Hybrid Data Engineer — Snowflake/Databricks Pipelines

Janus Henderson Investors; Denver (CO); Hybrid; USD 90,000 - 115,000; Full time

Benefits offered by this job

Health and wellbeing benefits

Volunteer time off

Tuition reimbursement

Job summary

Janus Henderson Investors in Denver is seeking a Data Engineer to build and maintain reliable data pipelines on our Data Platform. You will work with stakeholders to deliver integrated data solutions, optimize queries for performance, and apply CI/CD practices to boost reliability.

Join a team with a strong focus on data governance, security, and cost efficiency, supported by growth opportunities, benefits, and a collaborative hybrid work environment.

Qualifications

• Hands-on experience in data engineering and pipeline development using Snowflake and/or Databricks.
• Proficiency in SQL for data manipulation and optimisation 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 (e.g., Airflow, Autosys).
• Good communication and problem-solving skills.

Responsibilities

• Develop and maintain scalable data pipelines using Snowflake, Databricks, and supporting technologies.
• Collaborate with engineers and business stakeholders to deliver integrated data solutions.
• Optimise 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.

Skills

Data engineering

SQL proficiency

Python programming

DevOps basics

Workflow orchestration

Communication skills

Tools

Snowflake

Databricks

Airflow

Autosys

Job description

Janus Henderson Investors in Denver is seeking a Data Engineer to build and maintain reliable data pipelines on our Data Platform. You will work with stakeholders to deliver integrated data solutions, optimize queries for performance, and apply CI/CD practices to boost reliability.

Join a team with a strong focus on data governance, security, and cost efficiency, supported by growth opportunities, benefits, and a collaborative hybrid work environment.