Accenture Logo

Accenture

Data Engineer

Posted 4 Days Ago
In-Office
3 Locations
72K-92K Hourly
Mid level
In-Office
3 Locations
72K-92K Hourly
Mid level
Design, optimize, and maintain scalable data architectures, pipelines, and processing solutions. Ensure data quality, perform SQL and Python analysis, build dashboards and visualizations, and support marketing and product analytics. Lead tooling development, requirements gathering, QA, stakeholder communications, and cross-functional initiatives while providing technical guidance and managing team decisions.
The summary above was generated by AI

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.


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.


Key Responsibilities:


  • 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

Basic Qualifications:


  • 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

Preferred Qualifications:


  • 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 Jobs

Role Location                                Hourly Salary Range

California                                          $72 to $92

Cleveland                                          $72 to $92

Colorado                                           $72 to $92

Columbus                                         $72 to $92

Connecticut                                      $72 to $92

District of Columbia                      $72 to $92

Illinois                                                $72 to $92

Maine                                                $72 to $92

Maryland                                          $72 to $92

Massachusetts                                 $72 to $92

Minnesota                                        $72 to $92

New York                                         $72 to $92

New Jersey                                      $72 to $92

Virginia                                         $72 to $92

Washington                                      $72 to $92

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 

What We Believe 

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. 

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here 

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, 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.

For details, view a copy of the  Accenture Equal Opportunity Statement

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.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Accenture San Francisco, California, USA Office

560 Mission St, San Francisco, CA, United States, 94105

Similar Jobs

3 Days Ago
Remote or Hybrid
OH, USA
Senior level
Senior level
Financial Services
Build and operate scalable Databricks-on-AWS data pipelines using PySpark, Delta Lake, and lakehouse patterns. Optimize performance, implement data quality, monitoring, alerting, and automated remediation, and deliver curated datasets for BI and analytics partners. Collaborate with stakeholders on architecture and design while applying secure software engineering, CI/CD, agile, and operational stability practices. The role also uses AI-assisted development tools and supports workforce data analytics.
Top Skills: AlteryxAmazon AthenaAmazon EmrAmazon S3Apache AirflowApache IcebergSparkAutosysAWSAws CloudwatchAws GlueAws LambdaBitbucketClaudeDatabricksDatabricks WorkflowsDelta LakeDelta Live TablesGitGithub CopilotJavaJenkinsOracleParquetPysparkPythonScalaSigmaSpinnakerSQLTableau
3 Days Ago
Hybrid
86K-173K Annually
Mid level
86K-173K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
Develop and support Oracle SQL data warehouses, Informatica ETL processes, and data integration workflows for commercial risk applications. Investigate production incidents, perform root-cause analysis, resolve data quality issues, and support application reliability. Collaborate with business partners, architects, data consumers, and support teams on enhancements and modernization initiatives, including automation and distributed data technologies. Perform data validation, reconciliation, testing, migration, and transformation activities.
Top Skills: ETLInformatica PowercenterLinux/UnixOracleSQL
4 Days Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, enforcing security and compliance, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires extensive infrastructure and data engineering experience across cloud platforms, containers, data security, and workflow orchestration.
Top Skills: Apache AirflowApache SupersetAWSAzureCi/CdData ModelingDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account