Top Senior Level Financial Services Data Engineering Jobs in New York City, NY

Reposted 4 Days AgoSaved
Hybrid
New York, NY, USA
100K-140K Annually
Senior level
100K-140K Annually
Senior level
Fintech • Payments • Financial Services
The Analytics Engineer will build and optimize data systems, analyze catalog performance, and collaborate across teams to enhance decision-making processes.
Top Skills: Bi Tools (LookerPythonSQLTableau)
Reposted 5 Days AgoSaved
In-Office
New York, NY, USA
90K-150K Annually
Senior level
90K-150K Annually
Senior level
Fintech • Financial Services
The Data Engineer will design and implement ETL frameworks, perform data analysis, troubleshoot data issues, and optimize data models to meet business needs.
Top Skills: AutosysData Modeling ToolsGraph DatabaseJavaLinux ShellPower DesignerPysparkPythonSQLStardog
Reposted 7 Days AgoSaved
Hybrid
New York, NY, USA
150K-150K Annually
Senior level
150K-150K Annually
Senior level
Financial Services
The Data Engineer will design and optimize ETL pipelines, integrate data, ensure data integrity, tune SQL queries, troubleshoot issues, and collaborate with teams to create data solutions.
Top Skills: Aws AthenaAws GlueAws RdsAws S3ETLGitInformixMySQLPostgresPythonShellSQLSQL Server
Reposted 8 Days AgoSaved
In-Office
New York, NY, USA
140K-170K Annually
Senior level
140K-170K Annually
Senior level
Fintech • Payments • Financial Services
The Data Architect will design scalable data platforms and governance frameworks, manage large datasets, and enhance data accessibility for researchers, leveraging cloud technologies and collaboration with application architects.
Top Skills: AWSBig Data TechnologiesCloud Data PlatformsDataopsDistributed Query EnginesSQL
Reposted 9 Days AgoSaved
In-Office or Remote
New York, NY, USA
50K-120K Annually
Senior level
50K-120K Annually
Senior level
Fintech • Software • Financial Services
As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.
Top Skills: AirflowAthenaAws GlueBigQueryCi/CdDbtPrestoPythonRedshiftSnowflakeSparkSQL
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Reposted 9 Days AgoSaved
Hybrid
New York, NY, USA
138K-173K Annually
Senior level
138K-173K Annually
Senior level
Professional Services • Financial Services
The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.
Top Skills: AdpAvalaraBillsoftGreat PlainsOraclePeoplesoftSAPSovosThomson ReutersVertexWorkday
Reposted 10 Days AgoSaved
In-Office
New York, NY, USA
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Financial Services
Design and maintain data pipelines and lake platforms, optimize data processing with cloud technologies and collaborate with team members for AI initiatives.
Top Skills: AthenaAWSAws GlueDockerEmrIcebergKafkaLambdaPysparkPythonS3SQL
Reposted 10 Days AgoSaved
In-Office
New York, NY, USA
Senior level
Senior level
Fintech • Financial Services
The AI-Native Data Platform Engineer will design data foundations for AI systems in wealth management, architecting data pipelines, models, and frameworks to enable autonomous financial agents.
Top Skills: Aws (S3EcsGlueLambdaOpensearch)PythonRedshiftSQL
11 Days AgoSaved
In-Office
New York, NY, USA
130K-170K Annually
Senior level
130K-170K Annually
Senior level
Financial Services
The role involves designing and scaling data infrastructures for private equity, developing ETL/ELT pipelines, ensuring data quality, and collaborating with various teams on data governance.
Top Skills: Apache AirflowSparkAWSAzureDbtKafkaPandasPolarsPythonSnowflakeSQL
11 Days AgoSaved
In-Office
New York City, NY, USA
163K-255K Annually
Senior level
163K-255K Annually
Senior level
Financial Services
The role involves designing, building, and maintaining ERP data pipelines, ensuring their reliability and supporting data integration initiatives. Responsibilities include troubleshooting, implementing SDLC best practices, and collaborating with stakeholders to optimize data-related outcomes.
Top Skills: EltErpETLPythonSQLWorkday
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