Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
Develop and implement AWS Glue pipelines that extract, transform and load data into warehouses
Write complex SQL queries for data analysis and stakeholder reports
Develop and maintain Python scripts for automation and data processing
Troubleshoot, debug and enhance existing pipelines and scripts for performance
Implement data quality checks and monitoring to keep data accurate
Develop, and implement data pipelines using amazon glue to extract, transform, and load data into data warehouses.
Write complex sql queries to perform data analysis and create reports for stakeholders.
Develop and maintain python scripts for automation tasks and data processing.
Troubleshoot, debug, and enhance existing data pipelines and scripts for optimal performance.
Ensure data integrity and accuracy by implementing quality checks and monitoring processes.
Knowledge of amazon glue for etl processes and data integration.
Sql skills for data analysis, querying, and manipulation.
Handson knowledge of python programming for automation and data processing.
Knowledge of data warehousing concepts and data modeling.
Familiarity with cloud technologies, especially aws services.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
357 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
Job Summary This position involves working as a Developer with expertise in Amazon Glue, SQL, and Python. The role focuses on developing and maintaining data pipelines, performing data transformations, and coding automation scripts using the specified technologies. Key Responsibilities
2. Write complex sql queries to perform data analysis and create reports for stakeholders. 3. Develop and maintain python scripts for automation tasks and data processing. 4. Collaborate within team to understand business requirements and provide technical solutions.
2. Sql skills for data analysis, querying, and manipulation. 3. Handson knowledge of python programming for automation and data processing. 4. Knowledge of data warehousing concepts and data modeling.
1. Develop, and implement data pipelines using amazon glue to extract, transform, and load data into data warehouses. 2. Write complex sql queries to perform data analysis and create reports for stakeholders. 3. Develop and maintain python scripts for automation tasks and data processing.
1. Knowledge of amazon glue for etl processes and data integration. 2. Sql skills for data analysis, querying, and manipulation. 3. Handson knowledge of python programming for automation and data processing.
4. Knowledge of data warehousing concepts and data modeling. 5. Familiarity with cloud technologies, especially aws services. 6. Analytical mindset with problem-solving skills.
Other Requirements 1.AWS Certified Developer Associate or AWS Certified Big Data Specialty would be a plus.
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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.
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.
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.
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