Data Engineer

Argentina

Applications have closed

Dialpad

Dialpad Ai is built to foster collaboration, boost sales, and provide better customer experiences. Connect your team in one AI-powered app. Try it for free!

View company page

*ONLY RESUMES IN THE ENGLISH LANGUAGE WILL BE CONSIDERED*

As the only truly unified cloud communications platform that integrates both UCaaS and CCaaS (contact center), Dialpad is on a mission to prove that employees don’t need to be in the office, stuck at a desk, or wearing pants to be 110% effective at their job. Our patented Voice Intelligence technology is embedded in every call to transcribe conversations, capture action items, provide coaching, analyze sentiment, and more—in real time.

Who we are

At Dialpad, work isn’t a place you go, it's a thing you do. And we don’t just build products for everywhere workers—we are everywhere workers. With offices in the Bay Area, Austin, Raleigh, Vancouver, Waterloo, Tokyo, London, Sydney, and Bangalore, along with remote workers around the world, we are dedicated to building a diverse workforce, where each individual is welcomed and valued for their personhood and contribution.

With a $1.2 billion valuation and over $250 million in funding from Google Ventures, Andreessen Horowitz, OMERS Growth Equity, ICONIQ Capital, Felicis Ventures, Work-Bench, Scale Ventures, and other top VCs, Dialpad attracts top talent from leading tech companies, and every member of our team plays an essential role in creating dynamic products that enable workers to collaborate and be productive from anywhere.

The team

Our Data team gathers insights from oodles of data using their innate curiosity and technical prowess—informing future products and helping our customers. You’ll work with a variety of teams across the company to provide counsel and recommendations on how to best drive forward global initiatives.

What you will achieve

In your first 30 days: 

  • Understand the data landscape at Dialpad.
  • Partner primarily with Product, Engineering and Business Technology teams to define data engineering requirements. Support other business areas as needed.
  • Build your first Pull Request and have it deployed to production.
  • Learn about the technology that powers Dialpad.
  • Have a good understanding of Dialpad’s business.

In your first 60 days: 

  • Design data schemas and structure for datasets.  Validate and reconcile data from multiple sources to build complete datasets to be consumed by applications or used for analysis.
  • Become a valued, proactive thought partner that articulates opportunity areas and next steps in partnership with the business partners you support.
  • Create and maintain data pipelines that power up business and analytics processes that enable stakeholders to make data-driven decisions across the organization. 
  • Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media.

By 90 days: 

  • Be well versed in Dialpad’s core data sets.
  • Understand the business, key drivers, and be able to articulate a data engineering strategy to help the business do better.
  • Have a vision for how to evolve data engineering practices.
  • Deliver value in a regular cadence.
  • Get comfortable in your daily work within your team.

Who you are

- You love data and you love answering the hard questions that cannot be solved in a spreadsheet.  While others may wait for problems to be solved...you are the one that solves them

- Hard skills (they will be tested):

  • You have experience working with Python and Pandas.
  • You use SQL on a daily basis at your current job and are able to write highly optimized queries.
  • You have experience using version control systems (e.g Git)
  • You understand data warehouse design, development, and best practices
  • You are familiar with distributed computing and data modeling.
  • Working experience with Airflow is a big plus.
  • Familiarity with Google Cloud Platform (e.g. GCS and BigQuery) is a plus.
  • Working experience with Dimensional Modeling is a plus.

- You believe that data accuracy is absolutely critical

- You have extremely strong written and verbal communication skills and ability to build strong relationships and influence stakeholders

- You are experienced leading cross-functional projects that depend on the contributions of others in a variety of disciplines

- BA/BS in a technical field or equivalent work experience

- Fluency in English is required

Benefits

Culture

We’ve been named a Top Workplace seven times because we truly live and breathe our culture. In alignment with one of our core values, “Skill & Will,” we strive to bring on only the most passionate and talented people to our team. Collectively, Dialers work together to solve problems that help the everyday worker. We foster a collaborative environment where people are elevated, wins are celebrated, and development is encouraged. 

Compensation and Equity

Teamwork makes the dream work. Recognizing that our talented and committed team members drive our success, Dialpad offers competitive salaries in addition to stock options because each Dialer participates in our success.

Wellness

We offer a monthly stipend to help cover your gym membership costs and offer a variety of wellness events to attend. Who wants to join a fitness class, a zen session, or a cooking class? That and more are available to all Dialpad employees!

Equity, Balance, and Belonging

At Dialpad, we value the humanity that makes each of us unique. We strive to ensure everyone is supported equitably, and Dialers are free to bring their full selves to work each day, and celebrate others doing the same. We champion the intersectionality that exists between gender identity, ethnicity, age, disability status, and the many other aspects of our greater humanity.

Flexible Work Accommodations  

These days, it’s business as unusual. That’s why we offer a monthly stipend to help cover your cell phone and home internet. We also cover costs for home office equipment and encourage employees to take advantage of our generous time off and vacation policy. 

Dialpad is an equal opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow BigQuery Data pipelines Engineering GCP Git Google Cloud Pandas Pipelines Python SQL

Perks/benefits: Cell phone stipend Competitive pay Equity Fitness / gym Flex hours Flex vacation Gear Home office stipend Startup environment Team events Wellness

Region: South America
Country: Argentina
Job stats:  8  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.