About Multiscale
At Multiscale Technologies, we believe the future is driven by innovative materials, but the traditional approaches to discovering and manufacturing them are outdated and unsustainable. That’s why we’ve developed cutting-edge technologies to revolutionize this process. By bringing together world-class materials scientists, mechanical engineers, data scientists, and computer engineers, we’re designing next-generation materials and optimizing manufacturing processes to meet the demands of a more sustainable future. As a Series-A funded startup, Multiscale Technologies offers you an opportunity to make a direct impact on a growing company that’s accelerating the world's shift toward advanced materials and sustainable solutions. If you're ready to push the boundaries of technology and collaborate on game-changing advancements, join us in shaping the future.
Job Description
You will be responsible for designing, building, and maintaining our data infrastructure. This role involves working closely with data scientists, developers, and other stakeholders to ensure data availability, quality, and reliability.
Responsibilities
- Design, develop, and maintain scalable data pipelines to collect, process, and store large volumes of data from various sources.
- Implement ETL (Extract, Transform, Load) processes to transform raw data into structured formats.
- Integrate data from multiple sources, including databases, APIs, third-party services, and data warehouses.
- Ensure data consistency and integrity across different data stores.
- Design and manage databases, data warehouses, and data lakes to support data storage and retrieval needs.
- Optimize database performance and ensure data security.
- Ability to write complex queries dealing with complex joins across numerous tables spanning multiple databases for efficient data pulls.
- Implement data validation and quality checks to ensure data accuracy and reliability.
- Monitor data pipelines and perform troubleshooting and debugging as needed.
- Work closely with data scientists, developers and business stakeholders to understand data requirements and deliver solutions.
- Communicate effectively with technical and non-technical team members.
- Document data pipelines, workflows, and processes.
- Establish and promote best practices for data engineering, including coding standards, version control, and testing.
Basic Qualifications
- Bachelor’s degree in computer science, Engineering, Information Technology, or a related field. A master’s degree is a plus.
- 8+ years of experience in data engineering, software development, or a related field.
- Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, Snowflake, Azure Synapse or similar.
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server).
- Strong knowledge of ETL tools and frameworks (e.g., Apache NiFi, Apache Airflow, Talend, Informatica).
- Understanding of data modeling and database design principles.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Ability to manage multiple tasks and prioritize effectively.
Preferred Qualifications
- Consulting experience with named companies is a plus.
- Experience with NoSQL databases (e.g., MongoDB, Cassandra).
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
At Multiscale, we are committed to fostering an inclusive and diverse workplace where everyone is respected and valued. We believe in providing equal employment opportunities to all individuals, regardless of race, ethnicity, gender, sexual orientation, disability, religion, or background. Our goal is to create an environment where diverse perspectives drive innovation and success, and all employees have the opportunity to thrive and grow.