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Senior Data Engineer
Confluent Columbus, OH
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$106k-134k (estimate)
Full Time 3 Days Ago
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Confluent is Hiring a Senior Data Engineer Near Columbus, OH

With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.

One Confluent. One team. One Data Streaming Platform.

Data Connects Us.

**About the Role:**

The mission of the Data Science/Data Engineering team at Confluent is to serve as the central nervous system of all things data for the company: we build data and analytics infrastructure, insights, models and tools, to empower data-driven thinking, and optimize every part of the business. This position offers limitless opportunities for an ambitious data engineer to make an immediate and meaningful impact within a hyper growth start-up, and contribute to a highly engaged open source community.

This is a partnership-heavy role. As a member of the Data team, you will enable various functions of the company, i.e. Product, Engineering, Go-to-Market, etc., to be data-driven. As a Data Engineer, you will take on big data challenges in an agile way. You will build data pipelines that enable data scientists, operation teams, and executives to make data accessible to the entire company. You will also build data models to deliver insightful analytics while ensuring the highest standard in data integrity. You are encouraged to think out of the box and play with the latest technologies while exploring their limits. Successful candidates will have strong technical capabilities, a can-do attitude, and are highly collaborative.

**What You Will Do:**

Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms including Data Warehouse and real-time systems

Develop strong subject matter expertise and managing the SLAs for those data pipelines

Set up and improve BI tooling and platforms to help the team create dynamic tools and reporting

Partner with Data Scientists and business partners to develop internal data products to improve operational efficiencies organizationally

**What You Will Bring:**

6 years of experience in a Data Engineering role, with a focus on data warehouse technologies, data pipelines and BI tooling

Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Engineering, or related technical discipline

Expert knowledge of SQL and of relational & cloud database systems and concepts

Strong knowledge of data architectures and data modeling and data infrastructure ecosystem

Experience with enterprise business systems such as Salesforce, Marketo, Zendesk, Clari, Anaplan, etc.

Experience with ETL pipeline tools like Airflow, DBT, and with code version control systems like Git

The ability to communicate cross-functionally, derive requirements and architect shared datasets; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives

The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful

**What Gives You an Edge:**

Experience with Apache Kafka

Knowledge of batch and streaming data architectures

Product mindset to understand business needs, and come up with scalable engineering solutions

**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 $146,400 - $171,990, 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 (https://confluentbenefits.com/) .

Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) 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.

#LI-Remote

Job Summary

JOB TYPE

Full Time

SALARY

$106k-134k (estimate)

POST DATE

06/13/2024

EXPIRATION DATE

06/26/2024

WEBSITE

confluent.io

HEADQUARTERS

RCHO STA MARG, CA

SIZE

1,000 - 3,000

FOUNDED

2014

TYPE

Public

CEO

WILLIAM SCHLEY

REVENUE

$200M - $500M

INDUSTRY

Business Services

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Confluent is a California-based cloud-native platform that provides messaging modernization, SIEM optimization and related solutions for industries such as gaming and fintech.

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The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

03/09/2022: Billings, MT

The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

01/05/2022: Melbourne, FL

Create architecture for real-time, big data applications with minimal maintenance effort.

03/23/2022: Benton Harbor, MI

Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

01/22/2022: Greenville, MS

Provides successful deployment and provisioning of data solutions to production or other required environments.

01/12/2022: Dothan, AL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

Step 3: View the best colleges and universities for Senior Data Engineer.

Butler University
Carroll College
Cooper Union
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Providence College