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Data Engineer Data Analyst Jobs in Paramus, NJ (NOW HIRING)

This could include roles such as data analyst, data scientist, data engineer, or similar positions * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Data Engineer

Manhattan, NY

$125K - $150K/yr

The selected candidate will serve as a Data Engineer, performing complex data engineering, data ... Key Responsibilities: - Perform data analysis, data profiling, data modeling, source-to-target ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

New York, NY · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations

Data Engineer

New York, NY · On-site

$125K - $150K/yr

It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise in your data domains and use that understanding to decide what's worth building next. About You

Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations

Data Engineer

New York, NY · On-site

$125K - $150K/yr

It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise in your data domains and use that understanding to decide what's worth building next. About You

Data Engineer

Manhattan, NY · Hybrid

$125K - $150K/yr

... analysis, and creates open data and civic engagement tools. The Department of City Planning offers ... Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering ...

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... You will primarily partner with the Analytics and Infrastructure Engineering teams internally at ...

Data Engineer

Manhattan, NY · On-site

$115K - $135K/yr

The Data Engineer will play a key role in designing, building, and maintainig scalable data pipelines, curated analytical data models, and cloud-based data products that support enterprise supply ...

Data Engineer

Manhattan, NY · Hybrid

$125K - $150K/yr

... analysis, and creates open data and civic engagement tools. The Department of City Planning offers ... Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering ...

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

In this role, you will work closely with senior data engineers, data scientists, and analysts to support the development, maintenance, and optimization of our data infrastructure. You will play a ...

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers ...

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers ...

Showing results 21-40

Data Engineer Data Analyst information

See Paramus, NJ salary details

$34.4K

$83.6K

$137.6K

How much do data engineer data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer data analyst in Paramus, NJ is $83,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,200.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Paramus, NJ? For Data Engineer Data Analyst jobs in Paramus, NJ, the most frequently searched job titles are:
What cities near Paramus, NJ are hiring for Data Engineer Data Analyst jobs? Cities near Paramus, NJ with the most Data Engineer Data Analyst job openings:

Data Engineer, Product Analytics

Meta

New York, NY

$114K/yr

Full-time

Re-posted 11 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies


Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
  • Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
  • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
  • Design, build and launch new data models and visualizations in production, leveraging common development toolkits
  • Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
  • Support existing processes running in production and implement optimized solutions with limited guidance
  • Define and manage Service Level Agreements for data sets in allocated areas of ownership

Minimum Qualifications:
  • 2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$114,000/year to $173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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