Data Engineer

As a Data Engineer you will be responsible for designing developing and maintaining data solutions that support data generation collection and processing. Your day to day activities will include creating data pipelines ensuring data quality and implementing extract transform and load processes to migrate and deploy data across various systems. You are expected to be a subject matter expert, collaborate and manage the team to perform effectively. Take responsibility for team decisions, engage with multiple teams and contribute to key decisions. Providing solutions to problems that impact multiple teams is a critical part of this role., * Lead the design and optimization of scalable data architectures to support evolving business needs

• Collaborate closely with cross functional teams to align data solutions with organizational goals and technical standards
• Provide technical guidance and support to colleagues fostering knowledge sharing and continuous improvement
• Analyze complex data challenges and develop innovative approaches to enhance data reliability and efficiency
• Drive the adoption of best practices in data management and pipeline development to elevate overall quality
• Advanced proficiency in Data Engineering along with expert proficiency in Data Pipelines and Data Processing is suggested
• Python SQL Data Pipelines and Data Processing
• Utilize strong SQL Python expertise to engineer sound data pipelines and conduct routine and ad hoc analysis to assess the performance of legacy products and the saliency of new features
• Build reporting dashboards and visualizations to design create and track campaign program KPIs
• Perform analyses on large data sets to understand drivers of marketing engagement and provide recommendations on campaign and product optimization
• Project manage end to end process of analytics tooling feature development including request intake requirements evaluation cross functional team alignment feature execution QA testing and stakeholder communications
• Interface and consult with marketers analysts and cross functional partners to understand their reporting and data needs serving as the point of contact for requests inquiries and action items
• Interface with other data engineering product and data science teams to implement client needs and initiatives, Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

• Minimum 4 years of experience with advanced proficiency in Data Engineering
• Advance proficiency with Python, SQL, Data Pipelines and Data Processing
• High School Diploma or GED, * Expert proficiency in Data Pipelines and Data Processing

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 11/08/2026.Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE’s 100 Best Companies to Work For and Diversity Inc’s Top 50 Companies For Diversity lists.

As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture’s clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today’s biggest business challenges.

You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel., For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50)

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.