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Federal Consulting Engineer

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Customer Solutions

Washington DC

Job ID: R00383

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Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.


We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.


About the Role:

We are looking for a Consulting Engineer to join our Customer Success team. As a Consulting Engineer, you will help customers extract business value from their real-time data streams.
In this role, you will interact directly with customers, contributing to implementation during any or all phases of the application lifecycle — portfolio assessment, application planning and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption.
To do this, you will provide software, development, and operations expertise that leverages your deep knowledge of best practices in the use of Apache Kafka, the Confluent platform, and complementary systems such as Hadoop, Spark, Storm, relational and NoSQL databases.
Throughout these interactions, you will build strong relationships with your customers and ensure exemplary delivery standards. You will also have the opportunity to build state-of-the-art streaming data infrastructure, in partnership with colleagues who are widely recognized as industry leaders.
In addition, promoting Confluent and our amazing team to a public audience is something we invite all our employees to undertake. This can be in the form of writing blog posts, speaking at meetups and well known industry events about use cases and best practices, or as simple as releasing open-source code.

What You Will Do:

  • Preparing for an upcoming engagement by discussing, with the customer, goals, expectations, and agenda
  • Researching best practices, issues, or components needed for an engagement
  • Delivering on the engagement by presenting onsite or remote workshops for the customer’s architects, and developers
    Producing and delivering a post-engagement report to the customer
  • Developing applications on Confluent Kafka Platform
  • Deploying, augmenting, and upgrading Kafka clusters
  • Building tooling for another team and the wider company
  • Testing performance and functionality of new components developed by Engineering
  • Writing or editing documentation and knowledge base articles
  • Honing your skills, building applications, or trying out new product features


What You Will Bring:

  • Must have an active TS/SCI. Full-Scope Polygraph preferred.
  • Deep experience building and operating in-production Big Data, stream processing, and/or enterprise data integration solutions using Apache Kafka
  • Experience operating Linux (configure, tune, and troubleshoot both RedHat and Debian-based distributions)
  • Experience with Java Virtual Machine (JVM) tuning and troubleshooting
  • Experience with distributed systems (Kafka, Hadoop, Cassandra, etc.)
  • Proficiency in Java
  • Excellent communication skills, with an ability to clearly and concisely explain tricky issues and complex solutions
  • Ability and willingness to travel up to 50% of the time to meet with customers
  • Bachelor-level degree in computer science, engineering, mathematics, or another quantitative field

Come As You Are


At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.



At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location.  This position has an annual estimated salary of $188.700 - $217,000 an annual bonus, and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE.


Click HERE to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.



Global Benefits to Help You Do Your Best Work

Leadership Principles Define How we Act

Our Leadership Principles outline a shared set of expectations for how we think and behave at Confluent. They’re an extension of our company values which we all live each day. You can learn more here.

Confluent is Remote-First

At Confluent, we care about how you work - not where. We encourage you to apply for positions outside of the listed job location or your immediate region.

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