About Mytra We're creating an entirely new way to solve the most ubiquitous problem in industry - moving and storing material. We're applying robotics and distributed software to create a new class of product for this $1T market. We're focused on the supply chain industry first. The industry is in a massive bind with the continued growth of e-commerce, sharp rise in costs, and supply chain disruptions. What has been a "sleepy" industry for decades is now at the epicenter of sustaining the global economy. Role Overview Mytra's software team is looking for a Senior Data Engineer to continually improve the business through scientific and data-driven insights. As a Senior Data Engineer you'll design the next generation of our data pipeline, collaborate with internal stakeholders to define and measure key metrics, and develop data models. You'll get the opportunity to have significant ownership of the data infrastructure that empowers internal teams to make key decisions. Example Projects <ul><li>Work with stakeholders to define and align on key metrics</li><li>Architect and implement the next generation data pipeline</li><li>Collaborate with Software and Firmware teams to capture data in line with company goals</li></ul> The Ideal Candidate <ul><li>You're very comfortable with best-in-class data tooling like Telegraf, Prometheus, Grafana (not an exhaustive list) and have experience with ETL Processes.</li><li>You are excited about working on an immature project, growing together, and shaping the future of the company.</li><li>Uncertainty isn't scary, and you're willing to realize mistakes and pivot.</li><li>You're familiar with Observability.</li><li>You can convey complex ideas and technical concepts to a diverse audience.</li><li>Openness, inquisitiveness, and constant ambition are important values.</li><li>You enjoy collaborative working and taking time to help others.</li></ul> A Final Note You're encouraged to apply even if you can't take on every example project in its totality. We work closely and collaboratively at Mytra - No one takes on projects alone. We seek people who are eager to work together, learn new things, and bring unique perspectives. The pay range for this role is: 155,000 - 175,000 USD per year (Mytra)

We are seeking an experienced Senior Data Engineer who will contribute to developing our advanced cell therapy manufacturing platform. This role will lead the design, development, and management of scalable data pipelines and architecture. The ideal candidate has extensive experience in data engineering, a strong understanding of modern data architectures, and a deep knowledge of big data technologies. This role involves working with large datasets, ensuring data quality, and collaborating with cross-functional stakeholders across the organization to provide data-driven business outcomes for our cell therapy business. We're looking for someone who thrives in a fast-paced, mission-driven environment, is comfortable wearing multiple hats, and is ready to tackle diverse challenges as our company grows. Responsibilities <ul><ul><li>Architect, design, and implement data pipelines and infrastructure to support the implementation of data analytics and AI solutions, leveraging Azure Cloud Platform and Databricks technologies</li><li>Collaborate with cross-functional teams to understand project requirements, translate them into technical specifications, and develop scalable and efficient data solutions</li><li>Build and maintain data ingestion, transformation, and storage systems using Azure services such as Azure Database for PostgreSQL, Azure Blob storage, and Azure Databricks, ensuring data quality, reliability, and security</li><li>Work closely with cell therapy process developers, manufacturing operators, and scientists to preprocess and prepare data for machine learning models, performing feature engineering, data augmentation, and exploratory data analysis as needed</li><li>Implement monitoring, logging, and alerting mechanisms to track data pipeline performance and ensure timely identification and resolution of issues</li><li>Document data engineering processes, workflows, and best practices and provide guidance and support to project team members as needed</li></ul></ul> Requirements <ul><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field with at least 6 years of related industry experience</li><li>Proven experience in data engineering, with a focus on building data pipelines and infrastructure in cloud environments, preferably on Microsoft Azure</li><li>Strong proficiency in Azure services such as Azure Databricks, Azure Database for PostgreSQL, Azure Table Storage, Azure Cosmos DB</li><li>Proficiency in managing, optimizing, and data integration with Elasticsearch clusters</li><li>Experience with data preprocessing, feature engineering, and data modeling techniques, particularly in the context of data analytics, machine learning, and AI applications</li><li>Proficiency in programming languages such as Python or C#, with experience in developing scalable and efficient data processing code</li><li>Expertise with data visualization tools such as Microsoft Power BI and Tableau</li><li>Familiarity with data governance, compliance, and security best practices, especially in regulated industries such as medical devices, cell therapy, bioprocessing, or instrumentation</li><li>Excellent problem-solving and analytical skills, with the ability to troubleshoot complex data engineering issues and optimize performance</li><li>Effective communication and collaboration skills, with the ability to work in cross-functional teams and interact with stakeholders at all levels</li><li>Comfortable working in a fast-paced start-up company environment with minimal direction and changing priorities</li><li>Ability to be a strong problem solver and team player</li><li>Self-awareness, integrity, authenticity, and a growth mindset</li><li>This will be a full-time onsite position in South San Francisco or Chicago</li></ul></ul> $90,000 - $210,000 a year Cellares total compensation package contains competitive base salaries, highly subsidized Medical, Dental, and Vision Plans, 401(k) Matching, Free EV Charging, Onsite lunches, and Stock options. All displayed pay ranges are approximate, negotiable, and location dependent.

