Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At TaskUs, jobs usually come down by about day 5.
From 11,172 similar postings that came down, and 35 of TaskUs’s. Coming down is not always a hire.
Associate Data Engineer
Navi Mumbai, India
Actively hiring, first seen by us today- 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 postingDesign, develop and verify the data model according to the business requirements, and continuously optimize the model.
Collaborate with technical users to define data requirements & establish business rules to be applied
Collaborate with key business stakeholders to deliver and continually enhance the BI platform to provide relevant and accurate insights through the delivery of new datasets
From the employer’s posting
Configure and Deploy automation of jobs based on pre-approved and reusable patterns framework.Executes production-level jobs by considering data dependencies, schedules, validation routines, data stream updates. Design, develop and verify the data model according to the business requirements, and continuously optimize the model. Collaborate with technical users to define data requirements & establish business rules to be applied
Design, develop and verify the data model according to the business requirements, and continuously optimize the model. Collaborate with technical users to define data requirements & establish business rules to be applied Collaborate with key business stakeholders to deliver and continually enhance the BI platform to provide relevant and accurate insights through the delivery of new datasets
Collaborate with technical users to define data requirements & establish business rules to be applied Collaborate with key business stakeholders to deliver and continually enhance the BI platform to provide relevant and accurate insights through the delivery of new datasets Test- Validate and verify the data model according to the business requirements, and continuously optimize the model.
What you’ll bring
All qualificationsCore experience
- Strong knowledge of Data Warehousing concepts with understanding of traditional and MPP database designs, star and snowflake schemas with at least 2 years of data modeling.
- Bachelor's/College Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or 4-8 years experience in place of a degree.
- Knowledge on the architecture, design and implementation of MPP Databases such as Teradata, Snowflake or Redshift.
- 3-year development using Cloud-based analytics solutions preferable AWS or GCP.
- Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment.
Preferred experience
- Experience of using Python in a cloud-based environment is preferred.
- Knowledge on NoSQL DBs is preferred.
- Knowledge, experience and exposure to AI tools is preferred but not required.
Qualification wording
Strong knowledge of Data Warehousing concepts with understanding of traditional and MPP database designs, star and snowflake schemas with at least 2 years of data modeling.
Bachelor's/College Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or 4-8 years experience in place of a degree.
Knowledge on the architecture, design and implementation of MPP Databases such as Teradata, Snowflake or Redshift.
3-year development using Cloud-based analytics solutions preferable AWS or GCP.
Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment.
Experience of using Python in a cloud-based environment is preferred.
Knowledge on NoSQL DBs is preferred.
Knowledge, experience and exposure to AI tools is preferred but not required.
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 5, 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
TaskUs is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
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
- AWS
- Fivetran
- GCP
- Kafka
- NoSQL
- Redshift
- S3
- Snowflake
- Spark
- Airflow
Where the posting names them
- At least 2 years of experience in Data Engineering. - Knowledgeable with Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration. - Strong knowledge of Data Warehousing concepts with understanding of traditional and MPP database designs, star and snowflake schemas with at least 2 years of data modeling.
- Knowledgeable in Database Tuning and ETL tuning. - Experience of using Python in a cloud-based environment is preferred. - Knowledge on NoSQL DBs is preferred.
- Knowledge on the architecture, design and implementation of MPP Databases such as Teradata, Snowflake or Redshift. - 3-year development using Cloud-based analytics solutions preferable AWS or GCP. - Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment.
- Strong knowledge of Data Warehousing concepts with understanding of traditional and MPP database designs, star and snowflake schemas with at least 2 years of data modeling. - At least 2 years of hands-on development experience using ETL Tools such as Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow. - Knowledge on the architecture, design and implementation of MPP Databases such as Teradata, Snowflake or Redshift.
- 3-year development using Cloud-based analytics solutions preferable AWS or GCP. - Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment. - Knowledgeable in Database Tuning and ETL tuning.
- Experience of using Python in a cloud-based environment is preferred. - Knowledge on NoSQL DBs is preferred. - Knowledge, experience and exposure to AI tools is preferred but not required.
- At least 2 years of hands-on development experience using ETL Tools such as Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow. - Knowledge on the architecture, design and implementation of MPP Databases such as Teradata, Snowflake or Redshift. - 3-year development using Cloud-based analytics solutions preferable AWS or GCP.
Your next step
Complete your application on taskus.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
Has TaskUs posted this job before?
