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Senior Data Engineer

4 months ago


Cincinnati, Ohio, United States 84.51° Full time

As a Senior Data Engineer, you will have the opportunity to design and build data pipeline for both internal and external clients. You will have deeper understanding of Data Engineering approaches along with hands on experience in building highly scalable solutions. We are a team of innovators, continuously exploring new technologies that ensure 84.51° remains on the forefront of data development. In this position, you will be utilizing Python, Pyspark, SQL, Databricks, Azure Cloud Services, and Snowflake.

As part of the Data Asset team, you will be working in a space that will be using various internal and external data in order to facilitate reporting, analysis and warehousing.

Responsibilities

Take ownership of stories and drive them to completion through all phases of the entire 84.51° SDLC. This includes external and internal data pipeline as well as process improvement activities such as:

Design and develop Python & SQL based data pipeline solutions
Perform unit and integration testing
Create quality checks for ingested and post processed data
Ensure alerting and monitoring of automated pipeline solutions
Provide mentoring to junior team members
Participate in retrospective reviews
Participate in the estimation process for new work and releases
Maintain and enhance existing applications
Bring new perspectives to problems
Be driven to improve yourself and the way things are done

Requirements
Understanding of Agile Principles (Scrum)
5+ years of proven professional Python and SQL development experience
Proficient with distributed data processing (PySpark, Snowpark)
Proficient with automated testing (PyTest, etc...)
Proficient with GitHub
Experience using Python frameworks
Experience with Cloud Technologies & Services (Azure preferred, GCP, AWS)
Experience with performance tuning enterprise applications
Experience with debugging data pipleines
Understanding of CI/CD
Understanding of Object Oriented Principles
Understanding SOLID principles

Preferred Skills
Python & SQL Development
Distributed Data Processing (PySpark, Snowpark)
CI/CD practices
Automated data pipeline orchestration
Data observability – Logging, Monitoring, and Alerting (Datadog)
Azure Cloud infrastructure development
Snowflake
Databricks
Data quality checks
Cloud Technologies

IMPORTANT INFO

This is a Hybrid position. Candidates must be able to come into the office on Monday, Tuesday, and Wednesday of each week. We have locations in Cincinnati, OH, Chicago, IL, Deerfield, IL, New York, NY, and Portland, OR. There are no remote options for this position.

We are NOT working with Staffing Firms, Consulting Companies, or any other 3rd parties on this position.

Full-time only. No contracts. No C2C.

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