Sr Data Engineer

Vivmark Residential; Chicago (IL); Hybrid; USD 155,000 - 189,000; Full time

Benefits offered by this job

Discretionary bonus

Hybrid work model

Job summary

Vivmark Residential is seeking a Senior Data Engineer to lead the design, development, and optimization of data pipelines and storage for a centralized data platform. This role ensures data readiness for analysis and reporting while aligning data architecture with business needs in a hybrid Chicago environment.

Challenging responsibilities include mentoring peers, evaluating new data technologies, and collaborating with data scientists to scale ML workflows.

Qualifications

• 6+ years of data engineering experience.
• Bachelor’s degree in a related field; Master’s or higher is a plus.
• Strong Python and SQL with expertise in data orchestration tools.
• Experience with data transformation, modeling, and cloud data warehouses.
• Proven leadership and mentoring abilities; strong collaboration skills.

Responsibilities

• Own design, architecture, and implementation of data pipelines and storage.
• Mentor teammates with technical guidance and SME input.
• Evaluate new data technologies to improve efficiency.
• Collaborate with data scientists to scale ML workflows.
• Implement advanced data transformations and aggregation processes.
• Drive data engineering best practices and standards.
• Participate in cross-functional project planning and execution.
• Manage and optimize cloud resources and costs.
• Improve data quality, lineage, and metadata management.
• Partner with business stakeholders to prioritize data needs.

Skills

Python

SQL

Leadership

Mentoring

Communication

Project management

Data modeling

Data orchestration

Cost optimization

Education

Bachelor’s degree in Computer Science, Software/Computer Engineering, Mathematics, or related discipline

Tools

Prefect

Airflow

dbt

Snowflake

BigQuery

Apache Spark

Azure

Git

CI/CD

Job description

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