Sr. Data Engineer with ITIL
Accord Technologies Inc, New York, NY, United States
Sr. Data Engineer with ITIL (Snowflake, SnowSQL, Python, Pyspark) (ServiceNow or Jenkins)
Location
New York City, NY
Position type
W2 contract
Responsibilities
Data Engineering & Platform Development (60%)
Design, develop, and maintain scalable, reliable data pipelines and ETL/ELT processes using Snowflake, SnowSQL, Python, and PySpark
Architect and implement data models, warehouses, and data marts in Snowflake optimized for financial services analytics
Develop and optimize complex SQL queries, stored procedures, and UDFs within Snowflake environment
Implement data quality frameworks, monitoring, and validation processes
Build real-time and batch data processing solutions for trading, risk, compliance, and customer analytics
Collaborate with data scientists and analysts to productionize machine learning models and advanced analytics
ITIL Process Integration & DevOps (30%)
Implement and maintain CI/CD pipelines using Jenkins for automated testing, deployment, and monitoring of data solutions
Integrate data engineering workflows with ServiceNow for incident management, change control, and service requests
Follow ITIL framework for incident, problem, change, and release management processes
Develop and maintain comprehensive documentation, runbooks, and knowledge articles in ServiceNow
Participate in ITIL-based change advisory board (CAB) meetings for production deployments
Ensure compliance with ITIL service level agreements (SLAs) and operational level agreements (OLAs)
Governance & Collaboration (10%)
Work closely with IT Service Management teams to align data engineering practices with ITIL standards
Mentor junior data engineers and conduct knowledge sharing sessions
Participate in disaster recovery planning and business continuity exercises
Ensure compliance with banking regulations (SOX, GDPR, CCAR) and data governance policies
Collaborate with global teams across Tokyo, London, and Singapore offices
Technical Skills Needed
9+ years experience with Snowflake architecture, SnowSQL, and Snowpark
Expert in Snowflake features: Time Travel, Zero-Copy Cloning, Data Sharing, Secure Views
Strong experience with Snowflake administration, security, and performance tuning
Programming & Big Data:
7+ years experience with Python for data engineering (Pandas, NumPy, SQLAlchemy)
5+ years with PySpark for large-scale data processing
Advanced SQL skills with complex query optimization
ITIL & DevOps Tools (One Required):
Experience with ITSM modules, CMDB integration, and workflow automation
Extensive experience building and maintaining CI/CD pipelines for data applications
Experience with AWS/Azure cloud platforms
Knowledge of containerization (Docker, Kubernetes)
Infrastructure as Code (Terraform, CloudFormation)
Mandatory ITIL Framework Experience.
9+ years practical experience implementing ITIL processes in data/technology environments.
Experience with ITIL Incident Management, Problem Management, and Change Management.
Understanding of ITIL Service Strategy, Design, Transition, and Operation phases
Ability to document processes and maintain knowledge bases in ITIL-aligned systems
Financial services/banking industry experience required.
Understanding of banking data domains: trading, risk, compliance, customer, transactions
ITIL Intermediate/Practitioner certifications
Snowflake SnowPro Core or Advanced certifications
AWS/Azure cloud certifications
Experience with financial data platforms (Bloomberg, Refinitiv, etc.)
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Location
New York City, NY
Position type
W2 contract
Responsibilities
Data Engineering & Platform Development (60%)
Design, develop, and maintain scalable, reliable data pipelines and ETL/ELT processes using Snowflake, SnowSQL, Python, and PySpark
Architect and implement data models, warehouses, and data marts in Snowflake optimized for financial services analytics
Develop and optimize complex SQL queries, stored procedures, and UDFs within Snowflake environment
Implement data quality frameworks, monitoring, and validation processes
Build real-time and batch data processing solutions for trading, risk, compliance, and customer analytics
Collaborate with data scientists and analysts to productionize machine learning models and advanced analytics
ITIL Process Integration & DevOps (30%)
Implement and maintain CI/CD pipelines using Jenkins for automated testing, deployment, and monitoring of data solutions
Integrate data engineering workflows with ServiceNow for incident management, change control, and service requests
Follow ITIL framework for incident, problem, change, and release management processes
Develop and maintain comprehensive documentation, runbooks, and knowledge articles in ServiceNow
Participate in ITIL-based change advisory board (CAB) meetings for production deployments
Ensure compliance with ITIL service level agreements (SLAs) and operational level agreements (OLAs)
Governance & Collaboration (10%)
Work closely with IT Service Management teams to align data engineering practices with ITIL standards
Mentor junior data engineers and conduct knowledge sharing sessions
Participate in disaster recovery planning and business continuity exercises
Ensure compliance with banking regulations (SOX, GDPR, CCAR) and data governance policies
Collaborate with global teams across Tokyo, London, and Singapore offices
Technical Skills Needed
9+ years experience with Snowflake architecture, SnowSQL, and Snowpark
Expert in Snowflake features: Time Travel, Zero-Copy Cloning, Data Sharing, Secure Views
Strong experience with Snowflake administration, security, and performance tuning
Programming & Big Data:
7+ years experience with Python for data engineering (Pandas, NumPy, SQLAlchemy)
5+ years with PySpark for large-scale data processing
Advanced SQL skills with complex query optimization
ITIL & DevOps Tools (One Required):
Experience with ITSM modules, CMDB integration, and workflow automation
Extensive experience building and maintaining CI/CD pipelines for data applications
Experience with AWS/Azure cloud platforms
Knowledge of containerization (Docker, Kubernetes)
Infrastructure as Code (Terraform, CloudFormation)
Mandatory ITIL Framework Experience.
9+ years practical experience implementing ITIL processes in data/technology environments.
Experience with ITIL Incident Management, Problem Management, and Change Management.
Understanding of ITIL Service Strategy, Design, Transition, and Operation phases
Ability to document processes and maintain knowledge bases in ITIL-aligned systems
Financial services/banking industry experience required.
Understanding of banking data domains: trading, risk, compliance, customer, transactions
ITIL Intermediate/Practitioner certifications
Snowflake SnowPro Core or Advanced certifications
AWS/Azure cloud certifications
Experience with financial data platforms (Bloomberg, Refinitiv, etc.)
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