Data Engineer I

Element Biosciences is a multi-disciplinary startup focused on innovating genetic analysis tools for the research and clinical markets. The Company's technology will broaden the end user experience through improved data quality and simplified workflows to benefit discoveries and diagnosis in healthcare.

We are passionate about our mission to develop high performing products to study genomics with unprecedented flexibility and quality that enable researchers to better understand biology for the improvement of global health. We have built a highly efficient product-driven organization where employees can learn, grow and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking a talented and motivated Data Engineer to join our team as a Data Engineer I. In this role, you will have the opportunity to work on cutting-edge projects and play a crucial role in driving our mission forward. You will be working with a team of experienced professionals in a fast-paced, product-driven environment.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES:

• Extract, transform, and load data from various business-critical systems into cloud-based databases
• Support development and maintenance of business system integrations
• Manage data models that support BI and analytics
• Collaborate with cross-functional teams to identify data-related needs and ensure the timely delivery of curated data sources
• Continuously monitor and improve data quality and accuracy
• Communicate technical information effectively to both technical and non-technical stakeholders
• Operate in a fast-paced environment with rapidly shifting priorities
• Manage role access and privilege escalation across a distributed database

REQUIRED SKILLS/ABILITIES:

• Experience with using SQL to query ERP, CRM, and event stream data sources
• Strong understanding of business terms and workflows (example order to cash, procure to pay, etc.)
• Knowledge of data warehousing and ETL best practices
• Experience with programming languages such as SQL, Python, or Java
• Ability to create BIs with modern data visualization tools
• Detail-oriented with strong analytical and verbal/written communication skills
• Self-motivated, with the ability to work independently and as part of a team
• Ability to effectively communicate technical information to stakeholders with varying
• Experience with data ingestion and data modeling (DBT, Stitch, FiveTran, etc.)
• Experience with data warehousing and RBAC security (Snowflake, BigQuery, Redshift, etc.)

EDUCATION AND EXPERIENCE:

• Bachelors degree in Data Engineering, Computer Science, or a related field
• 3-5 years experience with an Object Oriented Programming (OOP) language
• 3-5 years experience with SQL

PHYSICAL REQUIREMENTS:

• Must be able to lift 15 pounds

BASE COMPENSATION PAY RANGE: $97,200 - $113,400 

In addition to base compensation, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. 

Please Note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. 

We are passionate about our mission to develop high performing products to study genomics in unprecedented flexibility and to understand biology for the improvement of healthcare. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness. We offer excellent benefits, which include a 401K plan, competitive health benefits, flexible vacation, and equity incentives.

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status, or any other characteristics protected by law.