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# Senior Data Engineer

- **Company:** Tekmetric LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Sharing, Data Visualization, Python (Programming Language), DataOps, Software Engineering, SQL Databases, Data Streaming, Tableau (Software), Apache Spark, Data Lakes, Information Technology, Looker Analytics, Data Pipelines, Programming Languages, Data Generation
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c12a80beda6f5003

## About the Role

Do you have experience in Tooling?, * 5+ years experience in software engineering with a focus in data

 * Expert in SQL and one or more programming languages (ideally Python, Java or Scala)
 * Experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow)
 * Experience working with data modeling, data architecture design, and ETL pipelines
 * Experience working with batching and streaming data infrastructure
 * Familiarity with data visualization tools (Looker, Tableau, etc)
 * You enjoy working in fast moving and dynamic environments
 * Degree in Computer Science or Engineering

## Description

As a Senior Data Engineer on this team, you will play a critical role in the design, implementation, and maintenance of our data infrastructure and pipelines that supports the business needs. You'll collaborate closely with cross-functional teams including engineering, product, and revenue to ensure that our data is accurate, accessible, and reliable for making informed business decisions. Your expertise will contribute to the optimization of data flow and storage, enabling us to extract actionable insights and drive innovation.

 * Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake.
 * Collaborate and influence the long term technology strategy and innovations roadmaps across data engineering areas.
 * Provide technical leadership, mentorship and growth to junior team members as we scale
 * Collaborate closely with engineering and product to elevate data generation approaches
 * Manage the end-to-end life cycle on the development of new features and pipelines
 * Ideate and contribute to shared data engineering tooling and standards.
 * Define and promote data engineering best practices across the company.


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