About Highspring
Highspring is a next-generation consulting and professional services firm. We deliver modern, agile, and forward-thinking solutions to our clients across North America. We work with some of the most innovative organizations in financial services, technology, and enterprise industries to help them solve complex business and technology challenges. At Highspring, we believe in empowering our people, fostering technical leadership, and delivering measurable business impact.

The Opportunity
Highspring is seeking a Database Engineer to join a high-performing team responsible for enterprise-scale database platforms and data infrastructure. This role is ideal for a technology professional who is passionate about data, database performance, and platform modernization.
You will contribute to the engineering, optimization, and evolution of large-scale transactional database environments while supporting strategic modernization initiatives involving cloud technologies and next-generation data platforms. The position offers the opportunity to collaborate closely with technical and business stakeholders, participate in architectural discussions, and influence the future direction of critical data services.

What You’ll Do
Engineer and support enterprise database platforms across large database estates, including Sybase, DB2, and emerging database technologies.
Analyze and optimize database performance through query tuning, indexing strategies, workload analysis, and capacity planning.
Design, test, and implement database changes with a strong focus on resiliency, quality, and operational excellence.
Participate in database modernization and migration initiatives, including transitions toward platforms such as Snowflake and SingleStore where applicable.
Perform database version upgrades, patching activities, and platform lifecycle management.
Improve operational readiness through automation, standardization, and process optimization.
Support database deployment and distribution strategies across cloud-based environments.
Collaborate with cross-functional teams in an Agile delivery model while balancing speed, stability, and governance.
Contribute to technical discussions, architecture reviews, and continuous improvement initiatives.
Partner with geographically distributed teams to deliver reliable and scalable data solutions.

What You Bring to the Table
Passion for data technologies and database engineering.
Strong analytical and problem-solving abilities.
Ability to communicate technical concepts effectively to both technical and non-technical audiences.
Collaborative mindset with a willingness to share ideas and actively listen to others.
High degree of ownership, accountability, and professional integrity.
Self-motivated learner with a strong interest in expanding both technical and business knowledge.
Ability to thrive in a fast-paced, Agile environment.

Core Skills Required
Intermediate knowledge of major relational database platforms, including Sybase and DB2.
Experience or strong interest in modern data platforms such as Snowflake and SingleStore.
Strong Python scripting skills for automation, diagnostics, tooling, and data utilities.
Working knowledge of Unix/Linux operating systems.
Database performance tuning and optimization expertise.
Understanding of database resiliency, scalability, and operational best practices.
Excellent written and verbal communication skills.

Preferred Qualifications
Knowledge of logical and physical data modeling concepts.
Understanding of normalization and dimensional modeling techniques.
Experience with Git or other version control systems.
Familiarity with data replication technologies, including CDC, transactional replication, and streaming-based architectures.
Experience working within Agile delivery frameworks such as Scrum or Kanban.
CI/CD mindset and experience supporting database delivery practices.
Experience collaborating within geographically distributed teams.

Our Stack
Databases: Sybase, DB2, Snowflake, SingleStore
Programming & Automation: Python
Operating Systems: Unix, Linux
Version Control: Git
Data Technologies: CDC, Transactional Replication, Streaming-Based Data Patterns
Delivery Frameworks: Agile, Scrum, Kanban, CI/CD
Cloud & Platform Engineering: Cloud-based database deployment, automation, and standardization

Why Join Highspring
Work alongside highly skilled consultants and technology professionals on mission-critical initiatives.
Contribute to large-scale, enterprise-grade data platform modernization projects.
Participate in innovative cloud and database transformation programs.
Access continuous learning and professional development opportunities.
Collaborate in a supportive, team-oriented culture that values technical excellence and innovation.
Make a direct impact on the performance, reliability, and evolution of business-critical data platforms.

Data Engineer

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