Sr Data Engineer
About The Position
The Senior Data Engineer plays a pivotal role in building Vivmark Residential’s centralized data platform and developing its enterprise data model. This role leads the design, development, implementation, and optimization of data pipelines and storage solutions so data is available for analysis and reporting. The Senior Data Engineer evaluates and recommends technologies, enforces data quality standards, and leads the technical aspects of cross-functional project planning. The role contributes data engineering and architecture expertise to establish robust, scalable infrastructure that supports the organization’s data-driven objectives. The position requires at least six years of relevant experience and a bachelor’s degree in a related discipline. The successful candidate will use advanced programming, data orchestration, transformation, modeling, warehouse or processing, version control, CI/CD, and cloud-platform skills, while mentoring teammates and collaborating with data scientists and business stakeholders. The current schedule requires onsite work Monday through Thursday, with the option to work remotely on Fridays. Salary is $155,000–$189,000 per year, with a discretionary annual bonus of 13%. Starting pay depends on job-related skills, experience, and qualifications.
Requirements
- At least 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.
- Advanced proficiency in Python and SQL, or expert-level proficiency in alternative general programming languages.
- Extensive experience with data orchestration tools such as Prefect or Airflow.
- Strong experience with data transformation and modeling tools such as dbt; data warehouse technologies such as Snowflake and BigQuery; or data processing frameworks such as Apache Spark.
- Extensive experience with version control systems and CI/CD tools.
- Hands-on experience with a major cloud platform.
- Leadership skills to mentor and guide junior team members.
- Problem-solving skills for complex data engineering challenges.
- Effective communication skills for collaboration with cross-functional teams.
- Project management abilities to oversee multiple data projects.
Nice To Haves
- Master’s degree or higher is a plus.
- Azure cloud-platform experience is preferred.
Responsibilities
- Lead the design, architecture, and implementation of complex data pipelines and storage solutions.
- Mentor teammates and peers by providing technical guidance and expertise.
- Evaluate and recommend data technologies and tools to improve 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 related to data processing.
- Lead efforts to improve data quality, lineage, and metadata management.
- Collaborate with business stakeholders to understand and prioritize data needs for strategic initiatives.
Benefits
- Discretionary annual bonus of 13%.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
