Full Time 2021-09-06 FULL_TIME position in 1 N Upper Wacker Dr Chicago IL 60606 US Chicago, IL
What do incubators and Spectrum have in common? Well, they’re great for growth, and even better for stability. As an innovative software development and digital marketing company pioneering the field of artificial intelligence, we can offer our newest Data Engineer the best of both words – a high energy, forward-thinking start-up culture, inside of a well-established, profitable, and stable structure . if you’re interested in getting your hands dirty and inciting change into a larger organization with a vision to change the world uses data today, then please read on.
Responsibilities• Design, build and maintain both new and existing data infrastructures using tools including (but not limited to) Microsoft SQL Server, Azure Tables, Azure Blobs, and Azure Cosmos • Determine the right database system for a provided data set • Drafting database/table schemas • Properly index tables when applicable to ensure query performance • Create data pipelines for transforming new datasets into consistent, reliable data systems that are usable across multiple platforms • Identify optimizations and improvements in existing data pipelines • Create solutions for data validation to ensure data integrity, accuracy, and consistency • Ensure data is readily available for analysis and development usage • Shifting existing big data pipelines • Come up with data validation solutions for both initial data imports as well as results • Audit the automation process to make sure there are no gaps, redundancies, or faults in the data pipeline that would cause damage to data integrity • If necessary, come up with entirely new solutions for these automation processes • Integrating new data sets • Identifying the right database systems/tools for the job, exploring new ones if seen fit • Involvement in drafting technical documentation • Database/Table Schemas • Pipeline mapping • Detailing information on import and update processes • Table Indexing • Develop automation for importing and updating data from the data source • Validation processes •
Beyond working with state of the art technology you will have many different fantastic projects to work on as a Data Engineer at Spectrum. Here are just a few different responsibilities you can expect off the bat:
Some Characteristics That Define You
We understand that as a Data Engineer for Spectrum, you have many different professional goals and personal interests. As such here are just a few different things that typically define our team members on the Data Science team:
Required Skills and Experience
On top of the many intangible skills you bring to the table, there are many skills that can help improve the efficiencies and success of your work at Spectrum. Here are a few of those required skills and experience that you will come in with as a Data Engineer on our team:
As a Data Engineer at Spectrum there are a ton of fantastic perks and benefits that come along with your work. Here are just a few of the benefits you can expect when joining the Spectrum family:
Our mission at Spectrum has always been the same— growth. Whether that be helping our customers find quality new business, developing and challenging our team members, or evolving our products and services with advancements in technology and best practices, we have always been looking towards bettering ourselves for the future. Now as we continue to grow, we find ourselves as not only the nation’s leading digital marketing and software provider for the home services industry, but an innovator and ground-shaker for the world of artificial intelligence as well. From marketing automation software powered by AI, to top notch digital marketing services via those same AI insights, we love what we do and are excited to continue to innovate for the future together.