Cerity Partners
Financial Services
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at Cerity Partners. Skills: Data engineering, Machine learning, Business intelligence. Design data pipelines. Build data models”
Industry & Context.
What They're Looking For.
Must Have
7+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
Nice to Have
PhD preferred, Experience with scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
Design data pipelines
Develop ETL processes
Implement data warehousing solutions
Perform data analysis
Apply machine learning techniques
Conduct statistical analysis
Perform quantitative analysis
Optimize data infrastructure
Collaborate with stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders
Full Job Description
**Position Summary** We are looking for someone whose mindset is about data models and who speaks fluent SQL to join our data team. As a data engineer at Cerity Partners you will play a leading role maintaining the current--and architecting the future--state of our data pipelines, analytics, and reporting. Data is what empowers our advisors, operations, and management to provide exceptional service to our clients and to continue our growth as one of the leading RIA firms in America. **Primary Responsibilities** * Design Data Models: Structure data and create database schemas that capture data as it exists and as it relates to other data. * Build Data Pipelines: Create, maintain, and optimize data pipelines and data sets. * Data Integration: Extract, transform, and push data to other systems and BI tools. * Database Management: Help build our database infrastructure and maintain it so that the organization’s data remains available and our systems performant. * Optimization: Identify and replace data models and queries that lead to performance issues. Fix issues with systems and data that lead to downtime or unexpected behavior. * Collaboration: Work with other stakeholders to develop and deliver the data they need to be successful. * Data Governance: Proactively identify data that is sensitive and take steps to address its storage and usage. * Data Quality: Data comes from many different systems and in many different formats. Build internal tooling and reporting to identify bad data, and gaps in data, so that end users can work with the data without worry. **Required Qualifications** * 7+ years of experience as a data engineer * 5-10+ years of programming experience * PostgreSQL, Python, dbt, Airflow, Git, advanced SQL * REST APIs (GraphQL a plus) * Cloud infrastructure expertise (particularly around managed databases) * Multiple years of experience with financial services data models (wealth management preferred) * CRM experience (Salesforce preferred) * PowerBI exp
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