Cerity Partners

Financial Services

DataEngineer

$140–180k New York City, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Engineer at Cerity Partners. Skills: Data engineering, Machine learning, Business intelligence. Design data pipelines. Build data models”

Industry & Context.

Financial Services

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

Free ATS check

Applying for this Data Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Cerity Partners?

Real rants from real employees. Read before you apply.

Read Company Rants →