Pay
In line with similar jobs
$130K–$160K against $127K–$190K, the middle half of what similar US postings state.
From 2,232 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer
New York, New York, United States
Live, first seen by us 47 days ago- Pay
USD 130,000–160,000/yearAnnual period assumed — pay source
Salary range transparency $130,000—$160,000 USD At TripleLift, we believe great work starts with great people. We foster a culture built on collaboration, curiosity, and a shared commitment to making each other better. We move with urgency, challenge convention, and continuously innovate to elevate digital advertising. We value people who bring new perspectives, take ownership, and work together to drive meaningful impact. Learn more about TripleLift and our culture on our LinkedIn Life page.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingCreate and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet business requirements
Automate manual processes and redesign infrastructure for scalability
Build extraction, transformation and loading infrastructure using Spark, EMR and Kafka
Support product, engineering and analytics teams with data infrastructure needs
From the employer’s posting
Create and maintain optimal data pipeline architecture
Explore and assemble large, complex data sets that meet functional / non-functional business requirements.
automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Spark, EMR, Kafka and other big data technologies
Work with stakeholders across different teams, including product managers, engineers and analysts to assist with data-related technical issues and support their data infrastructure needs.
Education & alternatives
Education & Requirements - Bachelor’s degree in Computer Science, a related technical field, or equivalent professional experience. - Minimum of 5 years of professional software engineering experience, with a strong focus on data and ML processes running in production at scale.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 23, 202647 days ago
- Recorded sightings
- 31
- Last seen by us
- Nov 9, 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
Time since we first saw it
Day 47
Similar jobs usually come down between day 5 and day 54.
From 12,127 similar postings that came down. Coming down is not always a hire.
TripleLift is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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.
- Java
- Python
- Scala
- SQL
- ClickHouse
- Kafka
- MLflow
- Spark
Where the posting names them
- Proven track record of cross-functional data modeling - Strong command of SQL and expertise in one or familiarity with multiple of the following languages: Python, Scala, Java - Experience in containerization, K8s and ArgoCD is a plus
- Fundamental knowledge of ML and AI operations and processes. Experience in MLFlow, Feast, Ray, and other AI training technologies a plus - Understanding of a variety of database technologies such as OpenSearch, Druid, Clickhouse, InfluxDB, etc - Proven track record of cross-functional data modeling
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Spark, EMR, Kafka and other big data technologies - Work with stakeholders across different teams, including product managers, engineers and analysts to assist with data-related technical issues and support their data infrastructure needs.
- Minimum of 5 years of professional software engineering experience, with a strong focus on data and ML processes running in production at scale. - Experience with optimizing big data and ML pipelines like Spark and Kafka at scale - Fundamental knowledge of ML and AI operations and processes. Experience in MLFlow, Feast, Ray, and other AI training technologies a plus
- Experience with optimizing big data and ML pipelines like Spark and Kafka at scale - Fundamental knowledge of ML and AI operations and processes. Experience in MLFlow, Feast, Ray, and other AI training technologies a plus - Understanding of a variety of database technologies such as OpenSearch, Druid, Clickhouse, InfluxDB, etc
Your next step
Complete your application on triplelift.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has TripleLift posted this job before?
Yes. We’ve followed 2 other Senior Data Engineer jobs there since September 2026. All 2 are still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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
TripleLift is the Creative SSP powered by TL Spark, our agentic intelligence layer. We orchestrate creative, supply, audience, and measurement into a single outcome-driven system across the open internet, retail media, and CTV. Our platform enables brands and agencies to drive measurable performance while helping publishers maximize yield and preserve high-quality user experiences.
Overview
TripleLift is seeking a Senior Data Engineer to join a small, influential Data Engineering team. This hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Senior Data Engineer will support our software engineers, product managers, business intelligence analysts and data scientists on data initiatives, and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Responsibilities
- Create and maintain optimal data pipeline architecture,
- Explore and assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Spark, EMR, Kafka and other big data technologies
- Work with stakeholders across different teams, including product managers, engineers and analysts to assist with data-related technical issues and support their data infrastructure needs.
Education & Requirements
- Bachelor’s degree in Computer Science, a related technical field, or equivalent professional experience.
- Minimum of 5 years of professional software engineering experience, with a strong focus on data and ML processes running in production at scale.
- Experience with optimizing big data and ML pipelines like Spark and Kafka at scale
- Fundamental knowledge of ML and AI operations and processes. Experience in MLFlow, Feast, Ray, and other AI training technologies a plus
- Understanding of a variety of database technologies such as OpenSearch, Druid, Clickhouse, InfluxDB, etc
- Proven track record of cross-functional data modeling
- Strong command of SQL and expertise in one or familiarity with multiple of the following languages: Python, Scala, Java
- Experience in containerization, K8s and ArgoCD is a plus
US Jobs: The base salary range represents the low and high end of the TripleLift US salary range for this position. Actual salaries will vary depending on factors including but not limited to experience and performance. The range listed is just one component of TripleLift’s total compensation package for employees. Other rewards may include bonuses, an open Paid Time Off policy, and many region-specific benefits.
Pay is based on various non-discriminatory factors including but not limited to experience, education, and skills.
Benefits Available to Eligible Employees Include the following*:
- Medical, Dental & Vision Plans
- Flexible PTO
- 401k w/ employer match
*Full-time employees are eligible for comprehensive benefits (subject to the terms of applicable plans/policies/agreements, which will be made available to you after commencing employment).
Salary range transparency
$130,000—$160,000 USD
At TripleLift, we believe great work starts with great people. We foster a culture built on collaboration, curiosity, and a shared commitment to making each other better. We move with urgency, challenge convention, and continuously innovate to elevate digital advertising. We value people who bring new perspectives, take ownership, and work together to drive meaningful impact. Learn more about TripleLift and our culture on our LinkedIn Life page.
Please review our Privacy Policy for information about how TripleLift handles personal information.
TripleLift does not accept unsolicited resumes from recruitment search firms. Any resume submitted without a signed agreement in place will become the property of TripleLift, and no fee will be due.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary range transparency $130,000—$160,000 USD At TripleLift, we believe great work starts with great people. We foster a culture built on collaboration, curiosity, and a shared commitment to making each other better. We move with urgency, challenge convention, and continuously innovate to elevate digital advertising. We value people who bring new perspectives, take ownership, and work together to drive meaningful impact. Learn more about TripleLift and our culture on our LinkedIn Life page.
- Location & working pattern
New York, New York, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.