Senior Data Engineer

Job Title : Senior Data Engineer

Location: Petersburg, Virginia, United States

Type: Full Time

Job Summary

Our client is seeking a software engineer to support the design and delivery of modern, cloud-based applications. This role works across Agile teams to build, enhance, and maintain full-stack solutions while collaborating with engineers experienced in machine learning, microservices, and distributed systems.

The ideal candidate is passionate about continuous learning, enjoys exploring emerging technologies, and contributes to a collaborative engineering culture. Working closely with digital product leaders, this role helps deliver scalable platforms that support financial empowerment for millions of users.

Key Responsibilities

• Collaborate across Agile teams to design, develop, test, deploy, and support full-stack applications
• Work alongside engineers specializing in machine learning, distributed microservices, and scalable systems
• Build solutions using modern programming languages and data technologies
• Develop and support cloud-based data platforms and analytics solutions
• Stay current with technology trends and actively participate in engineering communities
• Mentor peers and promote engineering best practices
• Conduct unit testing, participate in code reviews, and ensure high-quality, performant code
• Partner with product managers to deliver secure and reliable cloud-native solutions

Technology Environment

• Programming languages including Java, Scala, Python, and SQL
• Open-source relational and NoSQL databases
• Cloud data warehousing platforms such as Redshift and Snowflake
• Distributed and streaming data processing frameworks
• UNIX/Linux-based development environments

Required Qualifications

• Bachelor’s degree in a related field
• 3 years of professional application development experience (excluding internships)
• At least 1 year of experience working with big data technologies

Preferred Qualifications

• 5 years of experience in application development using Python, SQL, Scala, or Java
• 2 years of experience with public cloud platforms (AWS, Azure, or Google Cloud)
• 3 years of experience with distributed data and computing tools (e.g., Hadoop, Spark, Kafka, EMR, Hive)
• 2 years of experience developing real-time or streaming data applications
• 2 years of experience with relational databases such as MySQL, PostgreSQL, or SQL Server
• 2 years of experience with data warehousing platforms including Redshift or Snowflake
• 3 years of experience working in UNIX/Linux environments, including shell scripting
• 2 years of experience working in Agile engineering teams