Hiring: Senior Data Engineer Company: NinjaOne Location: Florida, United States Job Posted Time: 2026-09-12 11:55:56 Employment Type: Full-time / Remote Target Skills & Keywords : AWS, C++, Data Pipeline, Databricks, Deep Learning, ELT, ETL, FedRAMP, Go, Java, Kafka, Kinesis, Kotlin, PostgreSQL, Python, SQL, Spark, dbt About the job Experience: •7+ years of experience in software development, with a strong focus on data engineering and data science. Required Skills: •. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option. •Onsite interviews may be required for this role. •Product Visibility & Health: Drive line of sight into how our products are used and performing by building the data foundation behind product health, adoption, and usage analytics. •Data Pipeline Development: Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load data from multiple sources, making it usable for analysts and data scientists across the org. •Data Enablement for Analytics & Data Science: Partner closely with data scientists to prepare structured and unstructured data for modeling — including product usage, adoption, and customer behavior work. •Data Cleaning & Preparation: Own the transformation of raw, messy data into clean, well-structured datasets, including feature engineering support (e.g., creating dimensions, discretizing variables). •Product Telemetry & Streaming Data: Build and maintain pipelines for product telemetry, event, and streaming data sources as the team’s needs grow. •Complex Systems Fluency: Get familiar with NinjaOne’s distributed product architecture and the data it generates, and translate that complexity into clean, well-modeled datasets that bridge business questions with highly technical products. Qualifications: •Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred. •Demonstrated business impact and growth in prior roles •Expertise in Python and SQL. •Strong experience with Databricks, dbt, and AWS data services; experience with Unity Catalog is a plus. •Comfortable working with structured and unstructured data; experience with product telemetry, event, or streaming data is a plus. •Solid understanding of data cleaning, preparation, and feature engineering to support downstream modeling. •Able to work independently with messy data from sourcing through cleaning to handoff for modeling and comfortable operating in a fast-paced environment. •Strong communicator able to work directly with technical and non-technical stakeholders and bridge business needs with highly technical work. •Previous experience partnering directly with data scientists or analytics teams on model-ready data pipelines. •Understanding of Generative AI and Deep Learning frameworks. Compensation: •$110,000 - $200,000 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!