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Accenture Data Engineer Jobs (NOW HIRING)

Data Engineer

Tampa, FL · On-site

$114K - $135K/yr

At Accenture Federal Services, nothing matters more than helping the US federal government make the ... Collaborate with senior engineers to implement data governance and security best practices.

Azure Data Engineer - 6461034

Tampa, FL · On-site

$47.69 - $57.69/hr

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by ... As a Data Engineer, you will be responsible for designing, developing, and maintaining data ...

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Accenture Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do accenture data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for accenture data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Accenture Data Engineer vs Accenture Data Analyst?

AspectAccenture Data EngineerAccenture Data Analyst
Required SkillsData modeling, ETL, SQL, programming (Python, Java)Data interpretation, reporting, SQL, Excel
CertificationsBig Data, Cloud certifications often preferredData analysis, visualization certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating reports
Industry UsageTechnology, finance, healthcareMarketing, finance, consulting

Accenture Data Engineers focus on designing and maintaining data infrastructure, while Data Analysts interpret data and generate insights. Both roles require SQL and data skills but differ in technical depth and responsibilities.

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What cities are hiring for Accenture Data Engineer jobs?

Cities with the most Accenture Data Engineer job openings:

What states have the most Accenture Data Engineer jobs?

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What job categories do people searching Accenture Data Engineer jobs look for?

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Infographic showing various Accenture Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer Senior Analyst

Arlington, VA • On-site

Accenture Federal Services
IT Services • 10K+ employees

$99K - $125K/yr

Full-time

Re-posted 21 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national strength and safety. The Data Engineer Senior Analyst will be a key contributor to the team responsible for building and maintaining data pipelines, supporting the development and operation of critical data infrastructure.
Responsibilities:
• Assist in the development and maintenance of ETL/ELT data pipelines using established patterns and tools.
• Utilize reusable pipeline templates and Infrastructure-as-Code (IaC) scripts to deploy data flows consistently and efficiently.
• Support the O&M of existing pipelines by monitoring performance, troubleshooting failures, and responding to alerts.
• Execute data quality checks and assist in the implementation of data validation rules using frameworks like Great Expectations.
• Work with senior team members to test and deploy new pipeline features and optimizations.
• Contribute to the creation and maintenance of technical documentation for data pipelines and processes.
Qualifications:
Required:
• 2+ years of experience in a data-focused role (e.g., data engineering, backend development, database administration).
• Experience with Python and SQL for data manipulation and scripting.
• Familiarity with data engineering concepts, including ETL processes and data warehousing.
• Exposure to cloud environments (e.g., AWS, Azure) and data platforms like Databricks or Snowflake.
• Basic understanding of Agile/Scrum methodologies.
• A strong desire to learn and grow in the data engineering field.
• US Citizenship
• Active TS or TS/SCI clearance
Preferred:
• Experience with Spark/PySpark.
• Familiarity with Infrastructure-as-Code tools like Terraform.
• Exposure to data orchestration tools (e.g., Airflow) or CI/CD pipelines.
• Experience working in a DoD or government environment.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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