Data Engineer
3 days ago
Job Title : Data Engineer
Location : District of Columbia
Job Type : Full Time
Our client is seeking a Data Engineer to join their innovative technology team. This role offers the opportunity to work on cutting-edge, cloud-based solutions that empower millions of users to make informed financial decisions. The ideal candidate is passionate about scalable architecture, clean code, and emerging technologies.
Key Responsibilities
- Partner with cross-functional Agile teams to design, build, test, and deploy full-stack applications using modern frameworks and cloud technologies.
- Collaborate with a talented group of engineers experienced in machine learning, distributed microservices, and large-scale data systems.
- Develop and maintain applications using programming languages such as Python, Java, or Scala, along with both relational and NoSQL databases.
- Leverage cloud data platforms like Amazon Redshift and Snowflake to support robust, scalable data solutions.
- Stay ahead of emerging technology trends, actively experiment with new tools, and contribute to internal and external tech communities.
- Mentor peers, share best practices, and foster continuous learning within the engineering team.
- Partner with product managers to create cloud-native solutions that enhance user experience and drive meaningful impact.
- Conduct unit testing and peer code reviews to ensure high performance, scalability, and maintainability.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related discipline.
- 3+ years of hands-on experience in application development (excluding internship experience).
- 1+ year of experience working with big data technologies.
Preferred Qualifications
- 5+ years of experience in software or data engineering using Python, Scala, Java, or SQL.
- 2+ years of experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- 3+ years of experience working with distributed data systems and tools like Hadoop, Spark, Hive, EMR, Kafka, or MySQL.
- 2+ years of experience with real-time data processing and streaming applications.
- 2+ years of experience with NoSQL databases (e.g., MongoDB, Cassandra).
- 2+ years of experience with data warehousing solutions such as Snowflake or Amazon Redshift.
- 3+ years of experience in UNIX/Linux environments, including shell scripting.
- 2+ years of experience applying Agile development methodologies.
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