What are the responsibilities and job description for the Jr. Data Engineer position at Lensa?
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Job Description
This is a unique opportunity to join a high-impact team working on critical data pipelines and transformations that support information security, fraud detection, and access management. Youll work with a modern data stack and gain exposure to cloud technologies, data reliability practices, and business-facing analytics. Data is generally clean, but candidate may handle some transformations, error handling, and sensitive data scrubbing. Role involves working with information security data sets (member and employee access management, external/internal fraud). Some knowledge of fraud models and machine learning is a plus, but not mandatory.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Skills And Requirements
Technical Requirements
Core Technologies: Proficiency with Snowflake and DBT.
Experience with DataStage, Talend, and Kafka (receiving side).
Monitoring & Reliability: Proficient in Grafana, Fortuna, or Datadog for SLO/SLA monitoring.
Familiarity with Google SRE or data reliability engineering principles.
Project Focus Areas: experience in information security datasets (e.g., access management, fraud detection).
Handling clean but sensitive data, including transformations, error handling, and scrubbing.
Supporting business-facing data transformations (DL4/data for reporting).
Cloud Experience: Required, especially in the context of Snowflake/DBT deployments. AI Machine Learning: Some knowledge of fraud models or ML concepts is a plus, but not required.
Certifications in tools like Snowflake or DBT null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
If you have questions about this posting, please contact support@lensa.com
Job Description
This is a unique opportunity to join a high-impact team working on critical data pipelines and transformations that support information security, fraud detection, and access management. Youll work with a modern data stack and gain exposure to cloud technologies, data reliability practices, and business-facing analytics. Data is generally clean, but candidate may handle some transformations, error handling, and sensitive data scrubbing. Role involves working with information security data sets (member and employee access management, external/internal fraud). Some knowledge of fraud models and machine learning is a plus, but not mandatory.
- Build and maintain data pipelines using Snowflake, DBT, and other tools in our stack (e.g., DataStage, Talend, Kafka).
- Support data transformations for reporting (DL4), error handling, and sensitive data scrubbing.
- Collaborate with cross-functional teams to deliver clean, reliable data for internal and external fraud detection and access management.
- Contribute to monitoring and reliability efforts, with opportunities to learn tools like Grafana, Fortuna, and Datadog.
- Work in a cloud-first environment, applying best practices in data engineering and security.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Skills And Requirements
Technical Requirements
Core Technologies: Proficiency with Snowflake and DBT.
Experience with DataStage, Talend, and Kafka (receiving side).
Monitoring & Reliability: Proficient in Grafana, Fortuna, or Datadog for SLO/SLA monitoring.
Familiarity with Google SRE or data reliability engineering principles.
Project Focus Areas: experience in information security datasets (e.g., access management, fraud detection).
Handling clean but sensitive data, including transformations, error handling, and scrubbing.
Supporting business-facing data transformations (DL4/data for reporting).
Cloud Experience: Required, especially in the context of Snowflake/DBT deployments. AI Machine Learning: Some knowledge of fraud models or ML concepts is a plus, but not required.
Certifications in tools like Snowflake or DBT null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
If you have questions about this posting, please contact support@lensa.com
