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Associate Data Engineer Jobs in Bloomfield, NJ (NOW HIRING)

Data Engineer

New York, NY Β· On-site +1

$125K - $150K/yr

This position is ideal for an engineer who is passionate about data, eager to learn emerging ... Humana reserves the right to require associates to upgrade their internet service if necessary.

New

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 ...

Data Engineer

New York, NY Β· On-site

$125K - $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 ...

DataBricks Data Engineer

New York, NY Β· On-site

$65 - $68/hr

Databricks Certified Data Engineer Associate or Professional certification is considered an advantage but is not required. W2 employees of Overture Partners who work 30 or more hours per week are ...

Data Engineer Lead

Parsippany, NJ Β· On-site

$115K - $138K/yr

Data Engineer Lead AIG | Data Office Data Engineering About The Role The Data Engineer Lead is a ... AWS certification - Solutions Architect Associate or equivalent. * Domain familiarity with ...

Specialist Data Engineer

New York, NY Β· Hybrid

$114K - $134K/yr

Azure Data Engineer Associate is preferred. * Microsoft Certified: Azure Data Fundamentals is preferred. Knowledge, Skills and Abilities: * Strong knowledge of Big Data architectures, large data ...

Showing results 21-40

Associate Data Engineer information

See Bloomfield, NJ salary details

$10

$19

$31

How much do associate data engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for associate data engineer in Bloomfield, NJ is $19.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $20.43 per hour, depending on experience, location, and employer.

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 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 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 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.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Bloomfield, NJ?

The most popular types of Data Engineer jobs in Bloomfield, NJ are:

What are popular job titles related to Associate Data Engineer jobs in Bloomfield, NJ?

For Associate Data Engineer jobs in Bloomfield, NJ, the most frequently searched job titles are:

What cities near Bloomfield, NJ are hiring for Associate Data Engineer jobs?

Cities near Bloomfield, NJ with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Bloomfield, NJ as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $39,895 per year, or $19.2 per hour.

Senior Associate - Data Architect

Manhattan, NY β€’ Hybrid

New York Life
Colleges, Universities, and Professional SchoolsΒ β€’Β 11 - 50 employees

$124K - $177K/yr

Full-time

Re-posted 11 days ago


Job description

Location Designation:Β Hybrid - 3 days per weekΒ 

Senior Associate - Data Architect

We are seeking an energetic and passionate Senior Data Architect to design and execute our company's modern data management strategy. As a key member of Enterprise Data team, you will collaborate with Data Product Owners, Data Scientists, Data Engineers, and end-users to reimagine, design, and build the next generation of cloud-based insurance solutions using cutting-edge technologies like AWS, APIs, and AI.

What You'll Do:

Design scalable and efficient Logical and Physical data models for enterprise data products storage solutions and lines of businesses

Design operational and analytical data models

Develop data management frameworks and standards to ensure data integrity, quality, and security.

Works closely with Data Product Managers, Value Stream architects, Data engineers to understand the business problems, desired outcomes using data strategy and translating these requirements into data solutions.

Create and maintain inventory and designs of current state data capabilities

Ensure alignment of data models with end-to-end data architecture including performance tuning to adhere to SLAs.

Demonstrated experience as a change agent, successfully leading and implementing organizational change initiatives that drive transformation and improve business outcomes.

Identify and frame opportunities for consolidation / simplification of legacy technologies, data stores, and applications.

Build subject matter expertise to be able to answer business questions as well as support new initiatives from a data knowledge perspective

Enforce data governance policies and procedures as part of the data model

Stay up to date with the latest industry trends and technologies in data management.

Identify opportunities for improvement and innovation within the existing data infrastructure.

Ensure data solutions comply with relevant data privacy and security regulations.

Implement data security measures to protect sensitive information.

What You'll Bring:

5+ years of hands-on experience as a Data Modeler for large-scale enterprise solutions, with a strong focus on agile practices.

Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.

Strong background in Operational Data Stores, Dimensional Modeling, and supporting application data architecture. Experience with Oracle, Postgres, MySQL, and understanding of best practice architectural concepts for relational data models.

Experience in designing, deploying, and evaluating tools, frameworks, and patterns for scalable data platforms.

Extensive experience with industry-leading data platform technologies such as Data Lake, Databricks, Snowflake

Experience with database technologies for both structured and unstructured data, ensuring optimal storage and retrieval.

Extensive hands-on experience in creating STMs

Proficient in cloud architecture and best practices, particularly with AWS Cloud tools such as Amazon RDS, Redshift, AWS DMS, AWS Glue, Amazon S3, AWS Lambda, and more.

Proficient in managing large datasets, cloud computing, open-source tools, and optimization techniques.

Expertise in overall solution architecture for data platforms built on the cloud.

Strong experience in data integration, data processing, data streaming, and message queuing techniques

Familiarity with relevant code repository and project tools like GitHub, JIRA, Confluence.

Experience with Continuous Integration and Continuous Deployment (CI/CD) processes.

Detail-oriented with strong analytical, problem-solving, and organizational skills.

Excellent communication skills, capable of effectively conveying complex concepts both technical and business teams.

Desired Skills:

Solid understanding of the insurance, wealth management or financial services industry

Extensive hands-on development experience with Cloud (AWS, Azure) and Storage services are desirable.

Knowledge of machine learning pipelines and frameworks is a plus.

Experience supporting AI solutions with data product strategy and enabling solutions.

Bachelor's degree in computer science or an Engineering discipline

Certification in data management (structure and unstructured), and/or cloud architecture or engineering a plus

Certification in delivery methodologies such as Scaled Agile a plus.

Pay Transparency

Salary Range:Β $124,000-$177,000Β 

Overtime eligible:Β ExemptΒ 

Discretionary bonus eligible:Β YesΒ 

Sales bonus eligible:Β NoΒ 

Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Company OverviewΒ 

At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.Β 

Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.Β 

As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.Β 

Our Benefits

We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.

Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by theΒ Foundation.Β We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.

Job Requisition ID: 94705


NorCal Orange logo

About NorCal Orange

Sourced by ZipRecruiter

Industry

Colleges, universities, and professional schools

Company size

11 - 50 Employees

Headquarters location

Syracuse, NY, US