Staff Data Engineer

Company: Early Warning Services LLC
Location: San Francisco
Posted on: June 1, 2025

Job Description:

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze---, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.Overall PurposeBe a thought leader: a mid-senior point of expertise on Database Engineering design, issues, industry trends, and developing technologies. Partners with leadership to develop strategy. Sets the direction, planning, and execution of database administration priorities in regards to security, risk management, scalability, and reliability.Essential Functions

• Leads critical incidents from inception through incident resolution as well as throughout the root cause analysis process.
• Documents and onboards new technology and provides knowledge transfer to others.
• Using proficient level experience, supports the company's commitment to risk management by protecting the integrity and confidentiality of systems and their data; aligns enterprise and department-level policies, procedures, and controls by attesting to verbiage, compliance, and evidence.
• Forward thinking in upgrade paths, compute and storage capacity expansion, and database hardening and patching.
• Transforms business requirements into technical specifications that demonstrate effective data design and system architecture to meet SLAs (RTOs and RPOs).
• Key contributor in implementing proactive monitoring/alerting and automatic corrective actions.
• Takes ownership for creating technical product design and architecture including but not limited to: system installation, configuration, and performance management.
• Collaborates and builds cross functional influence and motivates others; serves as internal catalyst for progressive, strategic, and successful change management.
• Skilled at developing attainable goals in a challenging and complex environment with competing priorities.
• Oversees the work of others in a supportive and effective manner.
• Mentor, coach, and guide other Database Engineers.
• Works closely with customers and stakeholders to understand requirements and creates a partnership for Early Warning where database services are reliable, performant, and cost-effective.
• Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.Minimum Qualifications
• Education and/or experience typically obtained through completion of a bachelor's degree in Computer Science, Computer Science Engineering, Computer Information Systems, Electrical Engineering, or related field.
• Proficient in Oracle and MS SQL Server in the areas of clustering, replication, partitioning, encryption, and high availability/disaster recovery configurations from a design, implementation, and support standpoint. Must be willing to be cross-trained and lead in other RDBMS technologies in these areas.
• A minimum of 12 years of data management, architecture, and systems experience for large-scale implementations.
• Hands-on experience designing and deploying secure database systems for high performance, resiliency, availability, and reliability.
• Advanced experience in identifying and leading tuning and performance improvements for database systems within and across the technology stack.
• RDBMS domain expertise. Knowledge of Software Development Lifecycle (SDLC), development methodologies (Agile, Scrum, Lean), and DevOps practices.
• Seasoned verbal and written communication skills with the ability to present any data management concept to stakeholders in most levels of the business.
• Ability to work outside normal business hours and be part of a 24x7 on-call rotation.
• Background or drug screen.Preferred Qualifications
• M.S or Ph.D. in Information Systems or another related field.
• Cloud Certification in the area for database specialization.
• Additional experience with mainstream on-premise and cloud-based database technologies such as AWS Aurora, RDS, EC2, Azure, and OCI.
• Knowledge of NoSQL and Big Data Analytics systems and use-cases such as Redshift, HBASE, and Aerospike.
• Experience with Monitoring and Alerting Systems such as AppDynamics, Zabbix, PagerDuty, OEM, Idera, and CloudWatch.
• FinTech experience is highly beneficial.Physical RequirementsWorking conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers. Employee must be able to perform essential functions
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Keywords: Early Warning Services LLC, Castro Valley , Staff Data Engineer, Engineering , San Francisco, California