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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, develop and maintain data pipelines and ETL processes

  • Ensure data quality and integrity across its lifecycle

  • Lead efforts to optimize data pipeline performance and scalability

  • Troubleshoot complex data issues and implement solutions

  • Mentor junior team members on technical skills

From the employer’s posting
Design, develop and maintain data solutions for data generation, collection, and processing
ensuring the integrity and quality of data throughout its lifecycle
Lead efforts to optimize data pipeline performance and scalability
Ability to troubleshoot complex data issues and implement effective solutions
Mentor junior team members to enhance their technical skills and project contributions

What you’ll bring

All qualifications

Core experience

  • 5+ years of experience in Snowflake Data Warehouse
  • Proficiency in Snowflake Data Warehouse and Data Engineering
  • Strong knowledge of data pipeline architecture and ETL process design
  • Experience managing and optimizing cloud-based data storage and processing
  • Familiarity with scripting and automation

Preferred experience

  • Experience with Data Build Tool
Qualification wording
The candidate should have minimum 5 years of experience in Snowflake Data Warehouse
Must To Have Skills: Proficiency in Snowflake Data Warehouse, Data Engineering, Data Build Tool
Strong knowledge of data pipeline architecture and ETL process design
Experience in managing and optimizing cloud-based data storage and processing solutions
Familiarity with scripting and automation to streamline data workflows
Good To Have Skills: Experience with Data Engineering, Data Build Tool

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, 2026today
Recorded sightings
1
Reposted
once since Nov 2, 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 0

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

From 10,704 similar postings that came down. Coming down is not always a hire.

Accenture is hiring

202 open jobs

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

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 11% 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.

  • Snowflake
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 : Snowflake Data Warehouse Good to have skills : Data Build Tool, Data Engineering Minimum 5 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 requires implementing processes to extract, transform, and load data, facilitating smooth migration and deployment across various systems. Collaboration with different teams to optimize data workflows and troubleshoot issues is also a key part of daily activities, ensuring that data infrastructure supports organizational needs effectively and reliably.
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. - Provide solutions to problems for their immediate team and across multiple teams. - Lead efforts to optimize data pipeline performance and scalability. - Mentor junior team members to enhance their technical skills and project contributions. - Coordinate cross-functional initiatives to align data engineering efforts with business objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Data Engineering, Data Build Tool. - Good To Have Skills: Experience with Data Engineering, Data Build Tool. - Strong knowledge of data pipeline architecture and ETL process design. - Experience in managing and optimizing cloud-based data storage and processing solutions. - Ability to troubleshoot complex data issues and implement effective solutions. - Familiarity with scripting and automation to streamline data workflows. Additional Information: - The candidate should have minimum 5 years of experience in Snowflake Data Warehouse. - This position is based at our Hyderabad office. - A 15 years full time education is required.
Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Data Engineering, Data Build Tool. - Good To Have Skills: Experience with Data Engineering, Data Build Tool. - Strong knowledge of data pipeline architecture and ETL process design. - Experience in managing and optimizing cloud-based data storage and processing solutions. - Ability to troubleshoot complex data issues and implement effective solutions. - Familiarity with scripting and automation to streamline data workflows. Additional Information: - The candidate should have minimum 5 years of experience in Snowflake Data Warehouse. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education

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. 14 came down, usually after about 1 day. 10 are still up.

  1. SantiagoStill up after 1 day, first seen Nov 3
  2. BengaluruStill up after 1 day, first seen Nov 3
  3. BengaluruStill up after 1 day, first seen Nov 3
  4. KolkataStill up after 1 day, first seen Nov 3
  5. KolkataStill up after 1 day, first seen Nov 3
  6. BhubaneswarStill up after 1 day, first seen Nov 3
  7. BengaluruStill up after 1 day, first seen Nov 3
  8. PuneStill up after 1 day, first seen Nov 3
  9. This jobUp 1 day so far, first seen Nov 3

If this one keeps the same pace, it may come down around November 4.

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 ↗

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 : Snowflake Data Warehouse
Good to have skills : Data Build Tool, Data Engineering
Minimum 5 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 requires implementing processes to extract, transform, and load data, facilitating smooth migration and deployment across various systems. Collaboration with different teams to optimize data workflows and troubleshoot issues is also a key part of daily activities, ensuring that data infrastructure supports organizational needs effectively and reliably.

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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data pipeline performance and scalability.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional initiatives to align data engineering efforts with business objectives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse, Data Engineering, Data Build Tool.
- Good To Have Skills: Experience with Data Engineering, Data Build Tool.
- Strong knowledge of data pipeline architecture and ETL process design.
- Experience in managing and optimizing cloud-based data storage and processing solutions.
- Ability to troubleshoot complex data issues and implement effective solutions.
- Familiarity with scripting and automation to streamline data workflows.

Additional Information:
- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.
- This position is based at our Hyderabad office.
- 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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Hyderabad

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