NEW JERSEY DATA & AIÂ RECRUITMENT
OVERVIEW
Harnham is a leading specialist in Data and AI Recruitment in New Jersey so companies can rely on us to provide the best data professionals for their hiring needs.
Our team of Data and AI expert consultants are highly experienced and well-connected in the New Jersey tech and data communities and are ready to help you find the best talent for your business. So, whether you’re looking to fill a short-term contract role or a permanent position, we’re more than capable of doing it.
We also help data professionals find jobs that are perfectly suited to them by listening to their goals as well as offering them guidance to find the right match for them.
Contact Team Data & AI Staffing New Jersey today. We'll connect you with the best of your local talent pool.
DATA & AI RECRUITMENT AND STAFFING
HOW WE DO IT
Just like the Data & AI professionals we place, Harnham use tried and tested models in our recruitment processes.
By gaining valuable market knowledge across a range of industries and regions, Harnham is able to provide a service which is second to none within our marketplace.
We have seen unprecedented growth in our specialist sector and always have a wide range of vacancies at both junior and senior levels including AI jobs, Data Science jobs, Data Analyst jobs, and Big Data jobs, all available throughout the UK, France, United States, and the Netherlands. To access the best of your local talent pool, contact Team Data & AI Staffing New Jersey today!Â
WHAT SETS US APART FROM OTHER NEW JERSEY DATA & AI STAFFING AGENCIES?
What sets us apart from other Data & AI Recruitment agencies is the tight-knit relationship we have with our clients, the quality of candidates we provide, and our market insights into the Data & AI industries.
With Harnham, you can fill a Data or AI role quickly and easily, and with our expert knowledge of the industry, you can be sure you’re getting the best possible candidate for the job.
Our knowledge is one of our strengths, and we are always available to answer your questions as well as advise you. With Harnham, you can be confident that the data talent you are hiring is the right fit for your needs. Contact Team Data & AI Staffing New Jersey today! Our New Jersey consultants are more than happy to talk with you!
JOBS
LATEST NEW JERSEY
DATA & AI JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Data Engineer – Snowflake
Morristown
$70 - $80
+ Data Engineering
ContractMorristown, New Jersey
To Apply for this Job Click Here
Senior Data Engineer – Snowflake
***We will not be engaging with 3rd party agencies for this role.***
About the Role
We’re looking for a Data Engineer with finance and accounting data experience to support critical financial reporting, reconciliation, billing, and operational accounting workflows. In this role, you will build and optimize cloud‑based data pipelines and financial data models that ensure accuracy, audit readiness, and traceability across the organization.
You’ll partner closely with Finance, Accounting, FP&A, and Analytics teams to translate business requirements into scalable, reliable data solutions. This position is hands‑on, collaborative, and ideal for someone who enjoys solving complex financial data challenges in a modern cloud environment.
What You’ll Do
- Develop, test, and deploy cloud‑based data pipelines supporting financial reporting, close processes, reconciliations, and analytics use cases
- Coordinate with stakeholders and internal team members
- Build and optimize Snowflake data models and DBT transformations for finance and accounting workflows
- Implement SQL transformations, reconciliation logic, and data quality checks
- Collaborate with Finance, Accounting, FP&A, and Analytics teams to define and deliver scalable data solutions
- Support cloud migration of financial and accounting data from on‑premises SQL environments
- Ensure data quality, lineage, auditability, and compliance with financial data standards
- Participate in Agile ceremonies including sprint planning, daily standups, and retrospectives
- Contribute to documentation, testing, and release processes
What You Bring
- 6+ years of experience in data engineering
- Hands‑on experience with Snowflake and AWS cloud‑native data services
- Strong SQL skills, including performance optimization and complex query development
- Experience with DBT or similar modern ELT/ETL tools
- Background working with financial data warehouses or data lakes
- Familiarity with cloud migrations from on‑premises SQL systems
- Understanding of financial data modeling, ETL/ELT best practices, and analytics architecture
- Strong communication skills, especially when working with finance and accounting stakeholders
- Experience in Agile/Scrum environments
- Experience using AI‑assisted development tools (Cortex, Claude, Copilot, Cursor, etc.)
Preferred Qualifications
- 7+ years working with modern ELT/ETL tooling (DBT preferred)
- Expertise tuning and optimizing SQL stored procedures and transformations
- Python experience for data engineering, automation, or financial data processing
- Experience supporting financial close cycles, reconciliations, audits, or executive financial reporting
- Familiarity with real‑time or near‑real‑time data processing
- Knowledge of Git, CI/CD pipelines, DevOps tools, Jira, and Confluence
- Exposure to regulated financial systems or healthcare‑related financial data (nice to have)
Location – Remote (Hybrid 1 day onsite in Morristown, NJ if commutable
Pay – $70/hr – $80/hr
Length: Extendable, 6 months initial contract
Utilization: 40 hours per week

