Data Engineering Manager

Corient Services LLC

Miami (FL)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

401(k) Plan with Employer Matching
Subsidized Medical Plan options
Employer paid Dental, Vision & Life Insurance
Training Reimbursement
Volunteer days

Job summary

Corient Services LLC in Miami, Florida, is seeking an experienced Data Engineering Team Leader to drive data projects and mentor engineers. The role involves establishing best practices for data pipelines and ensuring data integrity across all platforms.

The ideal candidate will have significant experience in data engineering, team leadership, and a background in financial services. A degree in a relevant field and proficiency in data engineering languages are also required.

Qualifications

  • 8-12+ years of experience in data engineering, data platform development, or analytics engineering.
  • 3-5+ years of experience leading engineering teams.
  • Background in Financial Services, consulting, or high-growth technology environments preferred.
  • Proven experience building enterprise data platforms supporting reporting and analytics.
  • Hands-on experience with data modeling, ETL/ELT pipelines, analytics engineering, and data operations.

Responsibilities

  • Lead, mentor, and develop a team of data engineers.
  • Plan and manage delivery of data projects across multiple initiatives.
  • Establish engineering best practices across data pipelines.
  • Design and maintain robust data pipelines and workflows.
  • Implement automated QA analytics and monitor data integrity.

Skills

Data engineering languages
SQL
Python
DBT
Analytical skills
Problem-solving
Communication
Documentation skills

Education

Degree in data, computer science or related discipline

Job description

Join a team that values your ambition and empowers your growth. At Corient, we help high- and ultra-high-net-worth individuals and families to enjoy a full life, while enabling them to preserve their wealth for future generations and provide for the people, causes and communities they care about. We focus on exceeding expectations, simplifying lives, and establishing legacies that last for generations. We are always looking for talented and motivated individuals to join our team. If you want to work for a company that values your contributions and supports your growth, we would like to meet you.

Key Responsibilities
  • Data Engineering team leadership. Lead, mentor, and develop a team of data engineers supporting reporting, analytics, data science, AI, and data quality initiatives.
  • Plan and manage delivery of data projects across multiple concurrent data initiatives.
  • Technical data operations and execution. Establish engineering best practices across data pipelines, modeling, data quality, lineage, metadata management, documentation and operational monitoring. Oversee sprint planning, backlog prioritization, and execution across multiple data initiatives.
  • Enterprise Data Layer operation. Design, architect, develop, and maintain robust and scalable data pipelines, transformations, models, and workflows. Develop and operate automated data jobs for data science, analytics, and reporting purposes.
  • Data QA operations. Implement automated QA analytics, reconciliations, and monitoring to ensure data integrity across enterprise platforms and enterprise data layer. Establish data quality frameworks including validation, monitoring, reconciliation, and alerting, ensuring strong governance around data accuracy, completeness, and timeliness across critical datasets.
  • Cross‑functional data engineering support. Support Analytics, Operations, and Business teams in data initiatives, deeply understanding functional requirements and delivering data solutions that meet these needs in a timely and reliable fashion.
Qualifications
  • 8-12+ years of experience in data engineering, data platform development, or analytics engineering.
  • 3-5+ years of experience leading engineering teams.
  • Background in Financial Services, consulting, or high‑growth technology environments preferred.
  • Distinguished academic track record in data, computer science, or related discipline.
  • Proven experience building enterprise data platforms supporting reporting and analytics.
  • Hands‑on experience with data modeling, ETL/ELT pipelines, analytics engineering, and data operations.
Skills and Competencies
  • Proficiency in data engineering languages, frameworks, and tooling, including SQL, Python, and DBT.
  • Strong analytical, problem‑solving, and critical thinking skills.
  • Effective communication, both orally and in writing.
  • Strong documentation and attention to detail.
  • Ability to work independently and collaboratively in a fast‑paced, dynamic environment.
Physical Requirements

This position requires the physical capabilities to work in an office environment, which may include prolonged periods of sitting at a desk and working on a computer. Corient seeks to make reasonable accommodations that enable individuals with disabilities to perform essential duties when possible. This position may require the ability to lift up to 15 pounds. This position is required to work onsite 4 days per week.

U.S. Eligibility Requirements

Must be 18 years of age or older. Must have unrestricted work authorization to work in the United States. For U.S. employment opportunities, Corient hires U.S. citizens or permanent residents. Exceptions to these requirements will be determined based on shortage of qualified candidates with a particular skill. Corient will require proof of work authorization. Corient participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S. If E‑Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E‑Verify once you have accepted a job offer and completed the Form I‑9. Must be willing to execute Corient’s Employee Agreement or Confidentiality and Non‑Disclosure Agreement, which require, among other things, post‑employment obligations relating to non‑solicitation, confidentiality, and non‑disclosure.

What You Can Expect from Us
  • 401(k) Plan with Employer Matching
  • Four Medical Plan options that is generously subsidized by Corient
  • Employer paid Dental, Vision & Life and AD&D Insurance
  • Employer paid Short‑term & Long‑term Disability
  • Paid Maternity & Parental Leave
  • Flexible Spending Accounts & Health Savings Accounts
  • Dependent Care FSA
  • Commuter & Transit FSA
  • Corporate Discount Program – Perkspot
  • Training Reimbursement
  • Paid Professional Designations
  • Giving back to the community – Volunteer days

We are an equal opportunity employer. All candidates will be recruited and, if applicable, selected and employed without regard to sex, race, religion, marital status, veteran status, age, national origin, sexual orientation, gender identity, color, creed, ancestry, disability, genetic information or any other basis prohibited by law.

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