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Senior Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Permanent — employment source
Employment type Permanent - Full Time
Read the full posting

Before you apply

Work authorization
US citizens or permanent residents onlyIf applying in the US we will only consider applications from those who have permanent residency as a US citizen or a Green Card holder

What you’ll work on

Full posting
  • Design and deliver scalable data solutions

  • Own key components of the data platform

  • Build reliable, high-quality data pipelines

  • Contribute to architectural decisions

  • Mentor other engineers and share knowledge

From the employer’s posting
help design and deliver scalable data solutions that power decision-making across the organization
take ownership of key components of the data platform
build reliable, high-quality data pipelines
contribute to architectural decisions
support the growth of other engineers through mentorship and knowledge sharing

What you’ll bring

All qualifications

Core experience

  • Solid Python experience in a data engineering environment
  • Advanced SQL skills and hands-on experience with Snowflake
  • Experience designing and running production-grade ETL pipelines at scale
  • Exposure to cloud platforms such as AWS, Azure, or GCP
  • Ownership of work end-to-end, from design through deployment and monitoring
Qualification wording
Solid Python experience in a data engineering environment
Advanced SQL skills and hands-on experience with Snowflake
Experience designing and running production-grade ETL pipelines at scale
Exposure to cloud platforms such as AWS, Azure, or GCP
Ability to take ownership of work end-to-end, from design through to deployment and monitoring
Apply at Confluence

Posting record

Report an error

Open 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 9, 2026149 days ago
Recorded sightings
69
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 149

Up longer than most. Similar jobs usually come down between day 6 and day 54.

Well past Confluence’s usual: its jobs come down by about day 27.

From 11,184 similar postings that came down, and 5 of Confluence’s. Coming down is not always a hire.

Confluence is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
  • 14% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Snowflake
  • Airflow
Where the posting names them
Essential Experience - Solid Python experience in a data engineering environment - Advanced SQL skills and hands-on experience with Snowflake
- Solid Python experience in a data engineering environment - Advanced SQL skills and hands-on experience with Snowflake - Experience designing and running production-grade ETL pipelines at scale
- Experience designing and running production-grade ETL pipelines at scale - Exposure to cloud platforms such as AWS, Azure, or GCP - Ability to take ownership of work end-to-end, from design through to deployment and monitoring
- Experience working with financial or regulated data environments - Familiarity with orchestration tools such as Airflow or AWS Step Functions - Exposure to streaming or near real-time data pipelines

Your next step

Complete your application on confluence.pinpointhq.com. The employer’s form will show what is required.

Applying through Pinpoint

  • Only .pdf and .docx are accepted. Older .doc files are turned away.

Already applied? Track this application

Has Confluence posted this job before?

Yes. We’ve followed 2 other Senior Data Engineer jobs there since June 2026. All 2 are still up.

  1. TorontoStill up after 149 days, first seen Jun 9
  2. This jobUp 149 days so far, first seen Jun 9
  3. MontrealStill up after 37 days, first seen Sep 29

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Location - Pittsburgh, Boston, Toronto or Montreal (Remote north East US considered)
 
Why Confluence? 

At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.

More about the role & team

We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.

You’ll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable code.

Why Join Us?

  • Work on meaningful data challenges that have real business impact
  • Collaborate with a supportive and knowledgeable team
  • Opportunity to influence architecture and engineering standards
  • Grow your leadership skills through mentoring and project ownership

If applying in the US we will only consider applications from those who have permanent residency as a US citizen or a Green Card holder. 

Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices.

What skills and experience do I need to succeed?

Essential Experience
  • Solid Python experience in a data engineering environment
  • Advanced SQL skills and hands-on experience with Snowflake
  • Experience designing and running production-grade ETL pipelines at scale
  • Exposure to cloud platforms such as AWS, Azure, or GCP
  • Ability to take ownership of work end-to-end, from design through to deployment and monitoring

Nice to Have

  • Experience working with financial or regulated data environments
  • Familiarity with orchestration tools such as Airflow or AWS Step Functions
  • Exposure to streaming or near real-time data pipelines

What do we offer?

Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:

🕚 Generous Time Off packages including additional half days with each public holiday in your location.
🌎  Global Career Development opportunities
🎊 Social Events 
💵 Referral Bonus scheme - Upto $3,000 per successful referral
🚀  Plus many more!
 
More about the Location
We offer flexible working options for all employees.

 #LI-Hybrid 
 
Values
We look for people who align with our 4 values. 
 
Integrity
Face reality with honesty, courage and accountability
Imagination
Deal creatively with challenges and envision what the world could be
Discipline
Build good habits into reflexes which become a part of our life
Service
Committed to the success of others

If you would like to find out more about a Career at Confluence, please apply today.

If you believe that this job posting is noncompliant, please email us at recruitment@confluence.com.


AI Friendly Interview Process
We recognise that AI tools are becoming a standard part of how many people work. Candidates are welcome to use AI throughout our interview process.

If you choose to use AI during an interview or assessment, we may ask you to share your screen so that we can better understand your thinking, decision making and approach to using the technology. 

Our aim is to assess your skills, experience, judgement and problem solving abilities, including how you make use of modern tools in a professional setting.

Pre-Employment Screening Disclaimer
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.

Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.

Employment type

Permanent - Full Time

Source details

View original posting ↗

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Pay

No pay amount identified in the saved description.

Location & working pattern

Pittsburgh, PA

Location - Pittsburgh, Boston, Toronto or Montreal (Remote north East US considered) Why Confluence?
More source context
We offer flexible working options for all employees. #LI-Hybrid Values
Work authorization
- Grow your leadership skills through mentoring and project ownership If applying in the US we will only consider applications from those who have permanent residency as a US citizen or a Green Card holder. Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices.
More source context
Our aim is to assess your skills, experience, judgement and problem solving abilities, including how you make use of modern tools in a professional setting. Pre-Employment Screening Disclaimer As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening. Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.

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