Data Engineer
Job ID: 37696
Date Added: 08/28/2026
TITLE: Data Engineer
LOCATION: Mountain View, CA (hybrid, on-site Tuesday – Thursday)
ANTICIPATED DURATION: 5 months
Responsibilities:
- Provide ongoing support for data users through maintenance of reports, queries, and dashboards with minimal guidance.
- Execute on plans for dependency changes (e.g., system migrations).
- Design and implement business solutions and infrastructure to build and scale common frameworks for use with minimal guidance.
- Partner with upstream data providers to establish new source data pipelines.
- Follow and improve upon the local technical best practices, including making data discoverable, thinking about the lifecycle of data, and managing master data well.
- Design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance, scalability and efficiency, reliability and fidelity, and flexibility and portability.
- Leverage, deploy, and continuously train pre-existing machine learning models.
- Learn and implement new storage/MPP systems/ML serving systems, with minimal guidance.
- Perform data analysis and profiling utilizing relevant tools, leveraging custom data infrastructure, or existing data models with minimal guidance.
- Work with clients to understand their needs and clarify requirements or direct to more suitable channels.
- Enable data-driven decision-making by collecting, transforming, and publishing data.
- Create and/or consult in creating data visualizations and visualization features using internal BI tools like PLX, Datastudio, and external tools like Tableau and Looker, with minimal guidance.
- Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation of data and for use of data in ML training/models, with some guidance.
- Consult with users, partners, or decision makers to identify data sources, required data elements, or data validation standards, with minimal guidance.
- Consult with application engineers to understand and influence logging/transactional storage.
- Consult with Data scientists on ML training, feature engineering for ML models.
- Code comprehension and programming skills
- Information gathering skills
- Big data infrastructure
- Machine Learning Knowledge
- Stakeholder management
- Project management
- Data exploration
- Data pipeline (ETL) design and Data Modeling
- Statistics & BI tools
Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
For immediate consideration, please forward your resume to dreeves@synergishr.com
If you require assistance or an accommodation in the application or employment process, please contact us at dreeves@synergishr.com.
Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at www.synergishr.com.