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Director Data Engineer Jobs (NOW HIRING)

Cresset Capital

DIRECTOR, DATA ENGINEER

Denver, CO · On-site

$200K - $225K/yr

As part of the technology team, you will report to the Managing Director, Head of Investment and ... The right candidate is a seasoned data engineer who operates independently, mentors junior team ...

Cresset Capital

DIRECTOR, DATA ENGINEER

Denver, CO · On-site

$117.90K - $141.50K/yr

As part of the technology team, you will report to the Managing Director, Head of Investment and ... The right candidate is a seasoned data engineer who operates independently, mentors junior team ...

Cresset Capital

DIRECTOR, DATA ENGINEER

Denver, CO · On-site

$117.80K - $141.50K/yr

As part of the technology team, you will report to the Managing Director, Head of Investment and ... The right candidate is a seasoned data engineer who operates independently, mentors junior team ...

Sapient

Director Data Engineering

Manhattan, NY · On-site

$168K - $252K/yr

Director Data Engineering - TMT Publicis Sapient is looking for a Director, Data Engineering to lead top-notch technologists to enable real business outcomes for our enterprise Technology, Media and ...

MasterCard

Director, Data Engineering

Boston, MA · On-site

Title and Summary Director, Data Engineering Overview: We are looking for a Director, Data ... , SRE, and Infrastructure teams to ensure observability, resiliency, and operational maturity.

MasterCard

Director, Data Engineering

Purchase, NY · On-site

Title and Summary Director, Data Engineering Overview: We are looking for a Director, Data ... , SRE, and Infrastructure teams to ensure observability, resiliency, and operational maturity.

Pittsburgh International Airport

Lead the standardization data definitions and support data architects and data engineers to ... Direct the development of enterprise-wide BI dashboards and self-service reporting solutions.

Prodigious Worldwide

Director, Data Engineering

Miami, FL · On-site

$135.38K - $185.20K/yr

Director, Data Engineering This is a leadership overseeing our data engineering practice. This position is a mixture of hands-on architecting and developing data engineering components and providing ...

MCKESSON

Director Data Engineering

Irving, TX

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US ... Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert) * Databricks ...

McKesson

Director Data Engineering

Irving, TX

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US ... Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert) * Databricks ...

McKesson

Director Data Engineering

Irving, TX · On-site

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US ... Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert) * Databricks ...

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How much do director data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for director data engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director Data Engineer, and why are they important?

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

How does a Director Data Engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

What does a Director Data Engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.
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What cities are hiring for Director Data Engineer jobs? Cities with the most Director Data Engineer job openings:
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Director Data Engineer jobs near you
Infographic showing various Director Data Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 57% Full Time, 36% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

DIRECTOR, DATA ENGINEER

Cresset Capital

Denver, CO • On-site

$200K - $225K/yr

Other

Posted 26 days ago

Job description

About Cresset
Cresset is a firm built by clients, for clients. As an independent, award-winning multi-family office and private investment firm, we are reimagining the way wealth is experienced. Our purpose is to help ensure that both wealth and life are fully optimized*-integrated, intentional, and aligned with each client's vision of success.
We provide access to the caliber of talent, ideas, and investment opportunities typically available to the largest single-family offices and institutions. Our approach is personalized, entrepreneurial, and client-first.
Proudly owned by our clients and employees, Cresset was built to endure. We are creating a 100+ year firm-one focused on delivering an exceptional experience, not only for the families we serve but for the team that serves them. Our commitment to clients has earned recognition by Barron's and Forbes, listing us among the nation's top RIA firms. Cresset is guided by long-term relationships, shared success, and a belief that wealth should serve a life well lived. Learn more at www.cressetcapital.com.
Job Description:
As part of the technology team, you will report to the Managing Director, Head of Investment and Data Technology and will be a lead contributor in building, scaling, and maintaining Cresset's data platform. A core focus of this role is the design and delivery of end-to-end custodial feed integrations, ingesting and normalizing data from custodians and financial data vendors into our central data platform. You will bring a deep understanding of the RIA and wealth management data landscape and will work closely with investment operations, trading, operations, technology, and business leadership to ensure our data infrastructure supports the firm's growth and analytical needs. The right candidate is a seasoned data engineer who operates independently, mentors junior team members, and has a track record of owning complex integrations from inception through production.
Key Responsibilities:
  • Design, build, and maintain end to end custodial and financial data feed integrations, including ingestion, normalization, reconciliation, and delivery of data from custodians, third party data vendors, and portfolio accounting systems.
  • Architect and develop scalable ETL and ELT pipelines using Databricks, Matillion, dbt and Python to move and transform data across the platform.
  • Help augment the Snowflake data warehouse, including data modeling, schema design, stored procedures, from raw ingestion through reporting ready gold layer tables.
  • Build and maintain dbt models to transform and document data within Snowflake, ensuring consistency, testability, and lineage across the warehouse.
  • Collaborate with stakeholders to understand data requirements and translate them into reliable, well-documented data pipelines and data products.
  • Develop and support Power BI data models and semantic layers that give analysts and business users access to clean, performant data for self-service reporting.
  • Contribute to and enforce engineering best practices including version control in Git, CI/CD pipeline management and documentation in Confluence and Jira.
  • Serve as a technical resource and mentor to associate and mid-level engineers on the team, providing guidance on architecture decisions, code quality, and domain knowledge.
  • Stay current with developments in the financial data and RIA technology ecosystem, proactively identifying opportunities to improve data quality, coverage, and integration efficiency.
  • Partner with the AI and machine learning team to understand data requirements for AI driven tools and initiatives, ensuring that clean, well structured, and properly governed data is reliably delivered to support model development, feature engineering, and production AI workflows.

Qualifications:
  • Bachelor's degree in computer science, engineering, information systems, or a related field.
  • 7 or more years of experience in data engineering, with at least 3 years working in the financial services, RIA, or wealth management industry.
  • Proven experience building and maintaining custodial feed integrations with major custodians such as Schwab, Fidelity, Pershing, or similar, including file based and API driven data delivery models.
  • Deep proficiency with all data tools within our stack.
  • Strong Python skills applied to data engineering workflows including pipeline development, data wrangling, API integrations, and scripting.
  • Experience with dbt for data transformation, testing, and documentation within a cloud data warehouse environment.
  • Working knowledge of Matillion or similar ETL orchestration tools for building and managing data pipelines.
  • Proficiency with AWS services relevant to data engineering including S3, Glue, and Lambda
  • Experience with Power BI, including building semantic models and datasets that support reliable self-service analytics.
  • Solid understanding of Git based version control and experience working within CI/CD workflows.
  • Strong communication skills with the ability to work effectively across technical and non-technical stakeholders.
  • Experience with portfolio reporting platforms such as Addepar and OMS platforms such as Charles River are a plus.

*Wealth Optimized, Life Elevated refers to the firm's philosophy and process in providing advisory and planning services and is not intended to convey a guarantee of results.
**Disclosures related to awards, recognitions, and rankings available here.
Cresset refers to Cresset Capital Management, LLC and its respective direct and indirect subsidiaries and controlled affiliates. For full list of Cresset subsidiaries and controlled affiliates, please see cressetcapital.com/disclosures/.

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