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Director Data Engineering Jobs in Howell, NJ (NOW HIRING)

Willis Re

Data Engineering Lead

New York, NY · On-site

... Data Engineering Lead to drive its implementation. This is a deeply hands-on role. You will spend ... Direct and quality-assure the work of strategic delivery partners, reviewing their designs and code ...

FanDuel

Data Engineering Manager

New York, NY

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support ... direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and ...

FanDuel

Data Engineering Manager

New York, NY · On-site

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support ... direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and ...

Optimize Partners

Director, Data Science

New York, NY · Hybrid

... Director, Data Science to lead, motivate, and manage a team of 7 data scientists, including ... Python programming * Extensive, hands-on experience with relevant methodologies in classical ...

Aviva

Head of Data Engineering

New York, NY · On-site

Extended Team and Partner Leadership • Direct a leveraged delivery model: mobilize Aviva group data engineering capabilities, lead contracted vendor teams, own the commercial and performance ...

EvolutionIQ

Director, Data Insights

New York, NY · On-site

$280K/yr

As the Director, Data Insights, you will be the primary bridge between our technical depth and our ... Take the raw output from our data science and engineering teams and synthesize it into "Board-ready ...

EvolutionIQ

Director, Data Insights

New York, NY · On-site

$280K/yr

As the Director, Data Insights, you will be the primary bridge between our technical depth and our ... Take the raw output from our data science and engineering teams and synthesize it into "Board-ready ...

Omnicom

Director, Data Operations

New York, NY · On-site

Data Engineering Team Overview With the adoption of Omni as Omnicom's marketing insights and data ... Expert in business intelligence technologies; direct use of PowerBI or Salesforce Marketing Cloud ...

Deckers

Data Architecture Lead

New York, NY · Remote

Director, Data Architecture Location: United States (Remote) Interested applicants must reside in ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

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Showing results 21-40

All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Howell, NJ

Director Data Engineering information

See Howell, NJ salary details

$73.3K

$195.5K

$255K

How much do director data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for director data engineering in Howell, NJ is $195,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,100.00 and $254,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What cities near Howell, NJ are hiring for Director Data Engineering jobs? Cities near Howell, NJ with the most Director Data Engineering job openings:
Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Howell, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $195,508 per year, or $94 per hour.

Data Engineering Lead

Willis Re

New York, NY • On-site

Full-time

Medical, Retirement, PTO

Posted 18 days ago

Job description

Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. Our Snowflake data lake platform sits at the centre of that estate, and we are looking for a Data Engineering Lead to drive its implementation.
This is a deeply hands-on role. You will spend most of your time building on Snowflake and establishing how data is tagged, catalogued, governed and quality-assured across the business, working alongside our architects and directing strategic delivery partners who build with you.
Key Responsibilities:
  • Snowflake Development: Spend the majority of your time hands-on in Snowflake, architecting and building the platform and its surrounding ecosystem, including ingestion, transformation, data models, curated data products, and warehouse, performance and cost design for high-volume reinsurance placement, exposure, claims and market data.
  • Tagging & Cataloguing: Establish and maintain data tagging, classification and cataloguing, so that data across the platform is discoverable, well described and correctly labelled for sensitivity and business meaning.
  • Data Governance: Own governance for the platform, covering ownership and stewardship, lineage, access policies, retention obligations and cross-border data residency, working with security, risk and the business.
  • Data Quality: Define and implement data quality controls, automated testing, monitoring and reconciliation, and make quality visible and measurable to data consumers.
  • Scale & Archival: Design the platform to handle growing data volumes predictably, defining partitioning and clustering, storage tiering, retention and archival strategy, and keeping performance and cost under control as the estate grows.
  • Architecture Contribution: Contribute to the data architecture, working with the Solution Architect and Head of Architecture & Engineering to shape target-state designs and feed real-world constraints back into them.
  • Vendor Leadership: Direct and quality-assure the work of strategic delivery partners, reviewing their designs and code and holding them to the agreed standards.
  • Engineering Standards: Set how the team builds, covering CI/CD for data, automated testing, observability and infrastructure-as-code.
  • Grow the Team: Mentor engineers, raise the technical bar, and help shape how the data engineering function scales.

About You
You are a hands-on data engineering leader who is comfortable owning delivery in a fast-moving, greenfield environment with a lean core team and strategic delivery partners. Ideally you will bring:
  • Experience: 10 + years in data engineering, including experience leading the delivery of a significant data platform end to end.
  • Snowflake Depth: Deep, current, hands-on Snowflake expertise, having both built and architected across the platform and its surrounding ecosystem. This includes warehouse sizing, performance and cost optimisation, RBAC and access design, object tagging and masking policies, ingestion (Snowpipe, Streams and Tasks), sharing and marketplace, AI and ML capabilities such as Cortex, and transformation and orchestration tooling such as dbt.
  • Governance & Cataloguing: A strong track record establishing data governance in practice, covering tagging and classification, data catalogues, lineage, stewardship and access policies.
  • Data Quality: Practical experience implementing data quality frameworks, automated testing and monitoring, and driving measurable improvement.
  • Data Modelling: Deep expertise in data modelling and warehouse design, with sound judgement on schema design, performance and cost at high volume.
  • Scale & Archival: Proven experience running data platforms at high volume, including partitioning and clustering strategies, storage tiering, and defining retention and archival approaches that satisfy long-term regulatory obligations without runaway cost.
  • Technical Stack: Strong SQL and Python, with practical experience of pipeline orchestration, ELT tooling, CI/CD (Azure DevOps or GitHub Actions) and infrastructure-as-code (Terraform/Bicep) on Azure.
  • Architecture & Compliance: Enough architectural depth to shape platform design and challenge it constructively, and experience building to security and compliance requirements in regulated financial services.
  • Vendor Delivery: Experience leading or quality-assuring work delivered by vendors and partners, including the ability to challenge designs constructively and enforce standards without direct authority.
  • AI Foundations: Hands-on experience with Snowflake Cortex AI, or building AI and analytics use cases on data you have modelled yourself, is a significant advantage. Familiarity with AI-assisted engineering tools such as Claude Code or Claude Cowork is a plus.
  • Leadership & Communication: Ability to lead engineers, influence stakeholders and explain technical trade-offs clearly to both technical and business audiences.

Compensation
Range: $160,000 - $180,000 - $200,000
Bonus: 20%
The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs.
The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs.
About Willis Re
We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused.
At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management.
The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking.
Willis Re will also leverage recognized technical expertise from WTW's Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW's Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.
Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at talentacquisition@willisre.com

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