Senior Software Engineer (Data Systems)
Since 2001 Hansell Tierney has been one of the premier staffing and recruiting companies in Seattle Washington. As a Certified Women’s Business Enterprise (WBE), Hansell Tierney was created to serve and staff Northwest companies by doing things the right way, not just the easiest. We strive to do better by partnering with candidates, treating your experience as one of our own, providing our candidates with interesting local opportunities, and handling every relationship with the highest level of customer service possible. Our business is built on the deep understanding of the job market and the ability to over-deliver on our promises.
Location: Seattle, WA
We are currently helping our client with their search for a Senior Software Engineer (Data Services). As a Senior Software Engineer you will play a pivotal role in extending our products and services to reach new markets and new customers. You will own major portions of company's data layer, which is a critical resource in every facility of services. You will be responsible for designing, implementing, and sustaining the core SQL-based data storage layer of the software platform. You will have a major role in the planning and execution of the organization's development roadmap especially with regard to scalability of our cloud-hosted systems and implementation of new core functionality.
You will work closely with your fellow Data Team developers and collaborate with developers from all other teams to implement complex cross-team optimizations and new features.
With other engineers, help design, spec, plan, and execute technology roadmap. Produce high-quality software components using software engineering best practices. Deliver ship-quality code, scripts, and components on schedule.
Assist other engineers with ramp-up on internal technologies, help with design reviews and other quality control practices, and work towards expanding the capabilities of the engineering team as a whole. Drive implementation of SQL-specific best practices across the dev team. Function as a mentor for others on the team.
Communicate clearly and concisely with the development team and executive stakeholders. Make strong, thoughtful cases for major changes when required, handle push back gracefully but don’t give up (unless specifically asked by your management team to ‘disagree and commit’).
Data layer conversion to SQL stored procedures:
Work closely with the rest of the data team to deeply understand the product scenarios and the C# code that sits within the data layer, but above the database. Collaborate to solve problems that cross the SQL<->application code layers.
Take the lead role in converting our existing Linq-to-SQL C# code to SQL stored procedures. Help prioritize the order in which we do this conversion to optimize for both system performance, team efficiency, and bang-for-the-buck. Use great care in defining the C# code-level interfaces in front of your stored procedures to capture the required nuance of the existing code and encode that into the API.
Build new data layer interfaces to enable new functionality, reaching from the lowest levels of database schema design and optimization, all the way up to the web API layer.
Ensure the SQL code you write is unit tested, working with members of our QA and Dev-Infrastructure team to build the missing pieces in our tool chain that make auto-testing of SQL difficult today.
As a member of the Data Team, share ownership of the performance, scalability, monitoring and operations of our SQL Servers. Ensure our SQL Servers are configured and maintained according to best practices. Work with the rest of the Data Team to improve our metrics & monitoring for SQL Server health. Ensure we stay ahead of the scale wave by identify looming problems with enough time to react.
Pitch in and wear the ‘DBA Hat’, when required, to offload work from Adam and Chris and to help cover when they are unavailable. Pull diagnostic information out of SQL to understand when and where problems exist. Build reports and dashboards to aid in diagnosis. Consult with Chris and other data team members to publish metrics to our ops dashboards to help catch operational problems before they become customer-visible.