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.
Senior Data Engineer
00505 - Edgewater Park Corporate Office
Open 5 months, first seen by us 157 days ago- Pay
$80,000–105,000/yearAnnual period assumed. Location-specific pay — pay source
Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location. Compensation Range: $80,000.00 - $105,000.00
Read the full posting- 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 ETL to extract, stitch and wrangle first- and third-party data
Guide development of data pipelines for real-time, high-volume data consumption
Design, implement and deploy data loaders into the cloud data platform
Provide ongoing operational support for ETL/ELT environments
Mentor junior members of the team
From the employer’s posting
Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle it
Guide and lead development of data pipelines to enable real-time, high volume, data consumption.
Design, implement, and deploy data loaders to load data into the cloud data platform
Provide ongoing operational support for ETL/ELT environments including development, test, and production
Mentoring junior members of the team
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master’s degree in Computer Science / Engineering, Informatics, or related areas.
- 5+ years of experience in designing and implementing large scale data loading, manipulation, processing, analysis, and exploration solutions
- 5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs
- Understanding of data management principles and processes
- Excellent communication skills
- Experience with Snowflake and Oracle Databases as well as Azure and ADLS.
Preferred experience
- Experience with Informatica IDMC
- Experience with CI/CD practices
- Experience with Python / Java programming languages
- Experience with GenAI and Natural Language Processing (NLP) frameworks
Qualification wording
Bachelor’s or Master’s degree in Computer Science / Engineering, Informatics, or related areas.
5+ years of experience in designing and implementing large scale data loading, manipulation, processing, analysis, and exploration solutions
5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs
Understanding of data management principles and processes
Excellent communication skills
Experience with Snowflake and Oracle Databases as well as Azure and ADLS.
Experience with Informatica IDMC
Experience with CI/CD practices
Experience with Python / Java programming languages
Experience with GenAI and Natural Language Processing (NLP) frameworks
Education & alternatives
Education: - Bachelor’s or Master’s degree in Computer Science / Engineering, Informatics, or related areas. Experience:
Posting record
Report an errorOpen 5 monthsWe first saw this posting 157 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 1, 2026157 days ago
- Recorded sightings
- 286
- Last seen by us
- Nov 5, 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 157
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Burlington Stores’s usual: its jobs come down by about day 60.
From 11,224 similar postings that came down, and 5 of Burlington Stores’s. Coming down is not always a hire.
Burlington Stores is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
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.
- Java
- Python
- SQL
- Azure
- Kafka
- Oracle
- Snowflake
- Spark
Where the posting names them
- Previous experience with DevOps - Experience with Python / Java programming languages - Experience with one or more enterprise scheduler
- 5+ years of experience in designing and implementing large scale data loading, manipulation, processing, analysis, and exploration solutions - Extensive experience developing SQL based data processing - 5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs
- Database Normalization - Advanced SQL skills - Understanding of data management principles and processes
- 5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs - Experience with Snowflake and Oracle Databases as well as Azure and ADLS. - Experience in development & provisioning RESTful APIs to enable real-time data consumption.
- Experience with GenAI and Natural Language Processing (NLP) frameworks - Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming) - Unix / Linux Experience
Your next step
Complete your application on burlington.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Burlington Stores
- People
- About 83,309 in 2026, up 7% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as BURL.
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.
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
Position OverviewCome join our growing team of data practitioners and be on the leading edge of Burlington’s digital transformation! Burlington is seeking a self-driven and highly motivated individual to join a dynamic team with a passion for data, software, and engineering. At Burlington you will have the opportunity to work with the latest technologies in a goal-oriented environment.
The Senior Data Engineer is a member of the Enterprise Data and Analytics team supporting business areas including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics teams with insights gained from analyzing Burlington and external data. The successful candidate will have strong experience pulling data from various internal and external data sources and preparing it for advanced analytics, segmentation, and modeling. Must have strong interpersonal and relationship building skills as well as written and verbal communication skills.A Day in the LifeCompensation Range: $80,000.00 - $105,000.00
The Senior Data Engineer is a member of the Enterprise Data and Analytics team supporting business areas including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics teams with insights gained from analyzing Burlington and external data. The successful candidate will have strong experience pulling data from various internal and external data sources and preparing it for advanced analytics, segmentation, and modeling. Must have strong interpersonal and relationship building skills as well as written and verbal communication skills.A Day in the Life
- Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle it for advanced analytics activities and AI/ML and GenAI uses.
- Guide and lead development of data pipelines to enable real-time, high volume, data consumption.
- Leverage data engineering best practices and tools in collaboration with analytics translators, data scientists, and cloud engineers
- Assist with researching first and third-party data sources to enable access and ensure availability of relevant data sources for those who need it
- Provide input to cloud engineers for the design and implementation of data management and/or architecture solutions
- Provide ongoing operational support for ETL/ELT environments including development, test, and production
- Design, implement, and deploy data loaders to load data into the cloud data platform
- Assist in pulling, filtering, tagging, joining, parsing, and normalizing data sets for use
- Mentoring junior members of the team
Education:
- Bachelor’s or Master’s degree in Computer Science / Engineering, Informatics, or related areas.
Experience:
- 5+ years of experience in designing and implementing large scale data loading, manipulation, processing, analysis, and exploration solutions
- Extensive experience developing SQL based data processing
- 5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs
- Experience with Snowflake and Oracle Databases as well as Azure and ADLS.
- Experience in development & provisioning RESTful APIs to enable real-time data consumption.
- Experience with source control tools such as GitHub and related CI/CD processes.
Skills and Abilities:
- Technical expertise with pulling and massaging data
- Great understanding of first/third party data
- Agile Development methodology
- Database Normalization
- Advanced SQL skills
- Understanding of data management principles and processes
- Passion for data, analytics and pushing business innovation
- Strategic thinker who loves technology and innovation
- Excellent communication skills
- AI-based development for data workflows, data wrangling, and code-assist
Preferred Skills:
- Experience with Informatica IDMC
- Experience with GenAI and Natural Language Processing (NLP) frameworks
- Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming)
- Unix / Linux Experience
- Experience with CI/CD practices
- Previous experience with DevOps
- Experience with Python / Java programming languages
- Experience with one or more enterprise scheduler
- Experience with AI-based testing, experimentation and prototyping
- Retail or CPG experience preferred
#LI-MS1
Come join our team. You’re going to like it here!You will enjoy competitive wages, flexible hours, and an associate discount. Burlington’s benefits package includes medical, dental and vision coverage including life and disability insurance. Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan.
We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity
Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location. Compensation Range: $80,000.00 - $105,000.00
- Location & working pattern
00505 - Edgewater Park Corporate Office
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.