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Associate 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

Before you apply

New graduates
Entry levelAssociate Data Engineer

What you’ll work on

Full posting
  • Build and configure ETL jobs that move data into the BI environment

  • Design, develop and optimize data models based on business requirements

  • Schedule and run production jobs, handling dependencies and validation

  • Test pipelines and perform peer reviews and documentation

  • Monitor pipelines, troubleshoot data errors and tune performance

From the employer’s posting
Configures and sets up solutions based on pre-approved patterns to move data from operational and external environments to the business intelligence environment.
Design, develop and verify the data model according to the business requirements, and continuously optimize the model.
Executes production-level jobs by considering data dependencies, schedules, validation routines, data stream updates.
Performs unit and system integration testing, on development projects.
Troubleshoot configuration and data errors.

What you’ll bring

All qualifications

Core 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.
Apply at TaskUs

Posting record

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Status in our records
Live
First seen by us
Sep 24, 202641 days ago
Recorded sightings
127
Last seen by us
Nov 4, 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 41

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

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
Hiring record

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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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has TaskUs posted this job before?

Yes. We’ve followed 3 other Associate Data Engineer jobs there since September 2026. All 3 are still up.

  1. PasigStill up after 56 days, first seen Sep 9
  2. Navi MumbaiStill up after 54 days, first seen Sep 11
  3. PasigStill up after 54 days, first seen Sep 11
  4. This jobUp 41 days so far, first seen Sep 24

Large employers often post one title for several teams, so these can be separate openings.

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

View original posting ↗

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.





Job Description


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

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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Location & working pattern

Navi Mumbai, India

Work Location / Work Schedule / Travel: - Site Location: Any TaskUs IND Site (Remote) - Work Setup: Work from Home
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