Time since we first saw it
Day 79
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,247 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer
- Pay
- Pay not listed
- 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 postingTurn business analytics needs into optimized, highly available data pipelines
Expand the data warehouse and data pipelines using the ELT stack
Design and build reliable, scalable ELT/ETL pipelines from the ground up
Maintain and support existing data systems
Help technical and non-technical users drive their own analytics and reporting
From the employer’s posting
turning those requirements into optimized and highly available data pipelines
The role will focus on expanding our data warehouse and data pipelines through use of our ELT stack
designing and developing reliable and scalable ELT/ETL pipelines from the ground up
maintaining/supporting existing systems
Empower technical and non-technical internal customers to drive their own analytics and reporting
What you’ll bring
All qualificationsCore experience
- Demonstrated experience in designing and developing reliable and scalable ELT/ETL pipelines from the ground up and maintaining/supporting existing systems
- Experience with enterprise level RDBMS and an expert in SQL
- Understanding of data models and data warehouse concepts
- Proficiency in programming/scripting languages (Python/R)
Preferred experience
- Bachelor's degree in information technology, statistics, mathematics, science, or equivalent experience.
- 5+ years of experience in a Data Engineer or similar role
- Ability to work with unstructured data
- Understanding of statistical data analysis, modeling, and machine learning
Qualification wording
Demonstrated experience in designing and developing reliable and scalable ELT/ETL pipelines from the ground up and maintaining/supporting existing systems
Experience with enterprise level RDBMS and an expert in SQL
Understanding of data models and data warehouse concepts
Proficiency in programming/scripting languages (Python/R)
Bachelor's degree in information technology, statistics, mathematics, science, or equivalent experience.
5+ years of experience in a Data Engineer or similar role
Ability to work with unstructured data
Understanding of statistical data analysis, modeling, and machine learning
Education & alternatives
Preferred Qualifications - Bachelor's degree in information technology, statistics, mathematics, science, or equivalent experience. - 5+ years of experience in a Data Engineer or similar role
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 19, 202679 days ago
- Recorded sightings
- 119
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Aug 17, 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
Specialized is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 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.
- Python
- R
- SQL
- AWS
- Power BI
- Snowflake
- Tableau
Where the posting names them
- Understanding of data models and data warehouse concepts - Proficiency in programming/scripting languages (Python/R) - Demonstrated passion for analyzing and understanding complex data sets
- Empower technical and non-technical internal customers to drive their own analytics and reporting through written and verbal communication skills - Experience with enterprise level RDBMS and an expert in SQL - Understanding of data models and data warehouse concepts
- Proficiency in visualization tools such as Tableau or Power BI - Previous experience with modern public cloud-based data stack, including AWS, Snowflake, Matillion, Tableau - Data architecture experience a plus
- Understanding of statistical data analysis, modeling, and machine learning - Proficiency in visualization tools such as Tableau or Power BI - Previous experience with modern public cloud-based data stack, including AWS, Snowflake, Matillion, Tableau
Your next step
Complete your application on specialized.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- “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
Has Specialized posted this job before?
Yes. We’ve followed 2 other Senior Data Engineer jobs there since May 2026. One came down after 101 days. One is still up.
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
Senior Data Engineer
Summary
At Specialized, data is essential in modernizing our business. From delivering best-in-class physical product to developing a world-class rider experience, data engineers at Specialized build data pipelines that efficiently and reliably move data across systems to power this modernization.
Specialized is seeking a motivated and talented Data Engineer to join our Data Engineering Team. This role, reporting to the Data and Analytics Team, will be responsible for understanding business analytics needs and requirements and then turning those requirements into optimized and highly available data pipelines to be used throughout the business to facilitate deeper analysis and reporting. The role will focus on expanding our data warehouse and data pipelines through use of our ELT stack. To be successful in this role, applicants must be comfortable working with a variety of stakeholders and learning on the job. Data engineering experience and strong communication skills are a must. In this role, you will be exposed to a wide variety of cloud-based best-of-breed technologies and help accelerate the growth of analytics at a leading brand in the outdoor industry.
Essential Skills
- Highly organized, ability to stay on track and meet deadlines in a fast-paced work environment with competing priorities
- Demonstrated experience in designing and developing reliable and scalable ELT/ETL pipelines from the ground up and maintaining/supporting existing systems
- Empower technical and non-technical internal customers to drive their own analytics and reporting through written and verbal communication skills
- Experience with enterprise level RDBMS and an expert in SQL
- Understanding of data models and data warehouse concepts
- Proficiency in programming/scripting languages (Python/R)
- Demonstrated passion for analyzing and understanding complex data sets
Preferred Qualifications
- Bachelor's degree in information technology, statistics, mathematics, science, or equivalent experience.
- 5+ years of experience in a Data Engineer or similar role
- Ability to work with unstructured data
- Understanding of statistical data analysis, modeling, and machine learning
- Proficiency in visualization tools such as Tableau or Power BI
- Previous experience with modern public cloud-based data stack, including AWS, Snowflake, Matillion, Tableau
- Data architecture experience a plus
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Brazil
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.