Pay
In line with similar jobs
$140K–$180K against $127K–$190K, the middle half of what similar US postings state.
From 2,229 postings in the last year. Stated ranges, not salaries paid.
Senior Data Integration Engineer
Remote within the United States.
Actively hiring, first seen by us 4 hours ago- Pay
$140,000–180,000/year · Base — pay source
Compensation & Benefits Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available. Location
Read the full posting- Work setting
Remote — work setting source
Listed location: remote
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
Before you apply
- Work authorization
- Sponsors visas
What you’ll work on
Full postingJoin a small engineering team at a growth-stage logistics software company focused on shipment visibility and risk management for temperature-sensitive goods.
You will own the integrations that turn data from devices, carriers, and customer systems into reliable information teams can act on.
Build and operate ingestion pipelines for device telemetry, carrier milestones, and customer order data using APIs, webhooks, polling, files, and queues.
Monitor pipeline health, build alerts and dashboards, and handle replays or backfills when data is late or incorrect.
From the employer’s posting
Join a small engineering team at a growth-stage logistics software company focused on shipment visibility and risk management for temperature-sensitive goods. You will own the integrations that turn data from devices, carriers, and customer systems into reliable information teams can act on.
About the Role Join a small engineering team at a growth-stage logistics software company focused on shipment visibility and risk management for temperature-sensitive goods. You will own the integrations that turn data from devices, carriers, and customer systems into reliable information teams can act on. What You'll Do
What You'll Do Build and operate ingestion pipelines for device telemetry, carrier milestones, and customer order data using APIs, webhooks, polling, files, and queues. Map and normalize source data into shared shipment and telemetry models, with validation and quality checks throughout the pipeline.
Map and normalize source data into shared shipment and telemetry models, with validation and quality checks throughout the pipeline. Monitor pipeline health, build alerts and dashboards, and handle replays or backfills when data is late or incorrect. Use partner API specifications and sample data to deliver new integrations.
Benefits in the posting
Full benefits wording- Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available.
- Location
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 2026today
- Recorded sightings
- 1
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 0
Early. Similar jobs usually come down between day 6 and day 55.
From 12,976 similar postings that came down. Coming down is not always a hire.
clera is hiring
16 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.
- Python
- SQL
- TypeScript
- AWS
- Azure
- Spark
- Node.js
Where the posting names them
- At least 5 years of experience building production data pipelines or backend data systems, with ownership of external integrations from ingestion through monitoring and support. - Strong Python skills and familiarity with TypeScript or Node.js, or the ability to ramp up quickly. - Proficiency with SQL, data modeling, batch and incremental ETL/ELT, schema mapping, and data quality practices.
- Strong Python skills and familiarity with TypeScript or Node.js, or the ability to ramp up quickly. - Proficiency with SQL, data modeling, batch and incremental ETL/ELT, schema mapping, and data quality practices. - Experience integrating external APIs, including rate limits, retries, and pagination, as well as operating cloud services on Azure or AWS.
- Proficiency with SQL, data modeling, batch and incremental ETL/ELT, schema mapping, and data quality practices. - Experience integrating external APIs, including rate limits, retries, and pagination, as well as operating cloud services on Azure or AWS. - Hands-on experience with testing, CI/CD, monitoring, and observability for production systems.
- Hands-on experience with testing, CI/CD, monitoring, and observability for production systems. - Experience with IoT, telemetry, logistics, regulated data, event-driven systems, or data processing tools such as Spark is a plus. Compensation & Benefits
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
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
About the Role
Join a small engineering team at a growth-stage logistics software company focused on shipment visibility and risk management for temperature-sensitive goods. You will own the integrations that turn data from devices, carriers, and customer systems into reliable information teams can act on.
What You'll Do
Build and operate ingestion pipelines for device telemetry, carrier milestones, and customer order data using APIs, webhooks, polling, files, and queues.
Map and normalize source data into shared shipment and telemetry models, with validation and quality checks throughout the pipeline.
Monitor pipeline health, build alerts and dashboards, and handle replays or backfills when data is late or incorrect.
Use partner API specifications and sample data to deliver new integrations.
Turn one-off integrations into reusable, configuration-driven pipelines.
What We're Looking For
At least 5 years of experience building production data pipelines or backend data systems, with ownership of external integrations from ingestion through monitoring and support.
Strong Python skills and familiarity with TypeScript or Node.js, or the ability to ramp up quickly.
Proficiency with SQL, data modeling, batch and incremental ETL/ELT, schema mapping, and data quality practices.
Experience integrating external APIs, including rate limits, retries, and pagination, as well as operating cloud services on Azure or AWS.
Hands-on experience with testing, CI/CD, monitoring, and observability for production systems.
Experience with IoT, telemetry, logistics, regulated data, event-driven systems, or data processing tools such as Spark is a plus.
Compensation & Benefits
Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available.
Location
Remote within the United States.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation & Benefits Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available. Location
- Location & working pattern
remote
Location Remote within the United States.
- Work authorization
Compensation & Benefits Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available. Location