Junior Data Engineer

Janus Henderson Investors

Denver, USonsite$80k-$85k/yrPosted Jul 9, 2026
Posting intelligenceActively listed

Skills

databrickssnowflakeairflowpythonazurecicddbt

About the role

City: Denver

Division: Technology Delivery

Why work for us?

A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.

Our Values are key to driving our success, and are at the heart of everything we do:

Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust

If our mission, values, and purpose align with your own, we would love to hear from you!

Your opportunity

As a Junior Data Engineer, you will support the development and maintenance of data pipelines and solutions on the Janus Henderson Data Platform. Working as part of a collaborative engineering team, you will build your technical skills while contributing to delivering high‑quality, reliable data to the business.

You will learn how to design, build, and support modern data pipelines, while gaining exposure to cloud data platforms, engineering best practices, and financial data domains.

Assist in building and maintaining data pipelines using Snowflake, Databricks, and related technologies (with support from senior engineers)

Work with other engineers and business stakeholders to understand data requirements and deliver solutions

Write and optimise SQL queries to transform and validate data

Contribute to Python-based data processing and automation tasks

Follow team standards for CI/CD, testing, and observability to ensure data quality and pipeline reliability

Support production systems, including monitoring jobs, investigating issues, and assisting with root cause analysis

Apply data governance and security standards in line with firm policies

Participate actively in team ceremonies (e.g., stand-ups, sprint planning, retrospectives)

Carry out other duties as assigned.

What to expect when you join our firm

Hybrid working and reasonable accommodations

Generous Holiday policies

Excellent Health and Wellbeing benefits including corporate membership to Wellhub

Paid volunteer time to step away from your desk and into the community

Support to grow through professional development courses, tuition/qualification reimbursement and more

Maternal/paternal leave benefits and family services

Unique employee events and programs including a 14er challenge

Complimentary beverages, snacks and all employee Happy Hours

Must have skills

Foundational knowledge of data engineering or data processing concepts

Basic proficiency in SQL (e.g., querying, joins, aggregations)

Working knowledge of Python for data tasks (or willingness to learn quickly)

Understanding of data pipelines or ETL/ELT concepts

Strong problem-solving skills and attention to detail

Good communication skills and willingness to learn from others

Nice to have skills

Exposure (academic or practical) to Snowflake, Databricks, or other cloud data platforms

Familiarity with dbt or similar transformation tools

Awareness of CI/CD or version control (e.g., Git)

Exposure to orchestration tools (e.g., Airflow, Autosys)

Basic understanding of data governance or data quality concepts

Experience with Azure or other cloud platforms

Supervisory responsibilities

No

Potential for growth

Mentoring

Leadership development programs

Regular training

Career development services

Continuing education courses

Compensation information

The base salary range for this position is $80,000-$85,000. This range is estimated for this role. Actual pay may be different. This position will be open through August 31, 2026.

Colorado law requires an estimated closing date for job postings. Please don't be discouraged from applying if you see this date has passed.

At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request, we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.

Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.

Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits.

Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).

You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.

You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

Nearest Major Market: Denver

Compensation

This Data Engineer role pays $80k-$85k/yr. Within typical range for data engineer roles in United States.

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