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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 software products and features for both internal and external clients. 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 using software engineering best practices to build data pipelines utilizing Python, PySpark/Snowpark, Azure Cloud Services, and analytical platforms such as Snowflake and Databricks.

As part of the Clean Room engineering team, you will work with transaction, audience, and exposure data to measure and report on campaign effectiveness while ensuring that our data and 3rd party data is treated with the highest standards of privacy compliance.

Responsibilities

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

Develop distributed data processing data pipeline solutions
Orchestrate multi-step data transformation pipelines
Perform unit, integration, and regression testing on packaged code
Build transformation logic and code in an Object Oriented Programming style
Enhance CI/CD pipelines in the path to production
Create data quality checks for ingested and post processed data
Ensure data observability via alerting and monitoring of automated pipeline solutions
Maintain and enhance existing applications
Build cloud resources via infrastructure as code
Provide mentoring to junior team members
Participate in retrospective reviews
Participate in the estimation process for new work and releases
Bring new perspectives to problems
Be driven to improve yourself and the way things are done

Requirements
Bachelor's degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
2+ years of proven professional data development experience
2+ years developing with SQL
Proficient with software engineering best practices
Proficient with data pipeline orchestration
Proficient with automated testing (PyTest, etc)
Proficient with VCS (Git, GitHub)

Proficient using Python frameworks
Proficient with Object Oriented Programming principles
Experience with distributed data processing (PySpark and/or Snowpark)
Experience with Data Observability
Experience with Data Quality checks and processes
Experience with Cloud Technologies & Services (Azure preferred, GCP, AWS)
Experience with CI/CD
Experience with dependency management (Conda, venv, etc)
Experience with debugging enterprise applications
Understanding of performance tuning enterprise processes
Understanding of Infrastructure as Code
Understanding SOLID principles

Understanding of Agile Principles (Scrum)

Preferred Skills – Experience in the following
Python Development
Object Oriented Programming
Distributed Data Processing (PySpark, Snowpark)
CI/CD practices
Automated data pipeline orchestration
Data observability – Logging, Monitoring, and Alerting
Databricks and/or Snowflake
API development
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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