Data Engineer

Our financial regulatory client’s Knowledge Graph team is looking for an experienced Graph Data Developer to join their team developing the next generation of graph-driven data solutions. Their products connect the people, places, and things enabling pattern detection, self-exploration, and machine learning applications. The right candidate thrives in a team-based environment focused on value and outcomes.

• 3-5 years of experience with Scala, Python, or Java development (OOP and scripting)
• 3 or more years of experience performing data analysis tasks in big data, graph, business intelligence, or similar environments
• 2 or more years of experience in AWS
• Demonstrated strong skills in SQL
• Experience with large-scale data processing engines (Spark, Presto, or equivalent)
• Naturally inquisitive and enjoys exploring data and business outcomes
• Knowledge of AI assisted coding, testing and debugging

• 1 or more years of experience in Neo4j (big plus)
• Financial industry experience
• Experience in machine learning environments

• Data analytics and processing in Spark
• Data profiling new data sources
• Design and support of graph architecture
• Identification of patterns in data
• Engage with upstream and downstream engineering partners in value pipeline improvements
• Agile ceremonies and team engagement

Hybrid out of Tyson or Rockville office.