> Markdown version of [/jobs/ext/2180313-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/2180313-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** US Mobile - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $120,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon S3, Data Analysis, Big Data, BigQuery, Data Architecture, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Structures, Database Design, Python (Programming Language), Software Engineering, SQL Databases, Tableau (Software), Data Processing, Scripting, Snowflake, Looker Analytics, Software Version Control, Data Pipelines, Amazon Redshift - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/job/us7be00329094eaabe4ed0321379f4d518/eaa ## About the Role * 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. * Experienced in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions., + New York City, NY HI Greeting of the day Role: Analytics / Data Engineer Location - New York, NY Job Type - Full Time Employment : Must Have Technical/Functional Skills Must Have Technic… ## Description We're getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback , surveys, and customer support informing product roadmaps and everything we do. It's working - Consumer Reports named us two years in a row.* And we're building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn't for everyone. If you work fast, flexibly, and collaboratively - without compromising standards - we want to hear from you. We are looking for a proactive and detail-driven Analytics Engineer to connect the worlds of data analysis and data engineering. In this role, you will design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. If you're passionate about analytics, automation, and building scalable solutions, we'd love to hear from you. \n, * 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. * Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets. * Create and optimize data models and schemas to support self-serve analytics and ensure data integrity. * Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. 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