Hybrid Data Engineer

About the job 036 - Hybrid Data Engineer - 29287

2 N Riverside Plaza, Chicago, IL 60606
Can do up to $180 but really wants to stay in the $160,000's because they know they can get the candidate through
As a Data Engineer, you will implement the data models and data structures needed for each use case, in the most convenient format to be used by the Data Science and Business Intelligence teams. Through regular interactions with stakeholders and functional business unit leaders, you will build high-performance data pipelines, tools, and a platform that influences EQR's data storage, ingestions, and usage.

Additionally, you will participate in data requirements, modeling and testing activities. Each day will be unique, requiring an ability to think strategically and on your feet, be creative, take initiative, and employ a diverse set of skills.

• Knowledgeable, Analytical, and Solution-Oriented
  . Without a doubt, you've got strong quantitative skills and are comfortable analyzing large data sets, spotting trends and patterns, and synthesizing relevant observations. You use a hypothesis-driven approach to engage in analysis that will deliver on your client questions. You like thinking outside the box to come up with innovative points of view on new challenges, relying on your previous analytic work and experience to help guide you along the way.
• Results-Oriented
  . You demonstrate an inherent sense of urgency to drive great results, while being precise in executing your work. You are facile with creating and communicating a clear project plan, tracking progress, and keeping your business partners in the loop along the way.
• Intellectually Curious
  . You're inherently interested in the "why" so that you can identify opportunities that represent unconventional solutions to the problems you are trying to solve.
• Strong Communicator
  . Your writing and speaking skills are concise, articulate, and effective, providing an ability to interact with all levels/various teams across the organization, be understood, and develop trust and rapport within the organization.
• Technologically Savvy
  . You exhibit mastery of SQL along with a strong skill set in one or more general programming languages (Python, Java, Scala, C++)
• A Trusted Team Player
  . You enjoy partnering with others and build constructive working relationships that foster the collaboration necessary to deliver great results. You are accountable to your teammates and follow through on commitments.
• Organized and Confident
  . You are flexible, composed, and able to prioritize multiple tasks and deadlines simultaneously, while confidently interacting with a variety of individuals, across all levels of the organization. You handle pressure well and do so with confidence.

• Lead the effort to democratize data at EQR, providing the right endpoints for the right user (e.g. report, API, table, etc.)
• Assist in standardizing our data management best practices, including codebase management, work and issue tracking, testing and quality control/assurance measures, data dictionaries, and a documentation hub for both production level code and ad hoc analyses.
• Interact with stakeholders and functional subject matter experts to understand and gather requirements to develop effective data models that can be translated into business insights reports/analyses
• Create data models and data processes, providing the right format and structure for use case solutions.
• Build and deploy pipelines to ingest and transform in our rapidly growing data platform
• Partner with IT and Functional Teams on internal/external data integration and acquisition
• Research modern technologies and frameworks to discover uses for new and existing data.
• Propose and effect changes to our data generation processes
• Produce clean, well-tested, and documented code

• Bachelor's Degree required, preferably in Computer Science, Mathematics, Statistics, Finance or related technical field.
• 3+ years developing end-to-end Business Intelligence or Analytic solutions (i.e. data modeling, ELT/ELT, reporting/analysis)
• Experience working with data warehouses, including technical architectures, infrastructure components, large-scale ETL/ELT pipelines, automation, database optimization, and reporting/analytic tools and environments.
• Experience writing software in one or more languages:
  Python, Java, C++
• 3+ years utilizing SQL based data management systems (preferred No
  
  SQL experience as well)
• Experience with Azure or other cloud providers (AWS, GCP) is strongly preferred
• Preferred experience with data platforms and technologies such as Kafka, Presto, Delta Lake, Spark, etc.
• Demonstrated experience working with diverse data sets and frameworks across multiple domains
• Demonstrated experience using software engineering best practices like Continuous Integration/ Deployment to deliver complex software projects
• Team oriented and flexible with a proven track record in collaborating with multiple stakeholders.
• Must be available…