Senior Data Engineer

New York Technology Partners

Johnston (RI)

On-site

USD 120,000 - 180,000

Full time

18 hours ago
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Job summary

New York Technology Partners is seeking a senior data engineer to own and optimize a broad portfolio of enterprise data pipelines. You will troubleshoot complex production issues, coordinate across ETL, DBA, infrastructure, scheduling, and source-system teams, and lead automated recovery and data quality initiatives.

The role requires deep T-SQL expertise, experience with large-scale production environments, and strong communication with business and technical stakeholders.

Qualifications

  • 8+ years of data engineering or enterprise data warehouse experience.
  • Advanced expertise in T-SQL, query optimization, stored procedures, and relational database design.
  • Experience supporting and maintaining a large portfolio of production data pipelines in a complex enterprise environment.
  • Strong troubleshooting and root cause analysis skills for rapid production issue resolution.
  • Ability to work independently with minimal supervision and take ownership of outcomes.
  • Excellent written and verbal communication with business, operations, and technical stakeholders.

Responsibilities

  • Own support, maintenance, and continuous improvement of a large portfolio of enterprise data pipeline jobs.
  • Troubleshoot complex production issues, lead recovery efforts, coordinate across ETL, DBA, infrastructure, scheduling, and source-system teams.
  • Develop and optimize complex T-SQL solutions, including stored procedures and data validation routines.
  • Design and implement proactive monitoring, data quality controls, and automated recovery mechanisms.
  • Analyze source-system changes, assess downstream impacts, and lead data integration enhancements.
  • Serve as a technical SME for data lineage, data models, audit frameworks, and batch processing.

Skills

T-SQL
Query optimization
Stored procedures
Relational database design
ETL
Production data pipelines
Troubleshooting
Stakeholder communication

Job description

  • Own the support, maintenance, and continuous improvement of a large portfolio of enterprise data pipeline jobs spanning ingestion, transformation, and downstream data delivery processes.
  • Troubleshoot complex production issues, lead recovery efforts, and coordinate activities across ETL, DBA, infrastructure, scheduling, and source-system teams.
  • Develop and optimize complex T-SQL solutions, including stored procedures, performance tuning, data validation routines, reconciliation processes, and operational controls.
  • Design and implement proactive monitoring, data quality controls, and automated recovery mechanisms to improve platform reliability.
  • Analyze source-system changes, assess downstream impacts, and lead implementation of data integration enhancements across hundreds of interconnected data assets.
  • Serve as a technical SME for data lineage, data models, audit frameworks, batch processing, and operational workflows.
Required Qualifications
  • 8+ years of data engineering, ETL, or enterprise data warehouse experience.
  • Advanced expertise in T-SQL, query optimization, stored procedures, and relational database design.
  • Demonstrated experience supporting and maintaining a large portfolio of production data pipelines within a complex enterprise environment.
  • Strong troubleshooting and root cause analysis skills with the ability to rapidly resolve production incidents.
  • Proven ability to work independently with minimal supervision while taking full ownership of outcomes.
  • Excellent written and verbal communication skills with the ability to communicate effectively with business, operations, and technical stakeholders.
  • Entrepreneurial mindset with a strong sense of accountability, urgency, and continuous improvement.
  • Experience leading technical initiatives and influencing teams without relying solely on formal authority.
Preferred Qualifications
  • Experience with AWS, Redshift, ETL frameworks, scheduling platforms, and enterprise data integration technologies.
  • Financial services, risk, compliance, AML, or regulatory reporting experience.
  • Prior experience acting as a technical lead in a mission-critical, time-sensitive production environment.
  • What Makes Someone Successful in This Role A successful candidate is a self-starter who thinks like an owner, communicates clearly under pressure, leads through influence, and is equally comfortable writing SQL, solving production issues, and directing cross-functional teams during critical incidents.
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