Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Senior Databricks Data Engineer
Miami, FL, US
Actively hiring, first seen by us 10 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign and develop scalable enterprise data integration solutions
Build production-grade ETL/ELT pipelines
Own the engineering lifecycle from design through deployment
Solve technical problems and take ownership of deliverables
From the employer’s posting
design, develop and implement scalable enterprise data integration solutions
demonstrated experience building production grade ETL/ELT pipelines
independently owning the entire engineering lifecycle, from solution design and technical review through development, testing, deployment and implementation
takes ownership of deliverables, works independently, solves technical problems
What you’ll bring
All qualificationsCore experience
- Strong Databricks and Apache Spark expertise
- Demonstrated experience building production-grade ETL/ELT pipelines
- Works independently and takes ownership of deliverables
Preferred experience
- Experience with AWS, Azure or GCP (acceptable, no provider preference)
Qualification wording
strong Databricks and Apache Spark expertise
demonstrated experience building production grade ETL/ELT pipelines
works independently, solves technical problems
Experience with AWS, Azure or GCP is acceptable, with no preference for a specific cloud provider.
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 202610 days ago
- Recorded sightings
- 9
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Oct 30, 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 10
Similar jobs usually come down between day 6 and day 56.
From 13,745 similar postings that came down. Coming down is not always a hire.
CGI is hiring
115 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.
- AWS
- Azure
- Databricks
- GCP
- Spark
Where the posting names them
CGI is seeking an experienced, hands on Senior Databricks Data Engineer to design, develop and implement scalable enterprise data integration solutions. The ideal candidate will have strong Databricks and Apache Spark expertise, with demonstrated experience building production grade ETL/ELT pipelines. This individual must be capable of independently owning the entire engineering lifecycle, from solution design and technical review through development, testing, deployment and implementation. We are looking for a proactive engineer who takes ownership of deliverables, works independently, solves technical problems and collaborates effectively with architects, engineers and business stakeholders. Databricks expertise and hands on pipeline development are the highest technical priorities. Experience with AWS, Azure or GCP is acceptable, with no preference for a specific cloud provider. *This position is located in Miami, FL in a hybrid working environment.
Your next step
Complete your application on cgi.njoyn.com. The employer’s form will show what is required.
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
CGI is seeking an experienced, hands on Senior Databricks Data Engineer to design, develop and implement scalable enterprise data integration solutions.
The ideal candidate will have strong Databricks and Apache Spark expertise, with demonstrated experience building production grade ETL/ELT pipelines. This individual must be capable of independently owning the entire engineering lifecycle, from solution design and technical review through development, testing, deployment and implementation.
We are looking for a proactive engineer who takes ownership of deliverables, works independently, solves technical problems and collaborates effectively with architects, engineers and business stakeholders.
Databricks expertise and hands on pipeline development are the highest technical priorities. Experience with AWS, Azure or GCP is acceptable, with no preference for a specific cloud provider.
*This position is located in Miami, FL in a hybrid working environment.
The ideal candidate will have strong Databricks and Apache Spark expertise, with demonstrated experience building production grade ETL/ELT pipelines. This individual must be capable of independently owning the entire engineering lifecycle, from solution design and technical review through development, testing, deployment and implementation.
We are looking for a proactive engineer who takes ownership of deliverables, works independently, solves technical problems and collaborates effectively with architects, engineers and business stakeholders.
Databricks expertise and hands on pipeline development are the highest technical priorities. Experience with AWS, Azure or GCP is acceptable, with no preference for a specific cloud provider.
*This position is located in Miami, FL in a hybrid working environment.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Miami, FL, US
CGI is seeking an experienced, hands on Senior Databricks Data Engineer to design, develop and implement scalable enterprise data integration solutions. The ideal candidate will have strong Databricks and Apache Spark expertise, with demonstrated experience building production grade ETL/ELT pipelines. This individual must be capable of independently owning the entire engineering lifecycle, from solution design and technical review through development, testing, deployment and implementation. We are looking for a proactive engineer who takes ownership of deliverables, works independently, solves technical problems and collaborates effectively with architects, engineers and business stakeholders. Databricks expertise and hands on pipeline development are the highest technical priorities. Experience with AWS, Azure or GCP is acceptable, with no preference for a specific cloud provider. *This position is located in Miami, FL in a hybrid working environment.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.