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.

• 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

• 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 Big Query
  , 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

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

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

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

• 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