Data Engineer

Janus Henderson • Denver, CO

2d • Hybrid

About The Position

As a Data Engineer, you will build and maintain reliable data pipelines and solutions on the Janus Henderson Data Platform. You will work closely with team members and stakeholders to ensure data quality and support critical business processes. The role includes developing and maintaining scalable pipelines using Snowflake, Databricks, and supporting technologies; collaborating with engineers and business stakeholders on integrated data solutions; and optimizing queries and storage for performance and cost efficiency. You will apply CI/CD and observability practices, ensure data security and compliance with governance standards, support production systems, troubleshoot incidents, and assist with root cause analysis. Other duties may be assigned.

The position uses a hybrid working environment. It includes no supervisory responsibilities and may be eligible for an annual discretionary bonus award funded from the company profit pool. The position will be open through September 30, 2026.

Requirements

• Hands-on experience in data engineering and pipeline development using Snowflake and/or Databricks.
• Proficiency in SQL for data manipulation and optimization on cloud-based platforms.
• Strong Python skills for data processing and automation.
• Basic understanding of DevOps principles and CI/CD practices.
• Familiarity with job orchestration tools such as Airflow or Autosys.
• Good communication and problem-solving skills.

Nice To Haves

• Certifications in Snowflake or Databricks.
• Experience with dbt Core/Cloud for transformation and testing.
• Awareness of Data Mesh principles.
• Exposure to Microsoft Azure services such as Azure Data Factory, Azure Key Vault, or Azure DevOps.
• Knowledge of data governance frameworks and lineage tools.

Responsibilities

• Develop and maintain scalable data pipelines using Snowflake, Databricks, and supporting technologies.
• Collaborate with engineers and business stakeholders to deliver integrated data solutions.
• Optimize queries and storage for performance and cost efficiency.
• Apply CI/CD and observability practices to improve reliability and performance.
• Ensure data security and compliance with governance standards.
• Support production systems, troubleshoot incidents, and assist with root cause analysis.
• Carry out other duties as assigned.

Benefits

• Hybrid working and reasonable accommodations.
• Generous holiday policies.
• Health and wellbeing benefits, including corporate membership to Wellhub.
• Paid volunteer time.
• Professional development courses and tuition/qualification reimbursement.
• Maternal/paternal leave benefits and family services.
• Employee events and programs, including a 14er challenge.
• Complimentary beverages, snacks, and employee Happy Hours.
• Potential eligibility for an annual discretionary bonus award.
• Pension/retirement plans and various health, wellbeing, and lifestyle benefits.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed