA ยท On-site

$150K - $300K/yr

We make high-volume data replication simple, reliable, and scalable for engineering teams. Our ... Building native change data capture (CDC) connectors to data sources that we do not yet support.

next page

Showing results 1-20

Cdc Replication information

See salary details

$9

$24

$36

How much do cdc replication jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for cdc replication in the United States is $24.84, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $28.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a CDC Replication Specialist, and why are they important?

To thrive as a CDC (Change Data Capture) Replication Specialist, you need expertise in database management, data integration, and a strong understanding of replication concepts, often supported by a degree in computer science or IT. Familiarity with tools like Oracle GoldenGate, SQL Server Replication, AWS DMS, and relevant certifications is typically required. Analytical thinking, attention to detail, and effective problem-solving are essential soft skills in this role. These abilities ensure accurate, real-time data movement across systems, supporting reliable analytics and business operations.

What are some common challenges faced by professionals working in CDC replication roles, and how can they be overcome?

Professionals working in CDC (Change Data Capture) replication roles often face challenges such as ensuring real-time data consistency, handling large volumes of transactions, and minimizing latency between source and target systems. Staying vigilant about network reliability and monitoring for replication lag are key to maintaining smooth operations. Proactively setting up alerting, leveraging robust error-handling techniques, and collaborating closely with database administrators and developers for troubleshooting can significantly help in overcoming these challenges.

What is CDC replication?

CDC replication, or Change Data Capture replication, is a process used to track and capture changes made to data in a database so that those changes can be replicated or synchronized to another system in real time or near real time. This is commonly used in data warehousing, backup, and integration scenarios to ensure data consistency across multiple systems. CDC replication helps organizations maintain up-to-date data across platforms without the need for full data refreshes, improving efficiency and reducing system load.

What is the difference between Cdc Replication vs Data Engineer?

AspectCdc ReplicationData Engineer
Primary RoleImplementing change data capture processes to replicate dataDesigning, building, and maintaining data pipelines and architectures
Required SkillsDatabase management, SQL, data replication toolsProgramming, data modeling, ETL tools
Work EnvironmentDatabase environments, data centers, cloud platformsData warehouses, cloud platforms, big data ecosystems
CertificationsDatabase certifications, cloud certificationsData engineering certifications, cloud certifications

While Cdc Replication focuses on capturing and replicating data changes in databases, Data Engineers design and develop comprehensive data pipelines and architectures. Both roles require strong SQL skills and familiarity with cloud platforms, but Cdc Replication is more specialized in data synchronization, whereas Data Engineers handle broader data processing tasks.

Infographic showing various Cdc Replication job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 71% Full Time, 19% Part Time, 2% Temporary, and 4% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $51,665 per year, or $24.8 per hour.
Senior Scalability Engineer - Streaming & Realtime Systems

Senior Scalability Engineer - Streaming & Realtime Systems

Capital Rx

Richmond, VA โ€ข Remote

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Senior Scalability Engineer - Streaming & Realtime Systems
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
Capital Rx , a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
Judi Health , which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
Judi , the industrys leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Location: Remote
Position Summary:
Join our Scalability team as a Senior Scalability Engineer focused on streaming and real-time systems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, and real-time event processing. Your work will handle systems processing hundreds of thousands to millions of records per batch while maintaining strict ordering guarantees and exactly-once semantics. Working closely with our clients and cross-functional teams, you'll build foundational streaming infrastructure while partnering directly with product teams to implement real-time capabilities that power critical business workflows.
Position Responsibilities:
Own streaming infrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records while maintaining strict ordering and delivery guarantees.
Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling real-time analytics and event-driven workflows across the organization.
Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability.
Partner with product teams: Work directly with teams to design and implement real-time data processing solutions tailored to their business needs, providing technical guidance and hands-on support.
Ensure data reliability: Implement exactly-once processing semantics, dead-letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines.
Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack.
Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning.
Make strong architectural choices through careful evaluation and prior experience with distributed systems.
Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.
Required Qualifications:
10+ years of software engineering experience with demonstrated progression into technical leadership roles.
3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject-matter expert on streaming infrastructure.
Strong expertise in Python (Flask/SQLAlchemy) for production applications.
Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms.
Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms.
Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns.
AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration.
Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases.
Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability.
Collaboration and communication: Strong written and verbal communication skills with ability to work autonomously while driving proactive collaboration in a remote environment.
(Optional) Preferred Qualifications:
Rust development experience or strong interest in learning Rust for high-performance systems.
Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure.
Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms.
Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns.
Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience.
Remote, US Salary Range
$160,000 โ€” $220,000 USD
All employees are responsible for adherence to the Capital Rx Code of Conduct, including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#J-18808-Ljbffr