Data Engineer 4 (Manager, IC)-Risk Tech

Build and support cloud-first, AI-enabled data solutions for risk management in a Risk Tech environment.

Responsibilities

• Partner with Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
• Guide and influence developers, data analysts, and data scientists with experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Develop using Python and Spark and work with open-source relational and NoSQL databases plus cloud data warehousing platforms such as Databricks and Snowflake
• Experiment with emerging data technologies, participate in internal and external technology communities, and mentor members of the data engineering community
• Collaborate with product managers and software engineers to deliver robust cloud-first data solutions used to help millions of Americans achieve financial empowerment
• Independently design, build, and deliver cloud data solutions and applications with limited to no support from supervisors or managers
• Define and apply common data engineering design patterns to improve code quality, maintainability, and reusability across platforms and pipelines
• Design and build scalable, resilient data pipelines and platforms with operational efficiency and strong performance under increasing data volume and business demand
• Implement data security standards, including encryption at rest/transit and fine-grained access control, aligned to data privacy regulations
• Act as a data engineering ambassador by communicating technical concepts and data outcomes clearly to internal and external stakeholders

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 count)
• 2+ years of experience with distributed data
• 2+ years of experience with SQL
• 2+ years of experience with one programming language: Python, Java, or Scala
• 2+ years of experience in data pipeline design and development
• 1+ year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies

• Python, Spark
• Databricks, Snowflake
• SQL, NoSQL
• Open-source relational databases
• 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 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, or 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 (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 4+ years working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 4+ years experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 2+ years working in an Agile development environment
• 2+ years developing user-centric reusable data products

Location

• McLean, VA (onsite)

Compensation

• USD 197,300 - 225,100 per year (McLean, VA)
• USD 179,400 - 204,700 per year (Richmond, VA)

Benefits

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

• At this time, sponsorship for new applicants for employment authorization is not available, and no immigration-related support is offered 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 requiring employer immigration support)