360 Technology
Senior Data Engineer (Fixed Income / Capital Markets) | New York City, NY (Local
360 Technology, New York, New York, us, 10261
Senior Data Engineer (Fixed Income / Capital Markets) | New York City, NY (Local only) | W2 Only
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Role:
Senior Data Engineer (Fixed Income / Capital Markets) | W2 Only
Location:
New York City, NY (Onsite)
Duration:
Long-Term Contract
Note:
Need
local candidates
with strong
Fixed Income / Capital Markets domain experience
Job Description
We are seeking a
Senior Data Engineer
to design, develop, and optimize
data pipelines
and analytics solutions supporting front-to-back office operations within the
Fixed Income / Capital Markets domain . The ideal candidate will be an expert in
Kafka, Snowflake, and Python , with a proven track record of building high-performance data systems for financial applications.
Key Responsibilities
Lead the development and optimization of
batch and real-time data pipelines , ensuring scalability, reliability, and performance.
Architect, design, and deploy
data integration, streaming, and analytics solutions
using
Spark, Kafka, and Snowflake .
Collaborate across teams to ensure
end-to-end delivery
and proactively support peers in achieving project milestones.
Troubleshoot and resolve technical performance issues; recommend tuning and optimization solutions.
Design and maintain a
Reference Data System
leveraging
Kafka, Snowflake, and Python .
Ensure data quality, consistency, and compliance with enterprise and regulatory standards.
Required Skills & Experience
Proven experience in
data pipeline design, development, and maintenance
using
Kafka, Snowflake, and Python .
Strong knowledge of
distributed data processing
and
streaming architectures .
Hands‑on experience with
Snowflake
(data loading, optimization, and performance tuning).
Proficiency in
Python
for data manipulation, automation, and orchestration.
Expertise in
Kafka ecosystem
(Confluent, Kafka Connect, Kafka Streams).
Solid understanding of
SQL ,
data modeling , and
ETL/ELT frameworks .
Exposure to
cloud platforms
(AWS, Azure, GCP) preferred.
Experience in Trade Processing, Settlement, and Reconciliation across Equities, Fixed Income, Derivatives, or FX.
Deep understanding of trade lifecycle events, order types, allocation rules, and settlement processes.
Exposure to Funding, Planning & Analysis, Regulatory Reporting, and Compliance functions.
Familiarity with regulatory frameworks such as Dodd-Frank, EMIR, MiFID II, or equivalent.
Seniority level Mid-Senior level
Employment type Contract
Job function
Consulting, Engineering, and Information Technology
Software Development and IT Services and IT Consulting
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Role:
Senior Data Engineer (Fixed Income / Capital Markets) | W2 Only
Location:
New York City, NY (Onsite)
Duration:
Long-Term Contract
Note:
Need
local candidates
with strong
Fixed Income / Capital Markets domain experience
Job Description
We are seeking a
Senior Data Engineer
to design, develop, and optimize
data pipelines
and analytics solutions supporting front-to-back office operations within the
Fixed Income / Capital Markets domain . The ideal candidate will be an expert in
Kafka, Snowflake, and Python , with a proven track record of building high-performance data systems for financial applications.
Key Responsibilities
Lead the development and optimization of
batch and real-time data pipelines , ensuring scalability, reliability, and performance.
Architect, design, and deploy
data integration, streaming, and analytics solutions
using
Spark, Kafka, and Snowflake .
Collaborate across teams to ensure
end-to-end delivery
and proactively support peers in achieving project milestones.
Troubleshoot and resolve technical performance issues; recommend tuning and optimization solutions.
Design and maintain a
Reference Data System
leveraging
Kafka, Snowflake, and Python .
Ensure data quality, consistency, and compliance with enterprise and regulatory standards.
Required Skills & Experience
Proven experience in
data pipeline design, development, and maintenance
using
Kafka, Snowflake, and Python .
Strong knowledge of
distributed data processing
and
streaming architectures .
Hands‑on experience with
Snowflake
(data loading, optimization, and performance tuning).
Proficiency in
Python
for data manipulation, automation, and orchestration.
Expertise in
Kafka ecosystem
(Confluent, Kafka Connect, Kafka Streams).
Solid understanding of
SQL ,
data modeling , and
ETL/ELT frameworks .
Exposure to
cloud platforms
(AWS, Azure, GCP) preferred.
Experience in Trade Processing, Settlement, and Reconciliation across Equities, Fixed Income, Derivatives, or FX.
Deep understanding of trade lifecycle events, order types, allocation rules, and settlement processes.
Exposure to Funding, Planning & Analysis, Regulatory Reporting, and Compliance functions.
Familiarity with regulatory frameworks such as Dodd-Frank, EMIR, MiFID II, or equivalent.
Seniority level Mid-Senior level
Employment type Contract
Job function
Consulting, Engineering, and Information Technology
Software Development and IT Services and IT Consulting
Referrals increase your chances of interviewing at 360 Technology by 2x
Get notified about new Data Engineer jobs in New York, NY.
#J-18808-Ljbffr