Data Engineer 4 (Manager, IC)

Information Technology Senior Management Forum is seeking a Data Engineer 4 (Manager, IC) to design, develop, implement, and support cloud-first data solutions. The role focuses on building scalable, resilient data pipelines and platforms, while mentoring technical teams and ensuring strong security practices.

Location and Work Model

New York, NY (onsite)

Salary

USD 215,200 - 245,600 per year for Data Engineer 4

Employment Details

• Type: Full-time
• Posted date: 9/24/2026

Key Responsibilities

• Partner with Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
• Provide technical influence to a team of developers, data analysts, and data scientists with experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use programming languages such as Python and Spark, alongside open-source relational and NoSQL databases, and cloud data warehousing platforms including Databricks and Snowflake
• Stay current on data engineering trends through experimentation, learning, participation in technology communities, and mentoring members of the data community
• Work with product managers and software engineers to deliver cloud-first data solutions that support experiences serving millions of Americans
• Independently design, build, and deliver cloud data solutions and applications with little or no support from supervisors or managers
• Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across platforms and pipelines
• Act as an ambassador for the data engineering team by communicating technical concepts and data outcomes clearly to internal and external stakeholders
• Design and build pipelines and platforms with scalability, resilience, and operational efficiency in mind to maintain performance as demand and data volume increase
• Implement data security standards, including encryption at rest and encryption in transit, and fine-grained access control to support data privacy compliance

Required Qualifications

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in application development (internship experience does not apply)
• At least 2 years of experience in distributed data
• At least 2 years of experience with SQL
• At least 2 years of experience with one programming language: Python, Java, or Scala
• At least 2 years of experience in data pipeline design and development
• At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies and Tools

• Python, Spark
• Databricks, Snowflake
• SQL, NoSQL
• Machine learning
• Distributed microservices
• Lakehouse architecture
• Encryption at rest, encryption in transit, fine-grained access control
• Agile
• EMR, Glue, Airflow, Dagster
• Monte Carlo, Splunk
• MongoDB, Cassandra, DynamoDB
• Redshift
• Scala, Java

Preferred Qualifications

• 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
• 4+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
• 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
• 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
• 2+ years of experience in data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 4+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 2+ years of experience working in an Agile development environment
• 2+ years of experience developing user-centric reusable data products

Benefits

• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Comprehensive, competitive, and inclusive set of health, financial and other benefits