Sr Data Engineer

Vivmark Residential offers a hybrid schedule in Chicago, with an onsite cadence Monday through Thursday and the option to work remotely on Fridays. This role supports the growth of a centralized data platform and enterprise data model, with opportunities to build reliable pipelines, strengthen data quality, and evaluate modern tools that improve how teams access and use data. Compensation includes a base salary of $155,000 to $189,000 per year plus a discretionary 13% annual bonus.

What you’ll do

• Lead the design, architecture, and implementation of complex data pipelines and storage solutions for a centralized platform
• Drive advanced data transformations and aggregation processes to support analysis and reporting
• Improve data quality through standards, and lead efforts around data lineage and metadata management
• Evaluate and recommend new data technologies, orchestration, and tooling to improve efficiency
• Collaborate with data scientists to optimize and scale machine learning workflows
• Manage and optimize cloud resources and costs related to data processing
• Mentor teammates and peers by providing technical guidance and expertise
• Set and reinforce data engineering best practices across the team
• Participate in cross-functional planning and execution, including prioritizing data needs with business stakeholders

What you’ll bring

• 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-level proficiency in alternative general programming languages is considered)
• Extensive experience with data orchestration tools such as Prefect or Airflow
• Strong background in data transformation and modeling tools like dbt, plus warehouse and processing technologies such as Snowflake, BigQuery, and/or Apache Spark
• Extensive 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
• Ability to solve complex data engineering challenges
• Clear communication skills for collaborating across cross-functional teams
• Project management abilities to oversee multiple data projects

Technology stack

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

Work schedule and physical requirements

Onsite Monday through Thursday, with remote work available on Fridays.

• Ability to hear and speak clearly enough for phone and in-person conversations
• Ability to interpret, evaluate, and communicate detailed written or verbal instructions
• Ability to see well enough to use a computer and read written communications
• Ability to lift, push, pull, or carry up to 15 pounds to disseminate documents and supplies
• May be required to climb stairs depending on the property structure