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.
Pittsburgh, PA
Open 4 months, first seen by us 149 days agoEmployment type Permanent - Full TimeRead the full posting
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
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
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
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
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
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
Complete your application on confluence.pinpointhq.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Senior Data Engineer jobs there since June 2026. All 2 are still up.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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.
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.
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.
Permanent - Full Time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Pittsburgh, PA
Location - Pittsburgh, Boston, Toronto or Montreal (Remote north East US considered) Why Confluence?
We offer flexible working options for all employees. #LI-Hybrid Values
- 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.
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.