<div><div>At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston. </div><div> </div><div>Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being 1/5th the cost of AWS S3, faster than the competition, with no fees for egress or API request and delivered as a single-tier solution. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity.</div><div><br /></div><div><b>Role Description: Data Engineer</b></div><div><b> </b></div><div><b>Role Purpose:</b></div><div><br /></div><div>As a Data Engineer at Wasabi, you will be responsible for designing, developing, and maintaining the data architecture that underpins our data-driven decision-making processes. You will work closely with data scientists, analysts, and other stakeholders to ensure our data is accessible, reliable, and ready for analysis.</div><div><br /></div><div>*Principals Only. No Recruiters.</div></div><div><div><h3>Responsibilities:</h3><ul><ul><li>Data Pipeline Development: Design, build, and maintain robust data pipelines to acquire, ingest, and transform data from various sources into a usable format for analytics and reporting. </li><li>Database Management: Manage and optimize databases, ensuring data quality, integrity, and performance. Implement data partitioning, indexing, and storage strategies to improve query performance. </li><li>ETL Processes: Develop efficient Extract, Transform, Load (ETL) processes for cleaning, enriching, and transforming data, ensuring that it meets the needs of data consumers. </li><li>Data Warehousing: Build and maintain data warehouses or data lakes for structured and unstructured data storage. Ensure scalability and manage metadata. </li><li>Data Modeling: Create and maintain data models that support the analytical needs of the organization. Collaborate with data analysts and scientists to develop models for advanced analytics and machine learning. </li><li>Data Security: Implement and maintain data security and privacy measures, including access controls, encryption, and compliance with data protection regulations. </li><li>Monitoring and Optimization: Monitor data pipelines and database performance, troubleshoot issues, and continuously optimize the system for efficiency and scalability. </li><li>Documentation: Create and maintain comprehensive documentation for data infrastructure, processes, and best practices. </li><li>Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and software developers, to understand data requirements and deliver solutions that meet business objectives.</li></ul></ul></div></div><div><div><h3>Requirements:</h3><ul><ul><li>Bachelors or higher degree in Computer Science, Information Technology, or a related field. </li><li>Proven experience as a Data Engineer or in a similar role. </li><li>Proficiency in data pipeline and ETL development using tools like FiveTran, DBT, or similar technologies. </li><li>Strong database management skills, including experience with SQL and NoSQL databases. </li><li>Knowledge of data warehousing concepts and experience with platforms like Amazon Redshift, Google BigQuery, or Snowflake. </li><li>Familiarity with data modeling and data architecture best practices. </li><li>Programming skills in languages like Python, Java, or Scala. </li><li>Experience with data integration and workflow orchestration tools. </li><li>Experience with Salesforce &amp; Snowflake </li><li>Strong problem-solving and communication skills. </li><li>Adept at working in a collaborative team environment. </li><li><b>Preferred Qualifications: </b></li><li>Certification in data engineering or related field. </li><li>Experience with: FiveTran, DBT, Git Actions, Tableau </li><li>Knowledge of data governance and compliance standards.</li></ul></ul></div></div><div><div>At Wasabi we offer a dynamic and inclusive work environment where your contributions are recognized and valued. Youll have the opportunity to work with cutting-edge technologies, solve complex data challenges, and be a part of a team dedicated to harnessing the power of data for business success. </div><div><br /></div><div>If you are passionate about data engineering and want to be a part of our growing team, we encourage you to apply. Join us in shaping the future of data at Wasabi. </div><div><br /></div><div><span>Wasabi Technologies is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.</span></div></div><div><a href="https://jobs.lever.co/wasabi/04a6339d-4815-4a07-bc03-4c43ce77c437/apply">Apply for this job</a></div>

Wasabi Technologies

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