We are :
The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients' transformation journey. Powered by more than 255,000
Stronger together!
The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients' business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.
The value for our clients and our people
For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world's most complex client challenges.
You are :
A skilled Data Engineer with deep expertise in Microsoft Azure Data Services and SQL Server, capable of designing, building, and optimizing modern data pipelines and platforms. You enable organizations to collect, store, process, and operationalize data at scale through secure, well-architected cloud solutions.
The Work :
There will never be a typical day and that's why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today's biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in a variety of roles covering all aspects of Data Engineering including Data Modelling, Integration, Pipeline Development, Quality & Governance.
Key Responsibilities :
Design, build, and maintain scalable data pipelines and ETL / ELT processes using Azure Data Factory, Azure Databricks, or Synapse Pipelines.
Develop and optimize robust relational data models, stored procedures, and SQL workloads in SQL Server and Azure SQL Database.
Architect and implement data solutions leveraging Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and other Azure-native services.
Ensure data quality, governance, security, and reliability through best practices in monitoring, validation, version control, and metadata management.
Collaborate with analytics, reporting, and business teams to ensure data structures and pipelines support accurate, consistent, and accessible insights.
Troubleshoot performance issues and optimize database operations, queries, and compute configurations for efficiency and scale.
Document data architectures, pipelines, and processes, and provide knowledge transfer to engineering and analytics teams.
This role will require 3 days per week in the office. Hiring locations are Tampa, FL or Nashville, TN.
What you need :
A minimum of 3 years of professional experience as a Data Engineer or in a data-focused engineering role with strong hands-on experience with Azure Data Services, such as : Azure Data Factor, Azure Synapse Analytics, and Azure Data Lake Storage
A minimum of 3 years of professional experience with Advanced Microsoft SQL Server and T-SQL, including performance tuning, indexing, and stored procedure development.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)
Bonus points if you have :
Experience with Azure DevOps, CI / CD pipelines, Infrastructure-as-Code (ARM, Bicep, Terraform), or automated deployment of data assets.
Familiarity with big-data or distributed compute frameworks (e.g., Spark via Azure Databricks).
Exposure to real-time or streaming architectures using Azure Event Hubs or Azure Stream Analytics.
Experience integrating Azure data solutions with BI platforms such as Power BI for analytics consumption.
Ability to automate data workflows using Python, PySpark, or PowerShell.
Ability to design and implement scalable ETL / ELT architectures following modern cloud data engineering patterns.
Strong understanding of data modeling (dimensional and relational), data warehousing concepts, and schema design.
Knowledge of data security, access control, and governance within Azure environments.
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 accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ()
Role Location Annual Salary Range
California $63,800 to $205,800
Cleveland $59,100 to $164,600
Colorado $63,800 to $177,800
District of Columbia $68,000 to $189,300
Illinois $59,100 to $177,800
Maryland $63,800 to $177,800
Massachusetts $63,800 to $189,300
Minnesota $63,800 to $177,800
New York / New Jersey $59,100 to $205,800
Washington $68,000 to $189,300
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 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.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
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, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the?Accenture Equal Opportunity Statement ()
Accenture is an EEO and Affirmative Action Employer of Veterans / Individuals with Disabilities.
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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.
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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.
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Azure Data • Nashville, TN, United States