> Markdown version of [/jobs/ext/542691-data-engineer](https://www.wearedevelopers.com/jobs/ext/542691-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** Cerity Partners
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Cloud Computing, Computer Programming, Databases, Data Files, Data Governance, Data Infrastructure, Data Integration, Python (Programming Language), PostgreSQL, Power BI, Salesforce.Com, SQL Databases, Sql Optimization, Git, Graphql, Restful APIs, Data Pipelines
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a36c2f9d2f80e123

## About the Role

Do you have experience in Salesforce Cloud?, * 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 experience useful
 * Ability to work independently with a geographically distributed team
 * Acute attention to detail
 * Love of problem solving and being challenged
 * Willingness to try new things
 * Strong communication skills

## Description

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., * 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.


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 168: Hacking Postgres, Blocking Meta and Fixing CSS](https://www.wearedevelopers.com/magazine/588-dev-digest-168-hacking-postgres-blocking-meta-and-fixing-css)