To Apply for this Job Click Here
Senior Data Engineer
Morristown
$70 - $80
+ Data Engineering
ContractMorristown, New Jersey
To Apply for this Job Click Here
Data Engineer
***We will not be engaging with 3rd party agencies for this role.***
About the Role
We’re looking for a Data Engineer with finance and accounting data experience to support critical financial reporting, reconciliation, billing, and operational accounting workflows. In this role, you will build and optimize cloud‑based data pipelines and financial data models that ensure accuracy, audit readiness, and traceability across the organization.
You’ll partner closely with Finance, Accounting, FP&A, and Analytics teams to translate business requirements into scalable, reliable data solutions. This position is hands‑on, collaborative, and ideal for someone who enjoys solving complex financial data challenges in a modern cloud environment.
What You’ll Do
- Develop, test, and deploy cloud‑based data pipelines supporting financial reporting, close processes, reconciliations, and analytics use cases
- Build and optimize Snowflake data models and DBT transformations for finance and accounting workflows
- Implement SQL transformations, reconciliation logic, and data quality checks
- Collaborate with Finance, Accounting, FP&A, and Analytics teams to define and deliver scalable data solutions
- Support cloud migration of financial and accounting data from on‑premises SQL environments
- Ensure data quality, lineage, auditability, and compliance with financial data standards
- Participate in Agile ceremonies including sprint planning, daily standups, and retrospectives
- Contribute to documentation, testing, and release processes
What You Bring
- 4-6+ years of experience in data engineering or a related discipline
- Experience developing data solutions for finance and accounting domains (e.g., general ledger, revenue, billing, payments, financial reporting)
- Hands‑on experience with Snowflake and AWS cloud‑native data services
- Strong SQL skills, including performance optimization and complex query development
- Experience with DBT or similar modern ELT/ETL tools
- Background working with financial data warehouses or data lakes
- Familiarity with cloud migrations from on‑premises SQL systems
- Understanding of financial data modeling, ETL/ELT best practices, and analytics architecture
- Strong communication skills, especially when working with finance and accounting stakeholders
- Experience in Agile/Scrum environments
- Experience using AI‑assisted development tools
Preferred Qualifications
- 3+ years working with modern ELT/ETL tooling (DBT preferred)
- Expertise tuning and optimizing SQL stored procedures and transformations
- Python experience for data engineering, automation, or financial data processing
- Experience supporting financial close cycles, reconciliations, audits, or executive financial reporting
- Familiarity with real‑time or near‑real‑time data processing
- Knowledge of Git, CI/CD pipelines, DevOps tools, Jira, and Confluence
- Exposure to regulated financial systems or healthcare‑related financial data (nice to have)
Location – Remote (Hybrid 1 day onsite in Morristown, NJ if commutable
Pay – $70/hr – $80/hr
Length: Extendable, 3-6 months initial contract
Utilization: 40 hours per week

To Apply for this Job Click Here
Data Engineer
Short Hill
$120000 - $140000
+ Data Engineering
PermanentNew Jersey
To Apply for this Job Click Here
Senior Data Engineer
Location: New Jersey
Remote: Hybrid (2 days on-site per week)
Salary: $120,000 – $140,000 base + 10% target bonus (flexible for outstanding profiles)
Visa: No sponsorship
Company
The organization is modernizing a fragmented legacy environment into a cloud-native data platform built on Databricks and Azure. With strong revenue growth and national expansion underway, data engineering has become a strategic pillar to support pricing, risk, analytics, and operational decision-making across the business.
The Role
- Design, build, and optimize end-to-end data pipelines on Databricks using Python, PySpark, and SQL.
- Implement and evolve Medallion architecture standards (Bronze, Silver, Gold) across multiple data domains.
- Develop ingestion frameworks for batch and streaming data, including structured and semi-structured sources.
- Partner with actuarial, analytics, underwriting, claims, and marketing teams to deliver trusted, production-grade data.
- Contribute to data governance, observability, cost optimization, and CI/CD best practices within Databricks.
Desired Profile
- 5-7+ years of experience in Data Engineering with strong, hands-on Databricks expertise.
- Proven ability to build, explain, and own production-grade pipelines from ingestion to consumption.
- Deep understanding of Medallion architecture and schema evolution strategies.
- Strong Python and PySpark coding skills, with solid SQL performance tuning experience.
- Experience working with cloud data lakes (Azure preferred) and modern file formats (Delta, Parquet, JSON, XML).

To Apply for this Job Click Here
We are the global leaders in Data & AI recruitment
With over 15 years of experience working solely in the Data & AI sector, our New Jersey-focussed consultants are able to offer detailed insights and support into the industry.
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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