If you’re a data engineer looking for your next career adventure, you’ve come to the right place. It's a place where you can put your talents to work while diversifying your skillsets and expanding your horizons. It's a place where you'll work side-by-side with experts who enjoy solving difficult problems as much as you do. And it's a place where you'll find the opportunities, the guidance, and the support you need to take your career to the next level.
Logic20/20 is a West Coast–based business and technology consulting firm dedicated to solving complex problems through the power of data. Because we're a consulting shop with a diverse clientele, our team members have the chance to take on new challenges on a regular basis, working on new and exciting projects with different teams, different technology stacks, and different types of data.
At Logic20/20, data engineers work closely with clients to understand their business needs and to design and develop scalable data processing infrastructures. Along the way, they enjoy a supportive work environment, plentiful learning opportunities, and interesting projects where they work with cool data and the latest technologies. And they have a lot of fun while they’re at it.
Our Global Delivery model and Connected Hubs keep you plugged into our culture and projects across geographies.
“In much the same way that putting good data into a process can produce positive results, the hard work our team puts in pays off.”
At Logic20/20, our teams are using data science in the utilities industry to scale capabilities, tackle more use cases, and handle higher volumes of data.
In this short video from Director and Practice Lead Adam Cornille and lead data scientist Jafar Taghiyar, you'll learn more about how they've built teams, machine learning models, and infrastructure within the utilities sector. They'll discuss where data science has the most impact, real-world use cases, and how to structure data science teams to appropriately scale your capabilities.
Come be a part of this team.
“I love that Logic20/20 provides the opportunity to work with smart, dynamic people, and that we deliver innovative digital experience solutions to the marketplace.”
Cool Data and Leading-Edge Tech
Our data engineers work with AI, ML, computer vision data sets, and other advanced data types and technologies to help clients make data-driven decisions.
Our work spans distinct verticals across diverse industries. You'll have the opportunity to contribute to projects that matter, using the latest technologies to deliver great results. See a featured project or more past work.
Career Management Program
We offer every consultant ample career training, career management, and mentorship, helping them define and achieve professional development goals. We believe that interacting with peers, colleagues, mentors, and mentees is one of the best ways to grow.
We hire individuals who aspire to grow, are highly intelligent and driven, and who work together to create an environment of trust, respect, teaming, and integrity. We also have a wide range of consultant committees and clubs.
Driven by Values
We strive to be one of the best companies to work for and to work with. Every aspect of our work is driven by our three core values: Drive toward Excellence, Act with Integrity, and Foster a Culture of We.
Open Door Policy
Our leaders have open door policies and are eager to know and learn from our consultants. Input of every kind is heard, valued, and put to good use to create our culture of investment and improvement. This has translated seamlessly to the digital world.
2021 100 Best Companies to Work For
Seattle Business Magazine recognized Logic20/20 for the 6th year in a row in the Large Company category.
This award recognizes businesses that are setting the standards for leadership, benefits, work environment, happiest employees, and more.
Learn how we helped a client bring together data from 100+ unconnected sources to create a cohesive portal for accessing actionable business information.
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We're hiring and would love to talk to you.