The Staff Software Engineer will build next-gen distributed data systems, mentoring engineers, developing architecture, and ensuring high-quality coding standards.
hatch I.T. is partnering with a rapidly growing healthcare technology company to find a Staff Software Engineer - AI Data Engineering. See details below:
About the Role:
As a Staff Software Engineer, you will take us beyond traditional monolithic SQL engines and batch pipelines. You will build the next generation of distributed data storage and processing systems. You will build systems that can scale indefinitely, and surpass traditional query performance, while making the interfaces for that data simple, expressive, and cleanly abstracted. Your interfaces will support a broad array of data consumers, from our web application, to business analytics, and artificial intelligence.
Primary Duties:
- Identify and develop scalable and performant solutions.
- Work across discipline to shape product strategy and execution.
- Develop the foundations of code architecture and quality.
- Mentor and coach engineers.
- Set and uphold the standard for engineering processes to support high-quality engineering.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field required.
- 8+ years of production-level experience as an engineer building highly scalable systems.
- 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- 4+ years of experience working with SQL or other database querying languages on large multi-table data sets.
- Experience architecting, developing, and deploying large-scale distributed systems at scale.
- Experience with cloud technologies, e.g., AWS, Azure, GCP.
- Experience building continuous integration and continuous development (CI/CD) pipelines.
- Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).
Preferred KSAs:
- 8+ years of production-level experience as an engineer building highly scalable and reliable infrastructure with at least 3 years focused on AI/ML.
- Experience leading large cross functional data initiatives from ideation to implementation , helping share data platform direction,aligning all the teams and driving broader impact across the organization.
- Experience building low latency data pipelines that serve structured, semi structured and unstructured data for ML and analytics use cases.
- Strong understanding of data modeling, optimization and feature engineering for ML use cases.
- Experience building robust data lineage ,auditing, data quality automation standards for AI/ML related systems.
- In-depth knowledge of database systems and expertise in data processing frameworks (e.g. Spark, Airflow) and strong python and SQL skills.
- Familiarity with database replication, sharding and other techniques for scalability and high availability of databases.
Physical Requirements:
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
Top Skills
Airflow
AWS
Azure
C#
C++
GCP
Go
Java
Python
Scala
Spark
SQL
Similar Jobs
Healthtech
The Staff Software Engineer will develop scalable data systems, mentor engineers, and set engineering standards, focusing on AI and data architecture.
Top Skills:
AirflowAWSAzureC#C++Ci/CdGCPGoJavaPythonScalaSparkSQL
Artificial Intelligence • Healthtech • Software
The Revenue Operations Manager will build RevOps from scratch, aligning sales, marketing, and customer success teams to enhance operational efficiency and revenue growth.
Top Skills:
BigQueryGoogle AppsHubspot CrmHubspot Marketing HubMake.ComNotionSlack
eCommerce • Software • Design • SEO
The Senior Product Designer will create end-to-end customer experiences for enterprise collaboration features, collaborating with Product Management and Engineering, and utilizing customer insights for design.
Top Skills:
Design Tools
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
