Data Engineer
Job Description
Accenture Flex is hiring a Data Engineer in Mountain View, CA (onsite) to design, develop, and maintain data solutions that move and deploy data across systems. This role combines hands-on engineering with collaboration and technical guidance, with opportunities to influence team decisions and improve data reliability, efficiency, and quality.
Hourly pay: USD 72 to 92. Experience: minimum 4 years. Education: High School Diploma or GED.
What you’ll do
- Lead the design and optimization of scalable data architectures to support evolving business needs.
- Collaborate with cross-functional teams to align data solutions with organizational goals and technical standards.
- Analyze complex data challenges and develop innovative approaches to improve data reliability and efficiency.
- Drive adoption of best practices in data management and pipeline development to elevate overall quality.
- Use strong SQL and Python to engineer data pipelines, run routine and ad hoc analyses, and assess 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 recommend optimizations for campaigns and products.
- Project manage end-to-end analytics tooling feature development, including request intake, requirement evaluation, cross-team alignment, feature execution, QA testing, and stakeholder communications.
- Interface and consult with marketers, analysts, and cross-functional partners as a point of contact for reporting and data requests.
- Coordinate with other data engineering, product, and data science teams to implement client needs and initiatives.
- Design, develop, and maintain data solutions that support data generation, collection, and processing.
- Create data pipelines and implement extract, transform, and load (ETL) processes to migrate and deploy data across systems.
- Collaborate and manage the team to perform effectively, taking responsibility for team decisions and contributing to key decisions that impact multiple teams.
Required qualifications
- 4+ years of experience with advanced proficiency in Data Engineering.
- Advanced proficiency with Python, SQL, data pipelines, and data processing.
- High School Diploma or GED.
Preferred qualifications
- Expert proficiency in Data Pipelines and Data Processing.
Technology
- Python
- SQL
Benefits
- Medical, dental, vision, and long-term disability coverage
- 401(k) plan
- Paid time off
- Competitive rewards
- Access to benefits programs and world-class learning resources
Equal employment opportunity and accommodations
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you would like to be considered for employment opportunities and have accommodation needs, call 1 (877) 889-9009 or speak with your recruiter.
- Employment decisions are made without regard to protected characteristics under federal, state, or local law.
- Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities and committed to veteran employment opportunities.
Additional US employment statements
- US applicants must have work authorization that does not require visa sponsorship for employment authorization.
- Candidates currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
- Applicants will not be obligated to disclose sealed or expunged records as part of the hiring process.
- Accenture will not discriminate against employees or applicants for discussing or disclosing their own pay or another employee’s pay.
- California residents should review additional notifications for applicants and employees if hired for this position in Los Angeles County.