Title: Senior Data Engineer
Location: Orlando / Remote
Experience Required: 6 + Years
About the Role - We are looking for an experienced Data Engineer with over 6 years of experience to design, build, and optimize event-driven architectures for high-throughput, low-latency data flows across distributed systems to deliver business insights.
The ideal candidate has strong expertise in SQL, Python, Snowflake, and hands-on experience with Streaming ETL - any 1 of Flink, Kafka, Spark Streaming
Key Responsibilities:
Design, develop, and maintain scalable and reliable data pipelines using modern cloud data platforms.
Architect and implement real-time data streaming pipelines using Apache Kafka / Apache Flink / Spark Streaming
Design event-driven architectures for high-throughput, low-latency data flows across distributed systems
Build stateful and stateless Flink / Kafka jobs for complex event processing, windowed aggregations, and stream joins
Contribute to data architecture and modeling discussions to enhance data platform scalability and performance.
Contribute to CI/CD pipeline setup, containerized deployments, and infrastructure-as-code practices
Required Skills:
Mandatory skill set for consideration - Python, SQL, Streaming ETL
6+ years of hands-on experience in data engineering, backend engineering, or distributed systems
Deep understanding of ETL/ELT processes and data warehousing concepts.
Snowflake: Proficiency in Snowflake data warehouse including architecture, data warehousing, security, and performance optimization will be an added plus
Proven expertise in Streaming ETL stack - Any one of - Flink / Kafka / Spark streaming across 2 or 3 projects :
Apache Kafka: production experience with topic design, consumer groups, offset management, Kafka Streams or Kafka Connect
Apache Flink: experience building streaming jobs, managing checkpoints, windowed computations, and state backends
Alternatives considered: Apache Spark Structured Streaming, AWS Kinesis, Google Dataflow / Apache Beam
Good hands-on experience with data pipeline orchestration tools (e.g., Airflow, Prefect, Dagster).
Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience in NoSQL DB - MongoDB, Cassandra, DynamoDB will be an added advantage
Soft Skills:
Strong analytical and problem-solving abilities
Excellent communication skills with experience working in consulting or client-facing roles
Strong attention to detail and commitment to data quality
Education & Certifications:
Bachelors / Masters degree in Computer Science, Engineering, Mathematics, or related technical field
AWS DE / Solution architect certifications is an added advantage
Thanks,
Raleigh David.
Never miss an opportunity! Create an alert based on the job you applied for.
