Data Engineer

This is more than a hands-on engineering role. You will serve as a technical leader, driving architecture decisions and leading the development of modern data platforms. You'll partner closely with stakeholders across the business to turn data into a powerful enterprise asset.

If you enjoy working at the intersection of engineering excellence, data strategy, and business impact, this is your opportunity to lead meaningful transformation., * Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data

• Architect high-performance data platforms that balance scalability, reliability, and cost-efficiency
• Optimize data storage, processing, and retrieval across modern cloud environments
• Implement data validation, monitoring, and governance frameworks to ensure data integrity and compliance
• Analyze and interpret data to generate insights that drive strategic and operational decision-making
• Empower internal teams with robust data models, metrics, and business intelligence capabilities
• Translate business requirements into technical solutions, factoring in constraints and scalability needs
• Collaborate with stakeholders, analysts, and engineers to deliver enterprise-wide data solutions
• Perform data modeling and prepare datasets for downstream analytics and reporting tools
• Champion data as a strategic enterprise asset by promoting best practices and standards
• Contribute to system data standards, governance, and documentation
• Research and implement innovative and automated approaches to improve platform efficiency
• Design systems that meet requirements for performance, scalability, high availability, recoverability, and security
• Provide technical leadership and mentorship across project teams

Do you have experience in Time management?, * 5+ years of experience in data engineering, including SQL, data warehousing, and cloud-based data platforms

• 2+ years of experience in a project lead or supervisory role (preferred)
• Strong expertise in Databricks and modern data ecosystem tools, including:
• Python, PySpark, and SQL
• Delta Lake and Delta Live Tables
• AWS S3 and cloud storage patterns
• Columnar formats such as Parquet
• AWS Glue and data pipeline orchestration
• Experience designing and implementing lakehouse architectures
• Strong systems analysis skills, with the ability to translate business needs into technical solutions
• Solid understanding of data modeling and database design for analytics
• Experience working in regulated environments (financial services experience is a plus)
• Excellent problem-solving, troubleshooting, and performance optimization skills
• Strong communication skills, with the ability to engage both technical and non-technical stakeholders
• Demonstrated ability to lead initiatives, mentor team members, and influence technical direction
• Strong time management and prioritization skills in fast-paced environments, * Data Engineering : 1 year (Preferred)

Ability to Commute:

• Dublin, OH 43017 (Required)

Pulled from the full job description

• 401(k)
• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance
• Life insurance, * Competitive compensation and benefits package
• 401(k) with company match
• Health, dental, and vision insurance
• Life insurance
• Paid time off
• A collaborative, high-integrity work environment with strong leadership, * 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

IQ Ventures is an established, profitable technology and financial services company serving clients nationwide. Our Dublin, Ohio office offers a modern, collaborative workspace where innovation thrives. We are known for our culture of high integrity, accountability, and collaboration, where both independent thinking and team-driven decision-making are valued. Our leadership team brings deep experience and a commitment to excellence in every aspect of the business.