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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 posting
  • Develop, deploy and maintain scalable ETL/ELT pipelines in GCP

  • Tune BigQuery performance with partitioning, clustering and materialized views

  • Deploy pipeline code and infrastructure with Terraform and CircleCI

  • Add logging, alerting and data quality checks to pipelines

  • Help implement BigLake components for unified data governance

From the employer’s posting
Develop, deploy, and maintain scalable ETL/ELT pipelines in GCP
Implement and utilize BigQuery features like Partitioning, Clustering, and Materialized Views
Utilize Terraform and CircleCI for deploying and managing pipeline code and related infrastructure
Implement robust logging, alerting, and data quality checks within pipelines
Assist in the implementation of BigLake components to ensure structured and unstructured data is accessible with unified governance

Tools in this posting

  • Python
  • SQL
  • BigQuery
  • GCP
  • Snowflake
  • Terraform
  • PySpark
Source — Tool mentions in context
Key Responsibilities The Data Engineer will primarily focus on the development, deployment, and operational maintenance of the data pipelines. ● Pipeline Development & Maintenance: Develop, deploy, and maintain scalable ETL/ELT pipelines in GCP using Cloud Composer and PySpark on Dataproc following established architectural patterns. ● Performance Optimization: Implement and utilize BigQuery features like Partitioning, Clustering, and Materialized Views to improve query performance and contribute to GCP cost management. ● Data Integration: Assist in the implementation of BigLake components to ensure structured and unstructured data is accessible with unified governance. ● Code & Infrastructure Deployment: Utilize Terraform and CircleCI for deploying and managing pipeline code and related infrastructure to ensure a modular and reproducible environment. ● Data Operations & Monitoring: Implement robust logging, alerting, and data quality checks within pipelines to actively monitor data flow and ensure data reliability. ● Collaboration: Work with senior engineers and cross-functional teams to understand business requirements and translate them into efficient data solutions. ● Skill Development: Proactively seek out and learn new GCP services and tools to enhance data processing capabilities. Skills & Competencies ● Experience: Mid Level - 2 - 4 years of hands-on Data Engineering experience. ● GCP Proficiency: Solid knowledge of GCP services with a focus on BigQuery, DataForm, Cloud Composer, Cloud Storage, Cloud functions and Dataproc. ● Transformation Tools: Proficiency in Dataform for managing version-controlled SQL workflows and modeling within BigQuery. ● Strong Coding: Excellent Python and SQL skills. You write modular code that is easy to test and maintain. ● Architectural Knowledge: Solid understanding of Data Modeling (Star Schema, Snowflake) and Data Operations. ● Automation Mindset: Experience with CI/CD tools and Infrastructure-as-Code is essential. ● Domain Knowledge: Experience in the News or Media industry is a strong plus. Equal Opportunity Employer

Posting record

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Status in our records
Live
First seen by us
Sep 20, 202646 days ago
Recorded sightings
30
Last seen by us
Nov 4, 2026
Employer says posted
Sep 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

Time since we first saw it

Day 46

Similar jobs usually come down between day 6 and day 54.

At Dowjones, jobs usually come down by about day 29.

From 11,032 similar postings that came down, and 7 of Dowjones’s. Coming down is not always a hire.

Dowjones is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

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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.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

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

View original posting ↗

Job Description :

Key Responsibilities
The Data Engineer will primarily focus on the development, deployment, and operational
maintenance of the data pipelines.

● Pipeline Development & Maintenance: Develop, deploy, and maintain scalable ETL/ELT
pipelines in GCP using Cloud Composer and PySpark on Dataproc following established
architectural patterns.
● Performance Optimization: Implement and utilize BigQuery features like Partitioning,
Clustering, and Materialized Views to improve query performance and contribute to GCP
cost management.
● Data Integration: Assist in the implementation of BigLake components to ensure
structured and unstructured data is accessible with unified governance.
● Code & Infrastructure Deployment: Utilize Terraform and CircleCI for deploying and
managing pipeline code and related infrastructure to ensure a modular and reproducible
environment.
● Data Operations & Monitoring: Implement robust logging, alerting, and data quality
checks within pipelines to actively monitor data flow and ensure data reliability.
● Collaboration: Work with senior engineers and cross-functional teams to understand
business requirements and translate them into efficient data solutions.
● Skill Development: Proactively seek out and learn new GCP services and tools to enhance
data processing capabilities.
Skills & Competencies
● Experience: Mid Level - 2 - 4 years of hands-on Data Engineering experience.
● GCP Proficiency: Solid knowledge of GCP services with a focus on BigQuery, DataForm,
Cloud Composer, Cloud Storage, Cloud functions and Dataproc.
● Transformation Tools: Proficiency in Dataform for managing version-controlled SQL
workflows and modeling within BigQuery.
● Strong Coding: Excellent Python and SQL skills. You write modular code that is easy to
test and maintain.
● Architectural Knowledge: Solid understanding of Data Modeling (Star Schema,
Snowflake) and Data Operations.
● Automation Mindset: Experience with CI/CD tools and Infrastructure-as-Code is essential.
● Domain Knowledge: Experience in the News or Media industry is a strong plus.



Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic.


Reasonable Accommodation

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This job is posted with NTS Technology Services Pvt. Ltd.
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Pay

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Location & working pattern

Bangalore

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