Big Data Startups in Chicago

DRIVIN is looking to expand our data team as we continue to grow our data platform.  The candidate should have a strong background with Python and SQL.  As a member of the data team, you will architect, plan, build, test, and deliver data solutions utilizing our AWS enterprise data platform. DRIVIN has a polyglot data model using many cutting-edge data platforms including AWS Redshift for Data Warehouse, Elastic Search for location-based searching, and Postgres for transactional data and product delivery. Our delivery framework is comprised of Python/Docker on ECS, Spark on EMR, and Jenkins for CI/CD.

As a Principal Data Engineer, you’ll be responsible for the architecture of a data platform supporting multiple lines of business through internal and external delivery teams. A Principal Engineer understands frameworks and technologies are part of a toolset in order to determine what the best solutions are for any given task. You will enable and work with our other developers to define and lead the technologies in the fields of data ingestion and mapping supporting data science, product delivery, master data management, and Data As A Service stakeholders. Principal Data Engineers are empowered to evaluate our current system and potential new technologies —supporting the long-term stability, scalability, and performant cloud data delivery platform.

SOME OF WHAT YOU WILL BE DOING: Participate in Scrum activities to include daily standups, grooming sessions, work item demonstrations, and review of how changes are documented through the release cycle Working in a fast paced, high demand working environment Development in an agile environment along with performing code reviews Communicating effectively to people from all levels Assisting in long term IT projects Developing working relationships

As a data analyst, you love absorbing and analyzing data, and telling compelling stories through your analyses. You are comfortable with technology systems and learning on the fly, and your first instinct to problem-solving is to roll up your sleeves and dive in.  The problems you deal with will be complicated and ambiguous. Combine and analyze both structured and unstructured data to create meaningful analyses. Extract, segment, summarize, and report on data in clear graphs, charts and other visualizations. Provide strategic recommendations based on the data to improve our business. Lead the day-to-day trending analyses of our KPIs. Enhance our automated alerting and monitoring systems, and forge better visualization frameworks to increase the accessibility of our data. Research and create new KPIs that guide our business.

As a data scientist, you love exploration, modeling, optimization, and telling compelling stories through analyses. You are comfortable with technology systems and learning on the fly, and your first instinct to problem-solving is to roll up your sleeves and dive in.  Build sophisticated algorithms that breathe more intelligence into our existing systems, such as automated decision making, customer routing, and call strategies. Own our suite of automation capabilities and intelligent decision-making projects/algorithms/services. Develop predictive machine learning and statistical models to understand customer and agent behavior. Relentlessly optimize our business by analyzing every type of data you can get your hands on, and finding ways to get new data. Extract meaningful conclusions from the data and communicate those findings clearly to different audiences.