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Associate Data Engineer Jobs in Fort Lee, NJ (NOW HIRING)

Kimco Realty Corporation

Data Engineer

Jericho, NY · On-site

$115K - $140K/yr

The Data Engineer will play a critical role in designing, building, and scaling Kimco's enterprise ... Fabric Analytics Engineer Associate) or equivalent AWS certifications, or Snowflake/Databricks ...

Kimco Realty Corporation

Data Engineer

Jericho, NY · On-site

$118K - $142K/yr

Fabric Analytics Engineer Associate) or equivalent AWS certifications, or Snowflake/Databricks ... cloud data platform migrations and modernization initiatives. • Knowledge of CI/CD ...

GEI Consultants

Data Engineer

Manhattan, NY

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

BNY

Associate, Data Governance

New York, NY · On-site

$52K - $70K/yr

Associate, Data Governance At BNY, our culture allows us to run our company better and enables ... related engineering background * Strong Excel skills and data analysis experience * Strong SQL ...

Innova Solutions, Inc

DataBricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Databricks Certified Data Engineer Associate or Professional certification is a plus. Qualified candidates should APPLY NOW for immediate consideration! This position is only open to applicants who ...

cyberThink, Inc.

Data Engineer

Englewood Cliffs, NJ · On-site

$116K - $140K/yr

Relevant certifications (Databricks Lakehouse Associate, Google Professional Data Engineer, AWS Certified Data Analytics Specialty, etc.). * Background supporting data platforms in regulated ...

New York Blood Center

Senior Data Engineer

Rye, NY · On-site

$137K/yr

Azure Data Engineer Associate * Databricks Certified Associate Developer for Apache Spark Knowledge: * Advanced SQL and Python for enterprise-scale data engineering-optimization, testing, and ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY · On-site

$127K - $137K/yr

Azure Data Engineer Associate * Databricks Certified Associate Developer for Apache Spark Knowledge: * Advanced SQL and Python for enterprise-scale data engineering-optimization, testing, and ...

New York Life

Associate - Data Scientist

Manhattan, NY

$81K - $115K/yr

You will collaborate closely with Data Scientists, Engineers, and product and technology partners while developing an understanding of model lifecycle management, responsible AI principles, and New ...

New York Life

Associate - Data Scientist

Manhattan, NY

$81K - $115K/yr

You will collaborate closely with Data Scientists, Engineers, and product and technology partners while developing an understanding of model lifecycle management, responsible AI principles, and New ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY

$127K - $137K/yr

Azure Data Engineer Associate * Databricks Certified Associate Developer for Apache Spark Knowledge: * Advanced SQL and Python for enterprise-scale data engineering--optimization, testing, and ...

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Showing results 21-40

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Fort Lee, NJ

Associate Data Engineer information

See Fort Lee, NJ salary details

$10

$19

$32

How much do associate data engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for associate data engineer in Fort Lee, NJ is $19.56, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Fort Lee, NJ? The most popular types of Data Engineer jobs in Fort Lee, NJ are:
What are popular job titles related to Associate Data Engineer jobs in Fort Lee, NJ? For Associate Data Engineer jobs in Fort Lee, NJ, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Fort Lee, NJ look for? The top searched job categories for Associate Data Engineer jobs in Fort Lee, NJ are:
What cities near Fort Lee, NJ are hiring for Associate Data Engineer jobs? Cities near Fort Lee, NJ with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Fort Lee, NJ as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,678 per year, or $19.6 per hour.

Data Engineer

Kimco Realty Corporation

Jericho, NY • On-site

$115K - $140K/yr

Full-time

Re-posted 23 days ago

Job description

******Unless specifically contracted, resumes from recruiting agencies are not being accepted for this position.*****
The Data Engineer will play a critical role in designing, building, and scaling Kimco's enterprise data platform in the cloud. This role is responsible for developing modern data pipelines, enabling trusted analytics, and ensuring the reliability, security, and performance of cloud-based data solutions. While Kimco is a Microsoft-first organization (Azure/Microsoft Fabric), experience delivering comparable solutions on AWS and/or with Snowflake and/or Databricks is also valued. The role partners closely with business, analytics, and engineering teams to translate complex data requirements into scalable, future-proof architectures. This role will drive modernization initiatives, establish data engineering best practices, and mentor team members while continuously improving data quality, accessibility, and operational efficiency.
Key Responsibilities
  • Design, build, and maintain scalable, secure, and cost-efficient data solutions on a cloud data platform (Microsoft Azure/Microsoft Fabric preferred; AWS and comparable platforms considered).
  • Develop and optimize modern ETL/ELT pipelines supporting enterprise systems such as Salesforce, MRI, and other internal and external data sources.
  • Lead cloud data platform modernization and migration initiatives, reducing manual processes and improving data reliability.
  • Define and enforce data architecture, governance, security, and quality standards across the data ecosystem.
  • Partner closely with BI and analytics teams to enable trusted reporting and insights (e.g., Power BI and semantic models) across the organization.
  • Ensure high performance, availability, and cost efficiency through monitoring, performance tuning, and continuous optimization.
  • Translate complex business requirements into scalable, future-proof data architectures in collaboration with business and engineering stakeholders.
  • Support the development of training materials and conduct workshops for team members
  • Evaluate and adopt new data technologies and capabilities (e.g., Microsoft Fabric, Azure services, Snowflake, Databricks) to drive innovation and long-term platform scalability.
  • Contribute to the company's purpose by improving the data platform and analytics capabilities that enable better decision-making and positive impact.
  • Travel up to 15%.

Qualifications
Required
  • Bachelor's degree in computer science, Engineering, Information Systems, or equivalent practical experience.
  • 5+ years of experience in data engineering, with at least 3+ years designing and delivering cloud-based data solutions (Azure preferred; AWS and other major cloud platforms considered).
  • Hands-on experience with modern cloud data engineering tools and services, such as Microsoft Fabric (Data Factory, Synapse), Azure Data Factory/Azure Synapse, Databricks, and/or Snowflake.
  • Proven expertise in building and optimizing large-scale ETL/ELT pipelines for high-volume, enterprise data environments.
  • Advanced SQL skills and experience with data modeling for analytics and reporting workloads.
  • Experience integrating data from enterprise systems such as Salesforce, ERP/property management platforms (e.g., MRI), or similar SaaS applications.
  • Solid understanding of data governance, security, data quality, and access control within cloud data platforms (Azure preferred).
  • Demonstrated ability to translate complex business requirements into scalable, production-grade data architectures.
  • Strong communication skills with the ability to collaborate effectively across business, analytics, and engineering teams.

Preferred
  • Cloud and data platform certifications (Azure preferred), such as DP-203 (Data Engineering on Microsoft Azure) or DP-600 (Microsoft certified: Fabric Analytics Engineer Associate) or equivalent AWS certifications, or Snowflake/Databricks credentials.
  • Hands-on experience with Power BI and enabling self-service analytics through a governed semantic layer (Microsoft Fabric experience a plus).
  • Familiarity with cloud cost optimization, performance tuning, and monitoring of data platforms at scale.
  • Experience with cloud data platform migrations and modernization initiatives.
  • Knowledge of CI/CD, infrastructure-as-code, and automated deployment patterns for data solutions.
  • Experience working in large-scale, enterprise or real estate / financial services data environments.

The expected salary range for this position is between $115,000 and $140,000. The actual compensation will be based on factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, market and business considerations and other factors permitted by law.
** Kimco Realty is an Equal Opportunity Employer - Veteran/Disability **

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