Data Engineer

Posted 2 Hours Ago
Be an Early Applicant
Austin, TX
Hybrid
1-3 Years Experience
Artificial Intelligence • Big Data • Robotics • Software
Cognite makes data accessible and meaningful for our industrial customers.
The Role
Design, develop, and implement data infrastructure and pipelines to collect, connect, centralize, and curate data. Work on custom extractors using backend technologies like Python, Spark, and Rest APIs. Collaborate with Solution Architects to understand client requirements and define queries with subject matter experts. This is a hybrid role based in Austin, TX.
Summary Generated by Built In

About Cognite

Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.


Learn more about Cognite here

Cognite Product Tour 2024

Cognite Product Tour 2023

Data Contextualization Masterclass 2023


Our values

Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.

Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. 

Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. 




About Cognite and Cogniters

Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms


At Cognite, the Global Delivery team leads software implementation, deployment & adoption for clients, and helps them accelerate their digital transformation efforts with Cognite’s product suite. We consist of people with diverse and high-performance backgrounds, ranging from Management Consulting, to Industry and Software development. We seek to continuously improve how we work with our clients, how we work together as a team, and how we develop as individuals.


Do you see how data can be used, modeled and visualized in new ways to improve decisions in industrial engineering, but you experience that the tools and data availability is insufficient to create impact? If you want to change that, and take part in forming what the future of the industry will look like you should join our Cognite and become a part of the team responsible for delivering Cognite’s cutting edge industry solutions to our customers!


As a Data Engineer, located in Houston or Austin, TX, you will design, develop and implement data infrastructure and best-in-class pipelines that collect, connect, centralize and curate data from various internal and external data sources. You will ensure that architectures support the needs of the business, and recommend ways to improve data reliability, efficiency. You are an experienced engineer with a passion for software development, hands-on in designing, implementing, and delivering features for flagship products.


This is a hybrid role working out of our Austin office so candidates must be local or willing to relocate themselves to Austin.

What You'll Do

  • Partner with Solution Architects to understand client requirements and define queries with subject matter experts
  • Develop custom extractors using backend technologies and languages i.e Python, Spark, Rest APIs
  • Customize existing extractors i.e. database extractor using SQL, event streaming using Kafka and deploy using Docker
  • Create custom data models for data discovery, mapping, and cleansing
  • Collaborate with product development to turn customer needs into potential product offerings
  • Prototype data visualization and dashboards

Who You Are

  • 1+ years of experience in a Data intense role or relevant college course work
  • Experience in Oil &Gas or Manufacturing is a huge plus
  • BS or MS degree in computer science or related field
  • Loves to code, passion for coding, and enjoys sharing that knowledge with others
  • Strong understanding of data analysis or data science
  • Experience working with data technologies, such as: ETL, SQL, Python
  • Ability to work on both internal and external client-facing projects and communicate with key stakeholders
  • Ability to travel onsite to meet with and engage with clients -- we don’t build solutions in isolation.
  • Role based in Houston, TX or (Austin, TX w/ travel to Houston)

A snapshot of our many perks and benefits as a Cogniter

* Competitive Compensation including base plus bonus

* 401(k) with 4% employer matching

* Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents

* Unlimited PTO + flexibility to enjoy it

* 18 Company Holidays including the week between Christmas & New Years

* Paid Parental Leave Program

* Employee Stock Purchase Program (ESPP)

* Employee Referral Program

* Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices

* Join a team of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.

* A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more

* Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries

* Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.

* Paid mobile phone and WiFI

*A pet lover? Get the chance to meet Spot 🐶!


Why choose Cognite? 🏆 🚀

* Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. 

* We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. 

* Cognite Earns 2023 Microsoft Partner of the Year Award; Recognized as a Global Leader in Energy & Resources and Industrials & Manufacturing

* Frost & Sullivan named Cognite a Technology Innovation Leader!

* Built In 2024 Best Places to Work in Austin, TX and Houston, TX

* Cognite Recognized as 2024 Microsoft Energy and Resources Partner of the Year

* Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇



Apply today!

If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team.


We encourage you to follow us on Cognite LinkedIn; we post all our openings there.

Top Skills

Python
Spark
The Company
Austin, TX
700 Employees
Hybrid Workplace
Year Founded: 2016

What We Do

Cognite is a global software company enabling digital transformation of heavy-asset industries globally. Our software products integrate with existing IT and OT infrastructures to liberate a wide variety of industrial data from siloed source systems and make it available for humans and machines to deliver visualizations, analytics and AI at scale.

Why Work With Us

Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.

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