Careers

Learn more about Starschema openings.

Values

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Innovation

We live on the cutting edge of technology.

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Creative Work environment

Creative Work environment with employee autonomy to make decisions. We're friendly, approachable and fun.

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Delivery approach

We deliver quality products, services and experiences — on time.

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Ownership

We take responsiblity for our work and personal actions.

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Expertise

We're experts and actively seek out knowledge and understanding.

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Work autonomy

We're empowered to deploy our knowledge, expertise and know how to solve customer problems.

Learning & Inspiration

Fanni Rakosi -

Fanni Rakosi

Starschema saw the potential in me, and now I’m a Go Developer.

Kristof Csefalvay -

Kristof Csefalvay

I’m encouraged to work on my academic publications in Machine Learning and Data Science.

Ivett Kovacs -

Ivett Kovacs

I started learning Tableau here, now I’m a Tableau Zen Master and Iron Viz Judge.

Marton Berta -

Marton Berta

Starschema gave me the opportunity and support to become an expert in data replication.

Challenges

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Communicating complex insights in simple ways

Important insights often go uncommunicated due to poor data communication methods. As a member of our data science and data visualization teams you’ll use the latest scientific methods and data visualization techniques to effect change in client organizations. You’ll work with and learn from experts and develop advanced skills that deliver more value and let your creativity shine.

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Tackling the challenges of the world’s biggest companies

Ever wonder what challenges leading innovative companies like Facebook, Apple or Netflix face? At Starschema you’ll have the opportunity to work as part of a world class team with cutting edge technologies on innovative projects that change organizations and affect immense numbers of people. Truly this is work that creates solutions to businesses toughest data challenges.

NYC Tableau Hackathon

Helping organization become data-driven

Every organization relies on data but few have truly made the jump to become a data-driven organization. We help organizations create a data-driven culture and adopt data into their very core. Your contribution to this process is integral as our clients trust your expertise and skill-set to help them along this journey. You get to be part of a team that is helping companies make one of most important strategic changes in their history.

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Creating sustainable and scalable data pipelines

There is a limitless number of data sources today that an organization can use. However, in order for the data to reach the data team so insights and value can be discovered and acted on, proper infrastructure has to be set up. This is the foundation of any data-driven organization and as part of the data engineering team, you will help design, develop and configure sustainable and scalable data pipelines that deliver the right data to the right at the right times so maximum value can be realized.

Blogs

10 Tips for Tableau Dashboard Collaboration

Learn basic and extension-enabled Tableau techniques to streamline team communication and collaborate more effectively on dashboard content.

The Top 5 Jenkins Plugins You Should Have in 2021

Learn about the five essential Jenkins plugins that will help you boost productivity and deliver better-quality results.

Enabling Scalable Machine Learning in Snowflake using SQL, Python and Bodo

Most database engines have begun to supplement their SQL capabilities by offering Python query support to allow their more data science inclined users to embed advanced statistics or machine learning code into query pipelines or data visualization tools like Tableau. Snowflake has been bucking that trend — until now.

What’s New in Tableau 2021.1: Snowflake Geospatial Support with Map Layers
Use map layers and leverage Snowflake geospatial support in Tableau 2021.1 to create advanced location-based analytics with multiple object types.

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