Sr Data Engineer

Vivmark Residential is seeking a Senior Data Engineer to lead the design, development, implementation, and optimization of data pipelines and storage solutions for a centralized data platform and enterprise data model. The role focuses on ensuring data readiness for analysis and reporting while evaluating emerging technologies and strengthening scalable data infrastructure.

Key Responsibilities

• Own the design, architecture, and implementation of complex data pipelines and storage solutions
• Mentor teammates and peers by providing technical guidance and subject-matter expertise
• Evaluate and recommend new data technologies and tools to improve operational efficiency
• Collaborate with data scientists to optimize and scale machine learning workflows
• Implement advanced data transformations and aggregation processes
• Drive data engineering best practices and standards across the team
• Participate in cross-functional project planning and execution
• Manage and optimize cloud resources and costs for data processing workloads
• Lead initiatives to improve data quality, lineage, and metadata management
• Partner with business stakeholders to understand and prioritize data needs for strategic initiatives

Required Qualifications

• 6+ years of relevant experience in data engineering or a related field
• Bachelor’s degree in Computer Science, Software/Computer Engineering, Mathematics, or a related discipline (Master’s or higher is a plus)
• Advanced proficiency in Python and SQL (expert proficiency in other general-purpose programming languages is considered)
• Extensive experience with data orchestration tools such as Prefect or Airflow
• Experience with data transformation and modeling tools such as dbt, and data warehouse technologies such as Snowflake and BigQuery, or data processing frameworks such as Apache Spark
• Hands-on experience with version control systems and CI/CD tools
• Hands-on experience with a major cloud platform required, with Azure preferred
• Leadership skills for mentoring and guiding junior team members
• Problem-solving skills for complex data engineering challenges
• Effective communication for collaboration with cross-functional teams
• Project management abilities for overseeing multiple data projects

Technologies

• Python, SQL
• Prefect, Airflow
• dbt
• Snowflake, BigQuery
• Apache Spark
• Azure
• CI/CD, version control systems

Location and Work Schedule

Chicago, IL (hybrid). The current work schedule requires employees to be onsite Monday through Thursday, with the option to work remotely on Fridays.

Compensation

• Salary: USD 155,000 - 189,000 per year
• Discretionary bonus: 13% annual bonus in addition to base salary

Physical and Visual Activities

• Ability to hear and speak well enough to converse verbally over the phone and in-person
• Ability to interpret, evaluate, and communicate detailed written or verbal instructions accurately
• Ability to see well enough to use a computer effectively and read written communications
• Ability to lift, push, pull, or carry up to 15 pounds for moving documents, supplies, or materials within the office or facility
• May be required to climb stairs depending on the property structure