Yes. We’ve followed 4 other Associate Data Engineer jobs there since September 2026. One came down after 54 days. 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About TaskUs
- People
- About 40,100 in 2021.Annual report (SEC Form 10-K)
- Company
- Listed as TASK.
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
About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.
The People First culture at TaskUs has enabled the company to expand its workforce to approximately 60,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.
It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.
What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.
Associate Data Engineer
About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.
TaskUs People First culture has grown the company to have approximately 65K employees worldwide. We are currently in twenty-three locations across twelve countries, including the Philippines, India, and the United States.
It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.
What We Offer: TaskUs provides world-class benefit packages with competitive industry salaries to all its employees. With well-developed departments, such as Total Rewards, Wellness, HR, and Diversity, we continuously thrive in supporting a People First culture. We are known for our inclusiveness and community impact. We also promote internal mobility and professional development at every step of an employee's career within TaskUs. Come be part of TaskUs that supports People First by applying today!
What can you expect in an Associate Data Engineer role with TaskUs:
So what does an Associate Data Engineer do? Think of yourself as someone responsible for designing, developing, and maintaining data pipelines, and data warehouses for use by the analytics infrastructure, so not just anyone is qualified for this role! We make sure we get the best of the best, after all, we are a ridiculously good company so we make sure our employees are top-notch. So come on, now we need your full concentration because it’s time to imagine what it’s like being an Associate Data Engineer.
Imagine yourself going to work with one thing on your mind: you will assist in making accurate and meaningful data available for consumption of TaskUs Business Intelligence reporting methodology. As you tackle your new tasks for the day, you know that it will lead to one thing: that everything you do is to meet an enterprise’s data delivery, business analysis, and reporting needs.
Key Responsibilities:
As an Associate Data Engineer, you will:
- Configure
- Configures and sets up solutions based on pre-approved patterns to move data from operational and external environments to the business intelligence environment.
- Management of data integration & ETL jobs – consolidation, aggregation, filtering, validation, data quality routines, dimension creation, etc.
- Configure and Deploy automation of jobs based on pre-approved and reusable patterns framework.Executes production-level jobs by considering data dependencies, schedules, validation routines, data stream updates.
- Design, develop and verify the data model according to the business requirements, and continuously optimize the model.
- Collaborate with technical users to define data requirements & establish business rules to be applied
- Collaborate with key business stakeholders to deliver and continually enhance the BI platform to provide relevant and accurate insights through the delivery of new datasets
- Test
- Validate and verify the data model according to the business requirements, and continuously optimize the model.
- Performs unit and system integration testing, on development projects.
- Undertaking peer reviews, assisting with testing, and ensuring documentation is current.
- Monitor
- Monitor Error Handling and Logging tools and processes. Troubleshoot configuration and data errors.
- Monitor Performance and raise appropriate flags.
- Identify opportunities to optimize the ETL environment, and implement monitoring, quality, and validation processes to ensure data accuracy and integrity.
Qualifications:
- At least 2 years of experience in Data Engineering.
- Knowledgeable with Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration.
- Strong knowledge of Data Warehousing concepts with understanding of traditional and MPP database designs, star and snowflake schemas with at least 2 years of data modeling.
- At least 2 years of hands-on development experience using ETL Tools such as Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow.
- Knowledge on the architecture, design and implementation of MPP Databases such as Teradata, Snowflake or Redshift.
- 3-year development using Cloud-based analytics solutions preferable AWS or GCP.
- Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment.
- Knowledgeable in Database Tuning and ETL tuning.
- Experience of using Python in a cloud-based environment is preferred.
- Knowledge on NoSQL DBs is preferred.
- Knowledge, experience and exposure to AI tools is preferred but not required.
- Someone who has the ability to work effectively across internal functional areas in ambiguous situations.
- Someone who is a structured thinker and effective communicator.
Education / Certifications:
- Bachelor's/College Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or 4-8 years experience in place of a degree.
Work Location / Work Schedule / Travel:
- Site Location: Any TaskUs IND Site (Remote)
- Work Setup: Work from Home
- Work Schedule: 5:30 PM to 2:30 AM IST (can change depending on business needs)
How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.
DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.
We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Navi Mumbai, India
Work Location / Work Schedule / Travel: - Site Location: Any TaskUs IND Site (Remote) - Work Setup: Work from Home
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.