Predictive Sales AI
Data Engineer Chicago IL
Predictive Sales AI, Chicago, Illinois, United States, 60290
Full Time
position in Chicago, ILposted 2/15/2024What do incubators and Predictive Sales AI (PSAI) 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 worlds – 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 using data today, then please read on.ResponsibilitiesBeyond working with state of the art technology, you will have many different fantastic projects to work on as a Data Engineer at PSAI. Here are just a few different responsibilities you can expect off the bat: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.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.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.Planning query efficient data store schemas with respect to the data requirements of our internal data warehouse.Communicate with data scientists and other software engineers to build proper data pipelines for efficient and cost-effective querying.Develop, construct, test, and maintain architectures with the help and feedback of software engineers.Determine and implement proper data schemas that align with PSAI's and Spectrum’s client’s business objectives.Recommend and implement ways to optimize data reliability, efficiency, and quality.Consult and suggest different technologies for our team to test and utilize together.Incorporate the business objectives of key stakeholders in the architecture of our data warehouse.Research new and interesting data acquisition opportunities.Some Characteristics That Define YouWe understand that as a Data Engineer for PSAI, 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:Self-Starter:
Building a data warehouse is no simple task. You will need to come in with a self-starter attitude to not only make this data engineering role what you want it to be, but make a stellar and efficient data warehouse while you’re at it.Analytical:
In order to solve problems and build innovative new digital marketing campaigns, it is essential that you know how to take an idea and analyze it from all of its angles.Developer:
In the ever-changing world of artificial intelligence, it’s not enough just to build models. You bring to the table an eye for data patterns along with a knack for relational database engineering.Patient:
As a data engineer, you know that you work with extremely large data sets on a daily basis. As such, we are looking for someone who is not only meticulous but patient enough to sit and sift through that data in a thorough way.Creative:
Beyond just analyzing data sets, you are an explorer and a puzzle solver. Pulling insights out of your data and understanding how those insights can better shape our tools is something that you live to do.Student:
More so than most industries, the field of data science is always changing and evolving. As such, you are always looking to learn new things and gain new skills.Required Skills and ExperienceOn 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 PSAI. Here are a few of those required skills and experience that you will come in with as a Data Engineer on our team:A bachelor’s degree/pursuing a bachelor’s degree in computer science, mathematics, statistics, information systems, or a related field.Experience with statistical modeling.1-3 years working experience with Python and/or SAS languages.1-3 years working experience with SQL databases and database querying languages.1-3 years working experience with C#/.NET.Familiarity with Microsoft Azure.Familiarity with Graph database structures.Experience with both RDBMS and TDMS.Experience with data mining and data cleaning.Experience with data visualization and reporting techniques.Written and verbal expression.As a Data Engineer at PSAI, 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 PSAI family:Retirement planning & company matching.Coworking space access for remote and hybrid work options.Year-round gym memberships.Paid continuing education.Hybrid work from home, meetings a few times a month to strategize new projects.About UsOur mission at PSAI 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.
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position in Chicago, ILposted 2/15/2024What do incubators and Predictive Sales AI (PSAI) 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 worlds – 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 using data today, then please read on.ResponsibilitiesBeyond working with state of the art technology, you will have many different fantastic projects to work on as a Data Engineer at PSAI. Here are just a few different responsibilities you can expect off the bat: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.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.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.Planning query efficient data store schemas with respect to the data requirements of our internal data warehouse.Communicate with data scientists and other software engineers to build proper data pipelines for efficient and cost-effective querying.Develop, construct, test, and maintain architectures with the help and feedback of software engineers.Determine and implement proper data schemas that align with PSAI's and Spectrum’s client’s business objectives.Recommend and implement ways to optimize data reliability, efficiency, and quality.Consult and suggest different technologies for our team to test and utilize together.Incorporate the business objectives of key stakeholders in the architecture of our data warehouse.Research new and interesting data acquisition opportunities.Some Characteristics That Define YouWe understand that as a Data Engineer for PSAI, 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:Self-Starter:
Building a data warehouse is no simple task. You will need to come in with a self-starter attitude to not only make this data engineering role what you want it to be, but make a stellar and efficient data warehouse while you’re at it.Analytical:
In order to solve problems and build innovative new digital marketing campaigns, it is essential that you know how to take an idea and analyze it from all of its angles.Developer:
In the ever-changing world of artificial intelligence, it’s not enough just to build models. You bring to the table an eye for data patterns along with a knack for relational database engineering.Patient:
As a data engineer, you know that you work with extremely large data sets on a daily basis. As such, we are looking for someone who is not only meticulous but patient enough to sit and sift through that data in a thorough way.Creative:
Beyond just analyzing data sets, you are an explorer and a puzzle solver. Pulling insights out of your data and understanding how those insights can better shape our tools is something that you live to do.Student:
More so than most industries, the field of data science is always changing and evolving. As such, you are always looking to learn new things and gain new skills.Required Skills and ExperienceOn 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 PSAI. Here are a few of those required skills and experience that you will come in with as a Data Engineer on our team:A bachelor’s degree/pursuing a bachelor’s degree in computer science, mathematics, statistics, information systems, or a related field.Experience with statistical modeling.1-3 years working experience with Python and/or SAS languages.1-3 years working experience with SQL databases and database querying languages.1-3 years working experience with C#/.NET.Familiarity with Microsoft Azure.Familiarity with Graph database structures.Experience with both RDBMS and TDMS.Experience with data mining and data cleaning.Experience with data visualization and reporting techniques.Written and verbal expression.As a Data Engineer at PSAI, 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 PSAI family:Retirement planning & company matching.Coworking space access for remote and hybrid work options.Year-round gym memberships.Paid continuing education.Hybrid work from home, meetings a few times a month to strategize new projects.About UsOur mission at PSAI 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.
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