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Data Engineer

1 month ago

Chicago, United States AHEAD Full time
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. 
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. 
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. 
AHEAD is seeking a Data Engineer to join our Business Applications team. This Data Engineer will be responsible for hands-on engineering of data platforms that support our internal advanced analytics, data science, and other data engineering initiatives. 
The Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems.  As a Data Engineer, you will implement data pipelines to enable analytics and machine learning on rich datasets. Responsibilities
  • Design and architect data platform infrastructure in Azure and Snowflake.
  • Build data pipelines for ingesting, processing, and routing events using Fivetran, dbt, and similar technologies.
  • Design and build a data lakehouse architecture.
  • Create unified frameworks for stream, batch and real-time processing.
  • Develop data models, schemas and standards for batch and event data.
  • Optimize data replication and loading across systems. Optimize data storage and access patterns for fast querying.
  • Improve data reliability, discoverability and observability.
  • Improve our planning, development, and deployment processes to help you and your fellow team members.
  • Participate in all engineering activities including incident response, interviewing, designing and reviewing technical specifications, code review, and releasing new functionality.
  • Mentor, coach, and inspire a team of engineers of various levels.
  • Drive cross-pillar collaboration with software engineers, product managers, and data scientists in an autonomous, supportive team environment.
  • Effectively communicate team priorities and strategy to engineering and cross-functional leadership teams.
Qualifications
  • 5+ years of professional technical experience
  • 3+ years of hands-on Data Architecture and Data Modeling.
  • 3+ years of experience building highly scalable data solutions using Azure, Fivetran, dbt, and/or Snowflake
  • 2+ years of programming languages such as Python
  • Experience with Business Intelligence tools, such as PowerBI, is a plus
  • Strong communication and facilitation skills
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
We understand that you have a life outside of work. That’s why we offer paid time off, paid company holidays, and a great benefits program including maternity/paternity leave and much more
Please note that although some job posting are indicated as remote, it is solely for the purpose of the posting. It is company policy for employees within thirty miles of an office to be in-office at least 2 days per week.