Senior Data Engineer

We are experiencing rapid growth and we are seeking a talented Senior Data Engineer to join in driving our product and data platform to technical excellence.

We are the Luxer One Data Engineering Team, an Agile group responsible for building, maintaining, and securing our data platform and pipelines across multiple cloud environments. This position plays a critical role in enabling the company to scale our analytics and insights capabilities, while safeguarding sensitive data.

If you are a Senior Data Engineer with a passion for building robust, secure, and compliant data solutions, have strong SQL and distributed data processing experience, and know your way around cloud infrastructure, then we would love to talk with you. Come join the Luxen Team!

Our stack is based on Amazon Web Services (AWS) and Google Cloud Platform (GCP), utilizing technologies like Postgres, Dagster, Python and BigQuery to deliver scalable, secure, and high-performance data solutions.

As a Senior Data Engineer you will use your knowledge of core data engineering principles, distributed data processing, and cloud infrastructure to design and implement secure, robust data pipelines, support analytics workloads, and ensure the reliability, scalability, and compliance of our data ecosystem.

• Design, develop, and maintain scalable and secure data pipelines and ETL processes using modern data tools.
  

• Architect, implement, and optimize data warehouse solutions in Amazon Redshift and Google BigQuery to support analytics and business intelligence.
  

• Collaborate with software engineering, analytics, and product teams to ensure data models meet business requirements and security standards.
  

• Author and review technical documentation for data pipelines, schemas, workflows, and security controls.
  

• Implement data quality, validation, and monitoring processes to ensure reliable and accurate data.
  

• Apply data security and privacy best practices (encryption at rest/in transit, IAM roles, access controls, and data masking) across all data storage and movement.
  

• Work closely with security teams to ensure pipelines adhere to regulatory and compliance requirements (SOC 2, GDPR, CCPA, etc.).
  

• Support and mentor junior data engineers in best practices, including secure coding and data handling.
  

• Participate in on-call and incident response activities for critical data pipelines.
  

• A team player, highly collaborative with the ability to work cross-functionally across teams.
  

• A strong communicator, both verbally and written.
  

• A self-starter, motivated to learn and innovate in the data engineering space.
  

• Able to learn new software, frameworks, and cloud technologies quickly.
  

• Detail-oriented and well organized.
  

Security-minded with a strong sense of responsibility for protecting sensitive data.

• 5+ years of experience in data engineering or related field.
  

• Strong SQL skills with demonstrable experience building complex queries and optimizing performance on large datasets.
  

• 3+ years hands-on experience building data pipelines with AWS Glue, Apache Spark, or similar ETL frameworks.
  

• 3+ years production experience with Amazon Redshift, Google BigQuery, or other large-scale data warehouses.
  

• Proficiency in Python for data processing and automation.
  

• Strong understanding of cloud infrastructure and security concepts (AWS and/or GCP), including encryption, storage, networking, IAM, and access control.
  

• Experience with data modeling, schema design, and best practices for secure data warehousing.
  

• Experience implementing data security controls such as encryption, key management, access auditing, and data masking.
  

• Experience with data privacy regulations (GDPR, CCPA, or SOC 2 controls) and aligning pipelines to compliance requirements.
  

• Advanced troubleshooting skills including analyzing logs, application monitoring, and driving problem resolution.
  

• Excellent verbal and written communications skills.
  

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field or equivalent combination of education and experience.
  

Perks & Benefits We believe that taking care of our team means more than just a paycheck. That’s why we offer a well-rounded benefits package designed to support your health, growth, and work-life balance. Our offerings include comprehensive medical, dental, and vision coverage, a 401(k) plan with employer match to help you invest in your future, and tuition reimbursement to keep your career moving forward. You’ll also enjoy paid vacation and sick time, giving you the flexibility to recharge and take care of what matters most.