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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
  • Design and implement scalable data architectures for business needs

  • Create data pipelines and implement ETL processes for data migration

  • Mentor junior team members and support their professional growth

  • Coordinate cross-functional efforts to align data solutions with goals

From the employer’s posting
Lead the design and implementation of scalable data architectures to support business needs.
Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Mentor junior team members and support their professional growth.
Coordinate cross-functional efforts to ensure data solutions align with organizational goals.

What you’ll bring

All qualifications

Core experience

  • At least 12 years of experience, specifically in Reltio
  • Proficiency in Reltio, Data Architecture Principles, AWS Architecture
  • Experience with cloud data platforms, especially Amazon Web Services
  • Knowledge of data integration techniques and building data pipelines
  • 15 years of full-time education
Qualification wording
The candidate should have minimum 12 years of experience in Reltio.
Must To Have Skills: Proficiency in Reltio, Data Architecture Principles, AWS Architecture.
Experience with cloud-based data platforms and services, particularly within the Amazon Web Services ecosystem.
Strong knowledge of data integration techniques and best practices for building data pipelines.
A 15 years full time education is required.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.

In the employer’s words · Read in context

Apply at Accenture

Posting record

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Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026
Reposted
once since Oct 16, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 1

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

At Accenture, jobs usually come down by about day 1.

From 11,033 similar postings that came down, and 2,625 of Accenture’s. Coming down is not always a hire.

Accenture is hiring

583 open jobs

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

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 8% of open jobs were reposted
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.

  • AWS
Where the posting names them
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Reltio, AWS Architecture, Data Architecture Principles Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, ensuring robust and scalable data infrastructure.
Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Lead the design and implementation of scalable data architectures to support business needs. - Mentor junior team members and support their professional growth. - Coordinate cross-functional efforts to ensure data solutions align with organizational goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Reltio, Data Architecture Principles, AWS Architecture. - Strong knowledge of data integration techniques and best practices for building data pipelines. - Experience with cloud-based data platforms and services, particularly within the Amazon Web Services ecosystem. - Ability to design and optimize extract, transform, and load processes for large-scale data migration. - Familiarity with data governance and quality assurance methodologies to maintain data accuracy and consistency. Additional Information: - The candidate should have minimum 12 years of experience in Reltio. - This position is based at our BBDC1A - NON-STPI location. - A 15 years full time education is required.

Your next step

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Has Accenture posted this job before?

Yes. We’ve followed 24 other Data Engineer jobs there since October 2026. 4 came down, usually after about 2 days. 20 are still up.

  1. SantiagoStill up after 2 days, first seen Nov 3
  2. BengaluruStill up after 2 days, first seen Nov 3
  3. BengaluruStill up after 2 days, first seen Nov 3
  4. This jobUp 2 days so far, first seen Nov 3
  5. BengaluruStill up after 1 day, first seen Nov 4
  6. BengaluruStill up after 1 day, first seen Nov 4
  7. ShanghaiStill up after 0 days, first seen Nov 5
  8. DalianStill up after 0 days, first seen Nov 5
  9. HyderabadStill up after 0 days, first seen Nov 5

If this one keeps the same pace, it may come down around November 5.

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

About Accenture

People
About 814,000 in 2026, up 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as ACN.
H-1B visas
294 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

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 ↗

Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Reltio, AWS Architecture, Data Architecture Principles
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, ensuring robust and scalable data infrastructure.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the design and implementation of scalable data architectures to support business needs.
- Mentor junior team members and support their professional growth.
- Coordinate cross-functional efforts to ensure data solutions align with organizational goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Reltio, Data Architecture Principles, AWS Architecture.
- Strong knowledge of data integration techniques and best practices for building data pipelines.
- Experience with cloud-based data platforms and services, particularly within the Amazon Web Services ecosystem.
- Ability to design and optimize extract, transform, and load processes for large-scale data migration.
- Familiarity with data governance and quality assurance methodologies to maintain data accuracy and consistency.

Additional Information:
- The candidate should have minimum 12 years of experience in Reltio.
- This position is based at our BBDC1A - NON-STPI location.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement


We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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Bhubaneswar

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