Job Description Cloud Data Engineer ROCGJP00027944 A leading biotechnology company is seeking a highly skilled and motivated Cloud Data Engineer to join our growing data team. The ideal candidate will have a strong background in developing data pipelines, implementing data models, and executing best practices for developing data products. This role requires expertise in AWS, GitLab CI/CD, dbt, Snowflake, SQL, Python, Git, and DevOps, as well as hands-on experience with orchestrators such as Airflow and AutoMateNow, and data governance technologies like Monte Carlo and Collibra. Cloud Data Engineer Pay and Benefits: <ul> <li>Hourly pay: $70-$80/hr (pay varies based on candidate's experience) </li><li>Worksite: Leading biotechnology company (South San Francisco, CA 94080) </li><li>W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL </li><li>40 hours/week, 7 Month Assignment </li></ul>Cloud Data Engineer Responsibilities: <ul> <li>Develop Data Pipelines: Design, develop, and maintain robust, scalable, and efficient ETL/ELT pipelines to support diverse data sources and large-scale data processing. </li><li>Data Modeling: Create and maintain data models and data architecture to ensure data integrity and optimum performance. </li><li>Best Practices Implementation: Apply industry best practices in data warehousing, data governance, and data lifecycle management. </li><li>Collaboration: Work closely with data scientists, analysts, and other stakeholders to gather requirements and deliver high-quality data products. </li><li>Automation and CI/CD: Implement CI/CD pipelines using GitLab for automated testing, deployment, and integration of data workflows. </li><li>Database Management: Manage and optimize Snowflake databases for performance, scalability, and cost-effectiveness. </li><li>Coding and Scripting: Write efficient SQL queries and Python scripts to extract, load, and transform data. </li><li>Version Control: Utilize Git for version control, ensuring traceable and manageable code changes. </li><li>Orchestration: Utilize orchestration tools like Airflow and AutoMateNow to manage and automate data workflows. </li><li>Data Governance: Implement and manage data governance and data observability solutions using technologies like Monte Carlo and Collibra. </li><li>Monitoring and Optimization: Monitor data pipeline performance and troubleshoot issues to ensure reliability and efficiency. </li><li>Documentation: Maintain comprehensive documentation for data pipelines, models, and processes. </li></ul>Cloud Data Engineer Qualifications: <ul> <li>5+ years of experience in data engineering or a similar role. </li><li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. </li><li>AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect. </li><li>Proven experience with AWS cloud services related to data processing, such as S3, Redshift, Lambda, Glue, and Data Pipeline. </li><li>Proficiency in designing and implementing CI/CD pipelines with GitLab. </li><li>Experience with dbt (data build tool) for transforming data within the warehouse. </li><li>Experience with orchestrators like Airflow and AutoMateNow. </li><li>Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis). </li><li>Experience in a regulated industry </li><li>Experience in a manufacturing environment </li><li>Strong knowledge of Snowflake with hands-on experience in data warehousing solutions. </li><li>Expertise in SQL for data querying, manipulation, and optimization. </li><li>Proficiency in Python for scripting and automation tasks. </li><li>Familiarity with DevOps practices and tools. </li><li>Knowledge of data governance and observability tools such as Monte Carlo and Collibra. </li><li>Strong working knowledge of Git for version control. </li><li>Strong problem-solving and analytical skills. </li><li>Excellent communication skills, both written and verbal. </li><li>Ability to work collaboratively in a fast-paced, dynamic environment. </li><li>High attention to detail and commitment to producing high-quality work. </li> </ul>

Data Engineer Jobs in South San Francisco, CA

Cloud Data Engineer
November 9, 2024

Senior Data Engineer
November 6, 2024

Senior Data Engineer Iiiiii
November 1, 2024

Cloud Data Engineer
October 26, 2024

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Data Engineer Jobs in South San Francisco, CA

Cloud Data EngineerNovember 9, 2024

Senior Data EngineerNovember 6, 2024

Senior Data Engineer IiiiiiNovember 1, 2024