Boehringer Ingelheim
Lead Data Engineer (Snowflake, Airflow and Graph RAG) - W2 Role
Step into the future with Boehringer’s Enterprise Data, AI & Platforms (EDP) team! At Boehringer Ingelheim, we believe Data & AI have the power to transform healthcare and improve the lives of millions of patients and animals. As a key member of the EDP team, you will be part of a passionate group that builds a strong data & AI culture, delivers on key data transformation initiatives, and shapes the future of data‑driven decision making across our global organization.
We are seeking a highly skilled and experienced Data Engineer to design, build, and maintain our scalable and robust data infrastructure on a cloud platform. In this pivotal role, you will be instrumental in enhancing our data infrastructure, optimizing data flow, and ensuring data availability. You will be responsible for both the hands‑on implementation of data pipelines and the strategic design of our overall data architecture.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to patients and customers. We support our employees through a healthy working environment, diversity and inclusion, mobility, networking and work‑life balance. Our competitive compensation and benefit programs reflect our high regard for our employees.
Duties & Responsibilities
Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
Collaborate with data architects, modelers and IT team members to define and evolve the overall cloud‑based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift) ensuring data quality, integrity, security, and accessibility.
Implement data quality and validation processes to ensure data accuracy and reliability.
Develop and maintain documentation for data processes, architecture, and workflows.
Monitor and troubleshoot data pipeline performance and resolve issues promptly.
Consult with defined clients and stakeholders to understand and analyze processes and needs, determining requirements to present possible solutions or improvements.
Stay updated with the latest industry trends and technologies to continuously improve data engineering practices.
Data Engineer
Associate degree in Computer Science or MIS with a minimum of 4 years experience; or Bachelor degree with a minimum of 2 years; or Master degree with a minimum of 1 year; or relevant Business or IT experience of minimum 4 years.
Moderate level of technical understanding in integrating data between applications and data warehouses.
Knowledge of project management and experience working on project teams.
Experience with AWS services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
Proficiency in Python and SQL.
Sr. Data Engineer
Associate degree in Computer Science, MIS or related field with a minimum of 8 years experience; or Bachelor degree with a minimum of 4 years; or Master degree with a minimum of 2 years; or relevant Business or IT experience of minimum 4 years.
Expert‑level proficiency in at least one major cloud platform (AWS, Azure, or GCP) with extensive experience in their respective data services.
Advanced SQL writing and optimization skills.
Deep understanding of data warehousing concepts and dimensional modeling.
Hands‑on experience with AWS services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
Proficiency in Python and SQL.
Desired Skills, Experience And Abilities
4+ years of progressive experience in data engineering with a significant portion dedicated to cloud‑based data platforms.
Hands‑on experience with ETL/ELT tools and orchestrators (e.g., Apache Airflow, Azure Data Factory, AWS Glue, dbt).
Understanding of data governance, data quality, and metadata management principles.
AWS Experience and AWS solutions architect certification (Associate or Professional) is a plus.
Familiarity with Snowflake and dbt.
Strong problem‑solving skills, especially in data pipeline troubleshooting and optimization.
Eligibility Requirements
Must be legally authorized to work in the United States without restriction.
Must be willing to take a drug test and post‑offer physical (if required).
Must be 18 years of age or older.
Compensation Base salary typically between $115,000 and $181,000+. Eligibility for role‑specific variable or performance‑based bonus and other compensation elements.
Location This role is located in our Ridgefield, CT campus.
Why Boehringer Ingelheim? With us, you can develop your own path in a company with a culture that values differences. We invest heavily in global accessibility to healthcare, support work‑life balance, and create a respectful and friendly environment where everyone is valued and welcomed. For more information, visit https://www.boehringer-ingelheim.com
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We are seeking a highly skilled and experienced Data Engineer to design, build, and maintain our scalable and robust data infrastructure on a cloud platform. In this pivotal role, you will be instrumental in enhancing our data infrastructure, optimizing data flow, and ensuring data availability. You will be responsible for both the hands‑on implementation of data pipelines and the strategic design of our overall data architecture.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to patients and customers. We support our employees through a healthy working environment, diversity and inclusion, mobility, networking and work‑life balance. Our competitive compensation and benefit programs reflect our high regard for our employees.
Duties & Responsibilities
Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
Collaborate with data architects, modelers and IT team members to define and evolve the overall cloud‑based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift) ensuring data quality, integrity, security, and accessibility.
Implement data quality and validation processes to ensure data accuracy and reliability.
Develop and maintain documentation for data processes, architecture, and workflows.
Monitor and troubleshoot data pipeline performance and resolve issues promptly.
Consult with defined clients and stakeholders to understand and analyze processes and needs, determining requirements to present possible solutions or improvements.
Stay updated with the latest industry trends and technologies to continuously improve data engineering practices.
Data Engineer
Associate degree in Computer Science or MIS with a minimum of 4 years experience; or Bachelor degree with a minimum of 2 years; or Master degree with a minimum of 1 year; or relevant Business or IT experience of minimum 4 years.
Moderate level of technical understanding in integrating data between applications and data warehouses.
Knowledge of project management and experience working on project teams.
Experience with AWS services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
Proficiency in Python and SQL.
Sr. Data Engineer
Associate degree in Computer Science, MIS or related field with a minimum of 8 years experience; or Bachelor degree with a minimum of 4 years; or Master degree with a minimum of 2 years; or relevant Business or IT experience of minimum 4 years.
Expert‑level proficiency in at least one major cloud platform (AWS, Azure, or GCP) with extensive experience in their respective data services.
Advanced SQL writing and optimization skills.
Deep understanding of data warehousing concepts and dimensional modeling.
Hands‑on experience with AWS services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
Proficiency in Python and SQL.
Desired Skills, Experience And Abilities
4+ years of progressive experience in data engineering with a significant portion dedicated to cloud‑based data platforms.
Hands‑on experience with ETL/ELT tools and orchestrators (e.g., Apache Airflow, Azure Data Factory, AWS Glue, dbt).
Understanding of data governance, data quality, and metadata management principles.
AWS Experience and AWS solutions architect certification (Associate or Professional) is a plus.
Familiarity with Snowflake and dbt.
Strong problem‑solving skills, especially in data pipeline troubleshooting and optimization.
Eligibility Requirements
Must be legally authorized to work in the United States without restriction.
Must be willing to take a drug test and post‑offer physical (if required).
Must be 18 years of age or older.
Compensation Base salary typically between $115,000 and $181,000+. Eligibility for role‑specific variable or performance‑based bonus and other compensation elements.
Location This role is located in our Ridgefield, CT campus.
Why Boehringer Ingelheim? With us, you can develop your own path in a company with a culture that values differences. We invest heavily in global accessibility to healthcare, support work‑life balance, and create a respectful and friendly environment where everyone is valued and welcomed. For more information, visit https://www.boehringer-ingelheim.com
#J-18808-Ljbffr