We are looking for a Middle Data Engineer (with Snowflake expertise) to support ongoing development efforts focused on finance, billing, and operational data processes. The role involves designing, developing, and optimizing database solutions, data pipelines, and integrations while working closely with engineering, finance, and business stakeholders.
The ideal candidate has hands-on experience with SQL Server in Azure environments, strong knowledge of Snowflake, and a proactive mindset suited for a fast-paced, agile team.
Innovecs is a global digital services company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Collaboration Tech, and Gaming.
For the fifth year in a row, Innovecs is included in the Inc. 5000, the list of fastest-growing private companies in the US, and a ranking of the best global outsourcing service providers by IAOP. Recently, Innovecs was honored with the prestigious Global Good Awards for the Employee Engagement & Wellbeing, won gold at the Employer Brand Management Awards, and was included in the Global Top 100 Inspiring Workplaces Ranking.
Our value to you: * Flexible hours and remote-first mode * Competitive compensation * Complete Hardware/Software setup — anything you need for work * Open-door culture, transparent communication, and top management at a handshake distance * Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave * Access to our learning & development center: workshops, webinars, training platform, and edutainment events * Virtual team buildings and social activities to celebrate the Innovecs lifestyle
If you feel like you’re the perfect match for this role, drop us your CV!
There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!
Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.
Requirements
Required Qualifications * 3+ years of professional experience as a Data Engineer, Database Engineer, Database Developer, or similar role. * Strong experience with Microsoft SQL Server. * Hands-on experience working with SQL Server in Azure environments. * Strong experience developing and optimizing stored procedures. * Experience with Snowflake. * Strong SQL skills, including query optimization and performance tuning. * Experience working with data integration and ETL processes. * Advanced English level. * Strong problem-solving and analytical skills. * Excellent verbal and written communication skills. * Ability to work independently and proactively in a small, agile team environment.
Preferred Qualifications * Experience with Azure Data Factory or other Azure data pipeline technologies. Experience in logistics, warehousing, fulfillment, transportation, or supply chain domains. * Familiarity with finance, billing, invoicing, or revenue-related business processes. * Experience supporting data-driven reporting and analytics solutions.
Location & Collaboration Requirements * Available for overlap with US business hours, preferably until 3:00 PM — 4:00 PM EDT. * Comfortable working in a distributed international team environment.
Responsibilities * Design, develop, and maintain SQL Server databases and related solutions in Azure. * Develop, optimize, and troubleshoot complex SQL queries, stored procedures, views, and functions. * Support finance and billing systems by ensuring data accuracy, integrity, and performance. * Design and maintain data integration and ETL processes between operational systems and data platforms. * Work with Snowflake to support reporting, analytics, and data management initiatives. * Build and maintain Azure-based data pipelines and data movement processes. * Collaborate closely with software engineers, business stakeholders, and finance teams to understand and implement business requirements. * Monitor database performance and proactively identify optimization opportunities. * Participate in troubleshooting production issues and implementing long-term solutions. * Contribute to data architecture and database best practices.
