Data Engineer | New York | Hybrid

Blutic; New York, Northern (NY, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Blutic seeks a Data Engineer with 5+ years of experience in ETL, database and reporting development to design and build scalable real-time/batch pipelines for OTC derivatives data, migrate datasets, and develop regulatory and business reports using SQL, Python, Snowflake, DB2, and tools like Business Objects or Tableau.

This is a W2 hybrid opportunity in New York, focusing on data reconciliation, data modeling, CI/CD in Agile environments, and strict governance and privacy controls (GDPR/CCPA).

Qualifications

• : 5+ years of ETL and reporting experience.
• : 5+ years of SQL and stored procedures experience.
• : 5+ years building ETL pipelines.
• : 5+ years with Snowflake and DB2 databases.
• : Knowledge of reporting tools like Business Objects or Tableau.

Responsibilities

• Design and build scalable ETL pipelines to ingest, transform and load large volumes of OTC derivatives data for downstream reporting and analytics.
• Develop and optimize database objects, stored procedures and batch processes that support ETL workflows, report generation and data delivery.
• Design data models, schemas, SQL views and stored procedures to support efficient ETL processing and regulatory, operational and business reporting.
• Build and maintain real-time and batch ETL pipelines for trade and confirmation data ingestion, transformation, reconciliation and report-ready data provisioning.
• Support data migration and onboarding activities by building validation routines, reconciliation checks and ETL cutover processes to ensure reporting continuity.
• Develop, automate and support regulatory and business reports using Python, SQL stored procedures and enterprise reporting platforms such as Business Objects and Tableau.
• Write complex SQL queries, stored procedures and reusable reporting logic to generate accurate, timely outputs for business users and regulatory consumers.
• Ensure strong data controls, access governance and quality checks across ETL pipelines, reporting datasets and database environments.
• Participate in Agile delivery and contribute to automation, scheduling and CI/CD practices for ETL jobs, reporting workflows and production deployments.
• Provide production support for ETL and reporting processes, including job monitoring, issue triage, data reconciliation and root cause analysis.

Skills

ETL

Database

Reporting

SQL

Data modeling

Python

Data reconciliation

Data governance

Agile/DevOps

Tools

Snowflake

DB2

Business Objects

Tableau

Azure/GCP/AWS

Job description

Blutic is seeking a Data Engineer with 5+ years of experience in ETL, database, and reporting development. The role focuses on designing and building scalable real-time/batch pipelines for OTC derivatives data, migrating/onboarding datasets, and developing regulatory and business reports using SQL, Python, Snowflake, DB2, and tools like Business Objects or Tableau. Key qualifications include strong experience with data reconciliation, data modeling, Agile/DevOps CI/CD practices, and enforcing strict data security, governance, and privacy standards (GDPR/CCPA).

This is a W2 (Hybrid) opportunity.

Location : New York

Experience : 5+ Years

Responsibilities

• Design and build scalable ETL pipelines to ingest, transform and load large volumes of OTC derivatives data for downstream reporting and analytics.
• Develop and optimize database objects, stored procedures and batch processes that support ETL workflows, report generation and data delivery.
• Design data models, schemas, SQL views and stored procedures to support efficient ETL processing and regulatory, operational and business reporting.
• Build and maintain real-time and batch ETL pipelines for trade and confirmation data ingestion, transformation, reconciliation and report-ready data provisioning.
• Support data migration and onboarding activities by building validation routines, reconciliation checks and ETL cutover processes to ensure reporting continuity.
• Develop, automate and support regulatory and business reports using Python, SQL stored procedures and enterprise reporting platforms such as Business Objects and Tableau.
• Write complex SQL queries, stored procedures and reusable reporting logic to generate accurate, timely outputs for business users and regulatory consumers.
• Ensure strong data controls, access governance and quality checks across ETL pipelines, reporting datasets and database environments.
• Participate in Agile delivery and contribute to automation, scheduling and CI/CD practices for ETL jobs, reporting workflows and production deployments.
• Provide production support for ETL and reporting processes, including job monitoring, issue triage, data reconciliation and root cause analysis.

Requirements

• 5+ years of experience in ETL and reporting development
• 5+ years of experience with SQL and writing stored procedures
• 5+ years of experience building ETL pipelines
• 5+ years of experience in Snowflake and DB2 databases.
• Strong knowledge of SQL for reporting and data analysis
• Have Worked in Agile, DevOps and Git
• 3-5 years of experience with Python for ETL and report generation
• Perform of data validation and reconciliation.
• Knowledge of reporting tools such as Business Objects or Tableau is good to have.
• Experience in cloud platforms (Azure/GCP/AWS) good to have

Job ID

BT-J0288

Job Type

Full Time

Location

New York

Date Posted