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Weekday Financial Data Engineer Jobs in New York

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 ... Experience working in large-scale, enterprise or real estate / financial services data environments.

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Unlike large financial institutions where responsibilities can be narrowly defined, this role offers broad ownership across data architecture, cloud migration, market data engineering, analytics ...

Data Engineer

Jericho, NY · On-site

$118K - $142K/yr

Kimco Realty Corporation is seeking a Data Engineer to design, build, and scale their enterprise ... financial services data environments. Company : Kimco Realty ® (NYSE: KIM) is a real estate ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About You We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking for smart, inquisitive people who enjoy solving ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

Data Engineer

New York, NY

$125K - $150K/yr

About You We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking for smart, inquisitive people who enjoy solving ...

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

Manhattan, NY · Remote

$105K - $115K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary ... Background in financial or payment integrity analytics. Salary: 105,000 - 115,000 Powered by JazzHR ...

Senior Data Engineer

New York, NY · On-site

$150K - $200K/yr

Deep knowledge of financial data across multiple asset classes, including equities, options ... engineering teams. Benefits * Competitive salary plus bonus based on individual and company ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Deep knowledge of financial data across multiple asset classes, including equities, options ... engineering teams. Benefits * Competitive salary plus bonus based on individual and company ...

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

What we're building: - A finance data platform powering the FAIM org (Full-Funnel Agentic ... We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 5+ years architecting ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Deep knowledge of financial data across multiple asset classes, including equities, options ... engineering teams. Benefits * Competitive salary plus bonus based on individual and company ...

DataBricks Data Engineer

New York, NY

$125K - $150K/yr

Databricks Data Engineer We are seeking a skilled and experienced Databricks Data Engineer to join ... Partner with Sales Operations and Finance teams to understand incentive plan rules and translate ...

Databricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer, Databricks Location: New York NY (4 days onsite), w2 only, local candidates only ... Partner with Sales Operations and Finance teams to understand incentive plan rules and translate ...

DataBricks Data Engineer

New York, NY

$125K - $150K/yr

Databricks Data Engineer Our client is seeking a skilled and experienced Databricks Data Engineer ... Partner with Sales Operations and Finance teams to understand incentive plan rules and translate ...

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

Prefer Local to New Jersey as its Hybrid role Someone from financial project background We are seeking an experienced AWS Data Engineer / Data Analyst with hands-on expertise in building scalable ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

GTM, Core Product, and Finance. In this role you will: * Design and manage database architecture ... engineering, data science, or full-stack data role * Expert on SQL and Python (required)

Showing results 41-60

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

$115K - $140K/yr

Full-time

Re-posted 26 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 **