My client is growing, and we’re looking to add a Data Engineer to our team.&nbsp;As part of our team, you’ll play a critical role in building the tools our senior leadership uses to drive the business. As part of your role, you’ll collaborate with senior management and data analysts to capture analytic use cases/questions, create pipelines as well as visualizations, and ensure data is communicated in a way that is accurate and easily understood. This role offers considerable growth opportunities, including the potential to scale into building complex data pipelines and conducting advanced/predictive analytics. LocationThis position is 100% remote, central time (CT) +/- 2 hrs.&nbsp;This is a full-time, direct-hire role (no third parties, please).&nbsp;All applicants must be currently authorized to work in the United States on a full-time basis. Responsibilities:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, develop, and maintain scalable and efficient data pipelines to process and transform large volumes of data from various sources into usable formats.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement and monitor data flows using event streaming platforms, ensuring efficient ingestion and processing of real-time data.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and manage data infrastructure, including databases, batch, and real time data processing jobs including event streams all while ensuring data quality, integrity, and security.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with data scientists, analysts, and stakeholders to understand data requirements and develop solutions that meet business needs.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Optimize data storage and retrieval systems and data models for performance and scalability.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Identify and address data quality issues with automated data monitoring, ensuring data cleanliness, completeness, and accuracy. What You’ll Bring·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3+ years of experience analyzing data sets over 10M rows using qualitative and quantitative methods.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3+ years of experience visualizing complex reports and dashboards using tools such as Tableau and Amplitude with a focus on event-based data.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3+ years of experience using programming languages such as Python to access, clean, and store data for future analysis.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ability to write, analyze, and debug complex SQL queries.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;An understanding of DevOps practices and tools for data infrastructure automation and management.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;An understanding of how data is managed in relational databases and how to upkeep the data as business grows.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;An understanding of ETL (Extraction, Transformation &amp; Load) processes and best practicesWhat Will Set You Apart ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prior experience analyzing and visualizing ecommerce or call center data sets.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prior experience dealing with deploying data processing code to cloud infrastructure.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ability to clearly communicate data definitions orally and within data visualizations.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prior experience utilizing A/B or split testing approaches to prove hypotheses.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Demonstrated attention to detail to minimize margin of error.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Comfortable working and communicating in a dynamic environment with ongoing concurrent projects What We Offer• Health insurance plans, including dental and vision insurance• 401(k) + matching• Disability insurance• Generous paid time off policy• Investment in personal growth and training• A fun, relaxed culture filled with smart folks committed to success&nbsp;As an equal opportunity employer, we are committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state and local laws.

Data Engineer

Anonymous Balloon

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