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Senior Data Engineer Jobs in Ridgewood, NJ (NOW HIRING)

Bright Mind Solutions LLC

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

Need Local as for onsite interview Senior Data Engineer Location: Hybrid 3 days a week onsite Duration: 6 month contract to hire We're looking for a Senior Data Engineer to lead the development of ...

Beam Impact

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

About the role As a Senior Data Engineer on our Engineering team with a focus on data development, you will be working with a team of talented developers responsible for helping create and maintain ...

Raylu, Inc

Senior Data Engineer

New York, NY · On-site

$165K - $230K/yr

Position Summary We're hiring a Senior Data Engineer to own data at truly massive scale. You'll design and run pipelines that clean, enrich, and serve data spanning hundreds of attributes across 80M ...

TranSquared inc

senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

Hello New York City, NY or Manhattan NY- HYBRID 50% Onsite and 50% Remote "We are looking for a senior Data Engineer. The candidate should have 7+ years' experience with Data Lake/Data Analytics/Data ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY · On-site

$127K - $137K/yr

Responsibilities As a Senior Data Engineer on DAPI's Tetris team, you will own the design and delivery of complex data engineering solutions that power NYBCe's enterprise analytics, AI, and reporting ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY

$127K - $137K/yr

As a Senior Data Engineer on DAPI's Tetris team, you will own the design and delivery of complex data engineering solutions that power NYBCe's enterprise analytics, AI, and reporting capabilities.

New York Blood Center Inc

Senior Data Engineer

Rye, NY

$112K - $152K/yr

Responsibilities As a Senior Data Engineer on DAPI's Tetris team, you will own the design and delivery of complex data engineering solutions that power NYBCe's enterprise analytics, AI, and reporting ...

SPECTRAFORCE TECHNOLOGIES Inc.

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Senior Data Engineer Duration: 06 months (potential to hire) Location: Newark, NJ We are seeking a hands-on Senior Data Engineer with strong Denodo experience to design, build, and maintain scalable ...

EliseAI

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

About The Role As a Senior Data Engineer, you will be a crucial member of our Engineering team, driving our mission to leverage data as a strategic asset. You'll work closely with cross-functional ...

Saransh Inc

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/yr

Senior Data Engineer - Position Summary The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. This role focuses on data ...

Incca

Senior Data Engineer

Manhattan, NY

$160K/yr

The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who ...

Incca

Senior Data Engineer

Manhattan, NY · On-site

$160K/yr

The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who ...

Trexquant Investment

Senior Data Engineer

New York, NY · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ...

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Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Ridgewood, NJ

Senior Data Engineer information

See Ridgewood, NJ salary details

$82K

$127.8K

$177.1K

How much do senior data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior data engineer in Ridgewood, NJ is $127,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $145,700.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are popular job titles related to Senior Data Engineer jobs in Ridgewood, NJ?

For Senior Data Engineer jobs in Ridgewood, NJ, the most frequently searched job titles are:

What cities near Ridgewood, NJ are hiring for Senior Data Engineer jobs?

Cities near Ridgewood, NJ with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $127,817 per year, or $61.5 per hour.

Senior Data Engineer Investment Banking / Risk

Hudson Data LLC

Manhattan, NY • On-site

$116K - $158K/yr

Other

Posted 13 days ago

Job description

Job Title: Senior Data Engineer Investment Banking / Risk
Location: New York, NY
Type: W2 role
Domain: Capital Markets Investment Banking & Risk

Role Summary

We are seeking a Senior Data Engineer to design, build, and optimize large-scale data pipelines supporting Investment Banking and Risk functions. The ideal candidate combines deep hands-on engineering expertise in the Azure Databricks ecosystem with a strong understanding of financial risk data (market risk, credit risk, counterparty risk, regulatory reporting). This role partners closely with quants, risk analysts, and front-office stakeholders to deliver trusted, performant, and audit-ready data products.

Key Responsibilities

  • Design and build scalable ETL/ELT pipelines on Azure Databricks using PySpark and Spark SQL to ingest, transform, and curate large volumes of trade, position, market, and reference data.
  • Develop and maintain the Medallion (Bronze/Silver/Gold) architecture on Delta Lake, ensuring data quality, lineage, and reconciliation across risk and finance datasets.
  • Translate risk and regulatory requirements (e.g., Basel, FRTB, CCAR, VaR, PFE, stress testing) into robust data models and engineering solutions.
  • Optimize Spark jobs for performance and cost partitioning, caching, broadcast joins, Z-ordering, and cluster tuning.
  • Build and orchestrate workflows using Databricks Workflows / Azure Data Factory, integrating with ADLS Gen2, Azure Key Vault, and CI/CD pipelines.
  • Implement data quality, validation, and controls frameworks appropriate to a regulated financial environment.
  • Collaborate with quants and risk teams to productionize models and analytical datasets.
  • Contribute to code reviews, engineering standards, and documentation.

Required Qualifications

  • 7+ years of data engineering experience, with 3+ years in Investment Banking, Capital Markets, or Risk.
  • Strong domain knowledge of risk data market risk, credit risk, counterparty risk, P&L, or regulatory/reg reporting.
  • Expert-level Python for data engineering (Pandas, PySpark APIs, modular/production-grade code).
  • Advanced PySpark and Spark SQL for distributed data processing at scale.
  • Hands-on Azure Databricks and Delta Lake experience (notebooks, Unity Catalog, clusters, jobs).
  • Strong SQL skills complex queries, window functions, performance tuning.
  • Experience with the broader Azure data stack: ADLS Gen2, Azure Data Factory, Key Vault, Synapse (a plus).
  • Solid understanding of data modeling (dimensional, normalized), data warehousing, and lakehouse patterns.
  • Experience with version control (Git), CI/CD, and Agile delivery.

Preferred / Nice-to-Have

  • Databricks certification (Data Engineer Associate/Professional).
  • Exposure to trade lifecycle, OTC derivatives, fixed income, or equities data.
  • Familiarity with regulatory frameworks (FRTB, Basel III/IV, BCBS 239).
  • Experience with streaming (Structured Streaming, Kafka/Event Hubs).
  • Knowledge of data governance, lineage, and Unity Catalog access controls.

Education

Bachelor's or Master's in Computer Science, Engineering, Finance, or a related quantitative field.

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