Data Engineer

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 other highly regulated industries to help them modernize critical platforms, accelerate innovation, and achieve measurable business outcomes. At Highspring, we believe in empowering our people, fostering technical excellence, and creating lasting impact through collaboration and innovation. The Opportunity Highspring is seeking Data Engineers to join a strategic enterprise data engineering initiative supporting critical trading, risk, revenue, and reference data platforms. In this role, you will contribute to the modernization and evolution of large-scale enterprise data infrastructure that supports high-volume transactional and analytical workloads. You will work alongside data engineers, software engineers, architects, and business stakeholders to build scalable data solutions, improve platform performance, and support cloud transformation initiatives. This is an excellent opportunity for a data professional who enjoys working at the intersection of data engineering, platform modernization, automation, and large-scale enterprise systems. What You'll Do Design, develop, and enhance enterprise data infrastructure supporting business-critical data platforms. Contribute to modernization initiatives across traditional and emerging database technologies. Build scalable, resilient, and high-performing data solutions for transactional and analytical workloads. Participate in data platform transformation projects, including cloud adoption and modernization programs. Support migration initiatives involving modern data technologies such as Snowflake and SingleStore. Analyze and optimize database and data-processing performance across large-scale environments. Improve query efficiency, indexing strategies, and data access patterns. Develop Python-based automation tools for monitoring, deployment, diagnostics, and operational support. Contribute to CI/CD initiatives and deployment automation practices. Collaborate with globally distributed teams in Agile delivery environments. Participate in technical design discussions, platform evaluations, and engineering best-practice initiatives. What You Bring to the Table 3-7 years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related field. Strong analytical and problem-solving capabilities. Experience supporting large-scale enterprise data platforms and data-intensive applications. Strong communication and collaboration skills. Ability to work effectively within cross-functional and globally distributed teams. Experience working in Agile development environments. Core Skills Required Strong experience with enterprise relational database technologies, including: Sybase DB2 SQL Server Oracle Strong Python programming and scripting skills. Advanced SQL development capabilities. Experience with: Query tuning Performance optimization Data analysis Performance troubleshooting Data processing workflows Working knowledge of Unix/Linux environments. Our Stack Relational Databases: Sybase, DB2, SQL Server, Oracle Cloud & Data Platforms: Snowflake, SingleStore, AWS, Azure Programming & Automation: Python, SQL Data Architecture: Data Modeling, Data Warehousing, CDC, Data Replication Distributed Systems: Streaming Architectures, Kafka, Enterprise Messaging Platforms DevOps & Delivery: Git, CI/CD Pipelines, Agile Practices

Design and develop enterprise data infrastructure to support critical trading, risk, and revenue platforms. Focus on modernizing legacy systems, optimizing database performance, and implementing Python-based automation tools.

Requires 3-7 years of experience in data or database engineering with strong proficiency in Python and advanced SQL. Candidates must have experience with enterprise relational databases and working within Agile environments.

• Microsoft AzurePreferred
• SQLPreferred
• CI/CDPreferred
• OraclePreferred
• Amazon Web ServicesPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Sybase
• DB2
• SQL Server
• Oracle
• Snowflake
• SingleStore
• AWS
• Azure
• Query Tuning
• Performance Optimization
• CI/CD
• Data Modeling
• Kafka
• Unix/Linux

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Minimum experience

5+ years

Apply by

Sep 10, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available