Senior-level Backend Software Engineering Services (Reporting)

Seeking to hire a Contractor based out of Argentina or Mexico for Senior-Level Back End Engineering Services (Reporting)

Scope of Services:

• We are looking for an Analytics Reporting Engineer to join our data team.

• Reporting to the Hiring Manager, you will be responsible for applying best practices in data modeling, data transformation, data testing for serving quality data to customer reporting interfaces.

• You will be responsible for building and maintaining composable data models, optimizing SQL query performance and maintaining python APIs for serving data to customers.

• You will transform raw data into business insights, working closely with stakeholders to serve data to critical customer reporting interfaces.

Why you'll love this role:Data Modeling and Transformation

• Build new models and optimize existing ones using SQL and Python.

• Apply software engineering principles like version control and continuous integration to the analytics codebase.

• Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.

• Implement validation checks and automated testing procedures to manage data quality in data transformation and API layers.

Collaboration and Communication

• Work with stakeholders to define business logic and data expectations.

• Help drive a change in the usage of data by actively surfacing insights to stakeholders.

• Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

• Build tools and automation to run data infrastructure.

• Manage large-scale data migrations in relational datastores.

Why you’re a great fit:

• 5+ Years experience working with data in a software environment. 

• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks. Experience with DBT implementation and best practices.

• Experience with Python API development is a plus, but not required.

• Experience with GCP services is preferred but not required. 

• You have a track record of working autonomously, with developing a deep domain knowledge of data systems.

• Required Tech Stack: SQL, Python, OLAP datastores, DAG tooling (like Dagster or Airflow), and DBT

• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits. 

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