Top Senior Level Data Engineer Jobs in Chicago, IL
The VP of Business Development will drive growth in the Data & AI practice by qualifying, developing, and closing business opportunities, particularly involving data modernization and analytics. This role involves creating go-to-market plans, collaborating with service teams, and leveraging industry connections to secure new business and foster strategic engagements.
As a Director of Data Science and AI, you will lead a team to apply quantitative methods and develop ML models to deliver customer value and support product development. You will oversee AI/ML solutions, enhance data infrastructure, and collaborate with cross-functional teams while managing and inspiring your team to achieve strategic goals.
As a Database Administrator at iManage, you will oversee the lifecycle of critical Database Server systems within the Cloud Platform Engineering team, focusing on implementation, maintenance, monitoring, and performance optimization for various production databases, including MSSQL and Azure SQL. Your responsibilities will include ensuring availability, analyzing issues in real time, refining automation processes, and providing support for critical production systems.
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The Senior Database Engineer will implement, support, and maintain mission-critical database environments primarily focusing on PostgreSQL and Oracle. Responsibilities include database performance tuning, managing backups and restores, collaborating with engineering teams, and addressing production issues to meet the dynamic needs of the firm.
As a Senior Analytics Engineer II, you'll transform raw data into structured datasets to help the Consumer Analytics team. You'll lead data ingestion workflows using Fivetran, design data pipelines in Snowflake, and implement orchestration with Dagster. You'll ensure data accuracy through validation checks and collaborate with governance teams for compliance.
As a Database Administrator at NinjaTrader, you will ensure the performance, integrity, and security of databases, both on-prem and in the cloud. Responsibilities include maintaining database health, solving issues, optimizing performance, implementing security controls, and overseeing backup and recovery processes for enterprise-level databases.
The Senior Data Engineer will design, develop, and maintain data sourcing and transformation solutions for reporting & analytics, collaborating on a data and analytics platform. Key tasks include leading data ingestion development in Databricks, automating pipelines, documenting processes, and mentoring junior developers.
The Senior Data Engineer will develop production-grade software, build ETL/ELT pipelines, and collaborate with team members to optimize solutions. Responsibilities include working with SQL, Python, and various big data platforms to manage and analyze complex data, ensuring performance and scalability.
The Vice President of Software Development will lead the engineering team, shaping the technology strategy, overseeing the software development lifecycle, and ensuring high-quality delivery of innovative products while aligning with business goals.
The role involves developing and implementing a long-term data strategy to enhance Golin's AI capabilities. Responsibilities include managing data lakes, ensuring data governance, acquiring necessary data from clients and partners, and integrating AI and machine learning solutions into the agency's operations. The position also focuses on innovative data-driven insights and employee education on data utilization.
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