Data Engineer 4 (Manager, IC)-Risk Tech

Build and run cloud-first, AI-enabled risk data solutions in a Risk Tech environment supporting GRC and partner teams.

Responsibilities

• Work across Agile teams to design, develop, test, implement, and support full-stack technical solutions
• Guide a team of developers, data analysts, and data scientists with experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Develop and optimize data solutions using Python and Spark, plus open-source relational and NoSQL databases
• Build and support cloud data warehousing solutions using Databricks and Snowflake
• Collaborate with product managers and software engineers to deliver robust cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications with limited supervision
• Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability
• Design and build data pipelines and platforms focused on scalability, resilience, and operational efficiency
• Implement data security standards, including encryption at rest/transit and fine-grained access control, aligned to data privacy regulations
• Communicate technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment
• Stay current on data trends, experiment with new technologies, participate in communities, and mentor members of the data community

Requirements

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

Technologies

• Python, Spark, SQL, NoSQL, open-source relational databases
• Databricks, Snowflake
• EMR, Glue
• Lakehouse architecture, distributed microservices
• Monte Carlo, Splunk, Airflow, Dagster
• MongoDB, Cassandra, DynamoDB, Redshift
• AWS, Microsoft Azure, Google Cloud

Preferred Qualifications

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

Location

• McLean, VA (onsite)

Salary

• McLean, VA: $197,300 - $225,100 per year (Data Engineer 4)
• Richmond, VA: $179,400 - $204,700 per year (Data Engineer 4)

Benefits

• Performance-based incentive compensation eligibility (cash bonus(es) and/or long-term incentives), which may be discretionary or non-discretionary based on the plan
• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being

At this time, Information Technology Senior Management Forum will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, O-1, and other work authorization forms requiring employer immigration support).