Senior Analytics Engineer Services

Seeking to hire a Contractor based out of Mexico or Argentina for Senior-Level Data Engineering Services.

Scope of Services:

• We are looking for a Contract Analytics Engineer to join our data team.

• As a contractor, you will be responsible for applying software engineering best practices to analytics code to transform, test, and document data.

• You will provide clean and organized data sets to end users.

• You will be responsible for building and maintaining data pipelines, as well as optimizing SQL query performance for the models you build.

• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.

• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:

• Data Modeling and Transformation

  • Build new analyses and support 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 your ETL/ELT pipelines.

• 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.

Skills & Experience:

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

• Mastered proficiency in SQL and Python

• Advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks.

• Experience with dbt orchestration and best practices.

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

• Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.

• 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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