This onsite Data Engineer role at Accenture Flex in Morristown, NJ focuses on designing, developing, and maintaining data solutions, building data pipelines, ensuring data quality, and implementing ETL across systems, in collaboration with cross-functional teams and client stakeholders.
Responsibilities
- Develop and optimize scalable data pipelines to support complex data workflows and analytics.
- Collaborate with cross-functional teams to integrate data solutions that meet business requirements.
- Analyze and troubleshoot data issues to ensure accuracy and reliability of data assets.
- Support and mentor less experienced colleagues by sharing knowledge and best practices.
- Contribute to the continuous improvement of data engineering processes and tools to enhance overall team performance.
Requirements
- Minimum 5 years of work experience as a highly skilled engineer with strong data engineering, integration, and automation experience
- Deep proficiency in SQL, Python, Java, and PowerShell, with ability to extract, transform, and operationalize data across multiple platforms
- Knowledge of Genesys Cloud, NIC Call Recording, Nexidia Interaction Analytics, NICE IEX Workforce Management, APA, Robotic Automation and Symon Korbyt Wallboard technology
- Associate Degree
Technologies
- SQL
- Python
- Java
- PowerShell
- Genesys Cloud
- NIC Call Recording
- Nexidia Interaction Analytics
- NICE IEX Workforce Management
- APA
- Robotic Automation
- Symon Korbyt Wallboard technology
Benefits
- Medical, dental, and vision coverage
- Long-term disability coverage
- 401(k) plan
- Paid time off
- World-class learning resources
Role Location and Hourly Salary Range
- California: USD 44 - 54 per hour
- Cleveland: USD 44 - 54 per hour
- Colorado: USD 44 - 54 per hour
- District of Columbia: USD 44 - 54 per hour
- Illinois: USD 44 - 54 per hour
- Maine: USD 44 - 54 per hour
- Maryland: USD 44 - 54 per hour
- Massachusetts: USD 44 - 54 per hour
- New York: USD 44 - 54 per hour
- New Jersey: USD 44 - 54 per hour
- Virginia: USD 44 - 54 per hour
- Washington: USD 44 - 54 per hour
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired and require accommodation to perform essential functions, you will participate in the reasonable accommodation process. Accommodations made to facilitate recruiting do not guarantee future accommodations once hired.
To be considered for employment opportunities with Accenture and to request accommodation for disability or religious observance, please call 1 (877) 889-9009, email, or speak with your recruiter.
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We believe that no one should be discriminated against because of differences. All employment decisions are made without regard to protected characteristics such as age, race, creed, color, religion, sex, national origin, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis protected by law. Our diversity drives innovation and competitiveness. Details are available in the Accenture Equal Opportunity Statement.
Accenture is an EEO and Affirmative Action Employer of Veterans and Individuals with Disabilities, and is committed to veteran employment opportunities.
Other Employment Statements
- Applicants in the US must have work authorization that does not require visa sponsorship now or in the future.
- Candidates currently employed by a client or affiliated Accenture entity may not be eligible.
- Disclosures of sealed or expunged records are not mandatory in the hiring process, and a criminal history is not an absolute bar to employment.
- Accenture prohibits discrimination for discussing pay or pay disclosures among employees with authorized access to compensation information.
- California residents: if you live in or plan to work from Los Angeles County, please review additional information.
- Please review Accenture’s Recruiting and Hiring Statement for information on data processing during the recruiting process.
