Data Engineer 1
Job Summary
Illumina Enterprise Data Engineering
Data Engineer 1
Job Description
We are seeking a motivated detail-oriented and enthusiastic Data Engineer to join our Enterprise Data Engineering this role you will contribute to building enhancing and maintaining modern data pipelines data models and data products that support analytics reporting AI and business decision-making.
Working closely with senior data engineers architects product owners and business stakeholders you will gain hands-on experience with modern cloud data platforms data engineering frameworks and AI-assisted development practices while building a strong technical foundation.
This role is ideal for recent graduates or early-career professionals who are passionate about data cloud technologies AI and continuous learning and are looking to grow into a well-rounded Data Engineering professional.
Position Responsibilities
- Develop enhance and maintain data ingestion transformation and ELT/ETL pipelines using SQL Python dbt Snowflake Databricks and established Data Engineering frameworks under the guidance of senior engineers.
- Support the ingestion of structured semi-structured and unstructured data from enterprise applications APIs databases cloud platforms and file-based sources.
- Assist in developing and maintaining reusable dbt models macros snapshots and tests following engineering standards and best practices.
- Perform data validation reconciliation and quality checks to ensure data accuracy completeness and consistency.
- Monitor data pipelines investigate failures troubleshoot issues and support production incidents with guidance from senior team members.
- Participate in SQL query optimization and performance tuning of data pipelines and cloud-based data solutions.
- Participate in code reviews unit testing deployment activities and documentation following established engineering standards.
- Collaborate with Data Engineers Architects Analysts Product Owners and Business SMEs to understand business requirements and deliver reliable data solutions.
Position Requirements
- 02 years of experience (including internships academic projects or professional experience) in Data Engineering Data Analytics Software Engineering or a related field.
- Basic proficiency in SQL for querying data transformation and analysis.
- Working knowledge of Python for data processing scripting or automation.
- Understanding of relational databases and basic data modeling concepts.
- Familiarity with ETL/ELT concepts and exposure to tools such as dbt Spark or similar technologies is preferred.
- Exposure to cloud data platforms such as Snowflake Databricks or cloud services (Azure AWS or GCP) through projects coursework or internships is desirable.
- Basic understanding of file formats such as Parquet CSV JSON and exposure to Delta Lake or similar technologies is an advantage.
- Exposure to AI-assisted development tools (GitHub Copilot Microsoft Copilot ChatGPT or similar) for improving development productivity is desirable.
- Good analytical troubleshooting and problem-solving skills with attention to detail.
- Strong verbal and written communication skills and the ability to collaborate effectively within Agile teams.
- Passion for learning modern Data Engineering technologies cloud platforms AI and engineering best practices.
- Bachelors degree in computer science Information Technology Data Science Engineering Mathematics or a related discipline.
Competencies We Value
- Analytical Thinking & Problem Solving - Analyzes issues identifies root causes and delivers practical solutions.
- Learning Agility & Continuous Improvement - Quickly learns new technologies and continuously enhances skills and processes.
- Ownership & Accountability - Takes responsibility for deliverables and follows through with high-quality outcomes.
- Adaptability & Resilience - Adjusts effectively to changing priorities technologies and business needs.
- Innovation & Automation Mindset - Identifies opportunities to automate tasks and improve engineering efficiency.
- Curiosity & Continuous Learning - Demonstrates a passion for learning and staying current with emerging technologies AI and best practices.
We are a company deeply rooted in belonging promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation Illumina has always prioritized openness collaboration and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay regardless of gender ethnicity or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences increase cultural awareness and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex race creed color gender religion marital status domestic partner status age national origin or ancestry physical or mental disability medical condition sexual orientation pregnancy military or veteran status citizenship status and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local state and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local state and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process please contact To learn more visit: The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.
Required Experience:
IC