Analytics Engineer

US Mobile

full-time

Posted on: 9/18/2025

Origin: • 🇺🇸 United States • New York

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💰 $120,000 - $180,000 per year

Mid-LevelSenior

AirflowAmazon RedshiftBigQueryETLIoTPythonSQLTableau

About the role

Design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams.
Work closely with engineering teams to design and develop data structures that enable deeper analysis.
Demonstrate expertise in the analytics engineering development cycle, including data modeling, version control, documentation, testing, and ensuring codebase best practices.
Create and optimize data models and schemas to support self-serve analytics and ensure data integrity.
Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets.
Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights.

4+ years of professional experience in analytics engineering, data engineering, or data science.
Strong understanding of data architecture, including building scalable pipelines and optimizing storage solutions for analytical workflows (e.g., S3, Redshift, Snowflake, BigQuery).
Strong understanding of data engineering principles, including ETL / ELT processes.
Hands-on experience with data orchestration tools (e.g., Airflow) and data modeling frameworks (e.g., dbt).
Proficiency in Python or a similar scripting language for data processing and analysis.
Strong expertise in SQL, including experience with data modeling and adherence to database design best practices.
Proven ability to create impactful reports and dashboards using business intelligence tools such as Tableau and Looker.
Experience working in a fast-paced, constantly improving startup environment.