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Weekday Financial Data Engineer Jobs in New Jersey

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Support financial reporting, accounting, and regulatory data use cases * Enforce data engineering ... standards, security best practices, and governance policies Required Skills & Qualifications:

The Sr Financial Data Analyst uses tools such as Power Desktop/Power BI Report Builder (SSRS) to ... Key skills include proficiency in programming/query languages, data analysis, and strong ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Standard Position Overview We are seeking a hands-on Data Engineer with strong experience building scalable enterprise data solutions within Financial Services environments. The ideal candidate will ...

We are seeking a hands-on Data Engineer with strong experience in building scalable enterprise data solutions within Financial Services environments. The ideal candidate will have expertise in cloud ...

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products ... The Data Engineer is critical to the ongoing development and support of Data Warehousing projects ...

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products ... The Data Engineer is critical to the ongoing development and support of Data Warehousing projects ...

Data Engineer

Pennington, NJ · On-site

$115K - $138K/yr

RIT Solutions, Inc. is seeking a Data Engineer to work on data-centric AI projects. The role ... Required : • Hadoop • Spark • PySpark • SQL (Expertise) Preferred : • Banking/financial ...

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Engineer for a right to hire assignment with one of our premier financial services clients in Rutherford, NJ . Responsibilities

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Grow your career as a Data Engineer with an innovative global bank in Rutherford, NJ. Contract role ... financial services worldwide. You will work alongside some of the smartest minds in the industry ...

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Showing results 1-20

Weekday Financial Data Engineer information

What is the difference between Weekday Financial Data Engineer vs Financial Data Analyst?

AspectWeekday Financial Data EngineerFinancial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentData engineering teams, technical departments, often in tech-driven financial firmsFinance departments, investment firms, or banks, focusing on data interpretation
Employer & Industry UsageFinancial institutions, fintech companies, hedge fundsBanking, asset management, investment firms

Weekday Financial Data Engineers focus on building and maintaining data pipelines and infrastructure, while Financial Data Analysts interpret data to support decision-making. Both roles require strong analytical skills, but the engineer role emphasizes technical data management, whereas the analyst role centers on data analysis and reporting.

What are the most commonly searched types of Financial Data Engineer jobs in New Jersey?

The most popular types of Financial Data Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Weekday Financial Data Engineer jobs?

Cities in New Jersey with the most Weekday Financial Data Engineer job openings:

Data Engineer with Python / SQL - Onsite (Fulltime)

The Dignify Solutions, LLC

Jersey City, NJ • On-site

$125K - $150K/yr

Full-time

Re-posted 16 days ago


Job description

Job Summary:
The Dignify Solutions, LLC is seeking a Senior Data Engineer with strong programming experience in building ETL/ELT programs. The role involves developing production-ready data ingestion and processing pipelines using Python and SQL, with a focus on cloud-native solutions, particularly in Azure environments.
Responsibilities:
• A Senior Data Engineer with strong programming experience in building ETL/ELT programs using SQL , Python and DBT.
• 10 years of overall experience with 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python, SQL Programming.
• 3+ years of experience in ETL/ELT pipeline development with DBT and Snowflake.
• Strong hands-on experience with Airflow is preferable
• Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
• Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers.
• Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
• Strong experience in cloud-native data pipeline development, preferably on Azure.
• Background in banking/capital markets or financial data is a plus.
• Passionate about data observability, monitoring, and scalable data architecture
Qualifications:
Required:
• A Senior Data Engineer with strong programming experience in building ETL/ELT programs using SQL, Python and DBT.
• 10 years of overall experience with 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python, SQL Programming.
• 3+ years of experience in ETL/ELT pipeline development with DBT and Snowflake.
• Strong hands-on experience with Airflow is preferrable.
• Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
• Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers.
• Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
• Strong experience in cloud-native data pipeline development, preferably on Azure.
• Passionate about data observability, monitoring, and scalable data architecture.
Preferred:
• Background in banking/capital markets or financial data is a plus.
Company:
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains). Founded in , the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Dignify Solutions logo

About Dignify Solutions

Sourced by ZipRecruiter

The Dignify Best Serves To Its Clients By Adhering To And Executing Superior Processes. The company is dedicated to operational excellence as part of a client-centric mindset that assures consistent execution. The Dignify has developed and refined every step in the full lifecycle staffing fulfillment and consultant management practice

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US