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Data Engineer
Confluent Phoenix, AZ
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$116k-143k (estimate)
Full Time 1 Week Ago
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Confluent is Hiring a Data Engineer Near Phoenix, AZ

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.

Developing 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.

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

**What You Will Bring:**

3 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

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 $121,900 - $143,190, 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

$116k-143k (estimate)

POST DATE

06/12/2024

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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About Confluent

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

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If you are interested in becoming a 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 Data Engineer for your reference.

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

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

03/12/2022: Dothan, AL

A data engineer prepares data for analytical or operational uses.

03/03/2022: Boulder, CO

Data engineers simplify complex data structure and prevent the reduplication of data.

03/28/2022: New Suffolk, NY

Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

04/13/2022: Harrisburg, PA

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 Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

02/26/2022: Newark, NJ

A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

02/10/2022: Winston Salem, NC

Consider pursuing additional professional engineering or big data certifications.

03/09/2022: Saginaw, MI

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

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