Job Description

Salary: $123,000 - 163,000 per year Requirements:

• We require a bachelors degree in Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or another quantitative discipline.
• We require AWS certification such as Data Engineer Professional, Solutions Architect Professional, or an equivalent credential.
• We expect 8+ years of data engineering experience with strong expertise in enterprise ETL/ELT architecture, pipeline design, and large-scale data platform operations.
• We need expert-level SQL skills in IBM DB2 and SQL Server, including schema design, query tuning, and stored procedure administration.
• We need deep IBM DataStage expertise, including architecture, parallel job development, performance optimization, and enterprise deployments.
• We need advanced knowledge of IBM Workload Scheduler, including job stream design, dependency handling, SLA setup, and production support.
• We require advanced Oracle GoldenGate experience, including replication architecture, CDC design, and operational support.
• We require proven AWS data engineering experience in production, including S3, Glue, RDS, Redshift, Lambda, and IAM-controlled data access.
• We expect demonstrated ability to create and execute multi-year technology roadmaps and lead platform modernization initiatives.
• We prefer experience leading managed services or outsourced delivery models with accountability for SLA, CSAT, and throughput.
• We value healthcare data engineering experience across claims, clinical data, EMR, pharmacy, population health, or regulatory reporting.
• We value experience adopting modern data stack tools in enterprise environments such as Apache Airflow, dbt, Spark, Delta Lake, or similar.
• We require knowledge of HIPAA, HITRUST, CMS, and healthcare data compliance requirements.
• We prefer experience leading on-premises to cloud migrations for large enterprise data platforms.
• We value familiarity with Tableau, BusinessObjects, or SAS as downstream analytics consumers.
• We expect a background in agile delivery, DevOps practices, and CI/CD pipelines for data engineering.

• We develop, maintain, and optimize SQL-based ETL processes, stored procedures, and data transformations across DB2, SQL Server, DataStage, Collibra, and AWS.
• We define enterprise data engineering architecture and technology standards across DB2, SQL Server, IBM DataStage, IBM Workload Scheduler, Oracle GoldenGate, Collibra, and AWS.
• We build and maintain data integration workflows from source systems to analytics platforms, including validation and reconciliation controls.
• We create and support data pipelines using IBM DataStage and UNIX scripting for enterprise integration workflows.
• We oversee platform health, including capacity planning, performance benchmarking, upgrade coordination, and disaster recovery readiness in line with BCP/DR standards.
• We lead workload rationalization by identifying pipelines, stored procedures, and jobs for consolidation, retirement, or redesign.
• We assess and promote modern data engineering capabilities such as Apache Airflow, dbt, AWS Glue, and Spark in support of Project Catalyst objectives.
• We monitor pipeline health proactively, identify anomalies, and resolve data quality and availability issues within agreed SLAs.
• We support Dev, QA, and Prod environment management, including release coordination and production readiness checks.
• We assist with AWS stabilization efforts for analytics data layers following migration from on-premises infrastructure.
• We track and manage all work in ServiceNow, ensuring accurate categorization, status updates, and SLA adherence.
• We collaborate with Tableau, SAS, and BusinessObjects developers to ensure reliable data availability for reporting.

• Airflow
• AWS
• AWS Glue
• Lambda
• Redshift
• Architect
• CI/CD
• Cloud
• CMS
• DevOps
• ETL
• IAM
• IBM
• IBM Db2
• Support
• Oracle
• SAS
• SQL
• ServiceNow
• Spark
• Tableau
• Unix
• dbt
• AI
• HL7
• LESS

More:

We are Kforce, supporting a client in New York City that is seeking a Remote Data Engineer. This is a full-time role focused on enterprise data engineering, cloud and legacy platform integration, and modernization of analytics data infrastructure. We offer comprehensive benefits to eligible employees, including medical, dental, and vision insurance, HSA, FSA, 401(k), and life, disability, and ADD coverage. Salaried employees receive paid time off, and the role is not eligible for bonuses, incentives, or commissions. We are an equal opportunity employer committed to fair consideration for all qualified applicants.

last updated 28 week of 2026

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