Senior Data Quality Engineer (I, II, III) at Cellares

South San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cell Therapy, Biotechnology, ManufacturingIndustries

Requirements

Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field and 5+ years of relevant experience
Experience with data pipeline and data quality testing strategy and execution, with significant hands-on experience in the Databricks environment
Strong proficiency in Python for developing and executing data validation scripts
In-depth knowledge of Databricks, Delta Lake, and the Lakehouse architecture
Proficiency in writing complex SQL queries for data validation, reconciliation, and troubleshooting issues
Solid understanding of data warehousing concepts, including dimensional modeling (star/snowflake schemas)
Hands-on experience with Azure, including Azure storage and data services that integrate with Databricks
Ability to process data, interpret testing results and provide feedback to the team
Desire to be part of a rapidly evolving organization, with compelling technology, and taking products and processes to the next level
Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset

Responsibilities

Build and maintain automated data validation tests using Databricks notebooks and tools like Pytest
Test data ingestion, transformation, and loading processes within the Databricks Lakehouse, specifically focusing on the Bronze, Silver, and Gold layers of the Medallion architecture
Implement tests for data accuracy, completeness, consistency, timeliness, and uniqueness at different points in the pipeline to catch data issues early
Reconcile data by comparing record counts, schemas, and values between source systems and target tables in Databricks
Implement automated data quality checks within data pipelines to ensure no data regressions occur with new code deployments
Implement automated monitoring and alerting for data quality metrics, identifying anomalies in data freshness, schema evolution, and volume
Work closely with data engineers and product owners to understand data requirements and ensure data quality meets business needs
Ensure compliance with data governance policies by building quality checks that validate data sensitivity, masking, and lineage, leveraging tools like Unity Catalog
Communicate project status and new discoveries in a clear and timely manner during daily stand-ups

Skills

Key technologies and capabilities for this role

DatabricksPytestData ValidationData PipelinesLakehouseMedallion ArchitectureBronze LayerSilver LayerGold LayerData Quality ChecksAutomated TestingData ReconciliationSchema ValidationMonitoringAlerting

Questions & Answers

Common questions about this position

What experience level is required for the Senior Data Quality Engineer role?

A Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field and 5+ years of relevant experience are required.

What are the key technical skills needed for this position?

The role requires strong proficiency in Python, in-depth knowledge of Databricks, Delta Lake, and Lakehouse architecture, proficiency in complex SQL queries, experience with data warehousing concepts like dimensional modeling, and hands-on experience with Azure.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of work environment and team culture can I expect at Cellares?

The role involves working in a fast-paced, mission-driven environment on a cross-functional team, requiring great team players who can work with minimal supervision.

Cellares

Develops and manufactures cell therapies efficiently

About Cellares

Cellares develops and manufactures cell therapies in the biotechnology sector, operating as an Integrated Development and Manufacturing Organization (IDMO). Its proprietary "Smart Factory" technology features an automated single-use cartridge system, which increases productivity and reduces costs and process failures compared to traditional methods. The company serves a range of clients, including pharmaceutical companies, and aims to provide efficient and cost-effective manufacturing services for cell therapies. Cellares stands out by combining development and manufacturing processes under one roof, making it a competitive option in the industry.

South San Francisco, CaliforniaHeadquarters

2019Year Founded

$345.3MTotal Funding

SERIES_CCompany Stage

Industrial & Manufacturing, BiotechnologyIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Stock Options

Risks

Emerging biotech startups threaten Cellares' market share with similar solutions.

Potential regulatory delays could impact scaling of new automated systems like Cell Q.

Supply chain vulnerabilities may disrupt production timelines for Cell Shuttle and Cell Q.

Differentiation

Cellares' Cell Shuttle offers 10x scalability over manual cell therapy manufacturing.

The Smart Factory technology integrates development and manufacturing, unlike traditional CDMOs.

Cell Q automates QC processes, addressing bottlenecks in cell therapy quality control.

Upsides

Partnership with Sony enhances precision in cell therapy manufacturing processes.

Strategic partnership with Bristol Myers Squibb provides financial boost and validation.

Ossama Eissa's appointment as COO accelerates global expansion and operational capabilities.

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