Jahnel GroupRemote
Senior Data Engineer
United States
Full Time
4 hours ago
$120,000 - $140,000 USD
H1B Sponsor Likely
Key skills
PythonSQLMachine LearningETLELTData EngineeringData WarehousingAnalyticsBISnowflakeBigQueryRedshiftKafkaAirflowdbtAWSGCPKubernetesDockerLambdaS3GluePub/SubAgileLeadershipCommunication
About this role
Jahnel Group’s mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. They are seeking a Senior Data Engineer to design, build, and maintain scalable data solutions that support analytics, reporting, and data-driven decision-making.
Responsibilities:
- Design, build, and maintain scalable, cloud-based data pipelines and platforms
- Develop and optimize batch and event-driven data workflows primarily in AWS
- Build and manage data warehousing solutions using Snowflake
- Ensure data quality, reliability, security, and performance across pipelines and platforms
- Partner with analytics, product, and client stakeholders to translate business needs into data solutions
- Design and implement data models that support analytics, reporting, and downstream applications
- Collaborate with DevOps and platform teams to deploy production-ready data systems
- Monitor, troubleshoot, and improve data pipeline performance and cost efficiency
Requirements:
- 5+ years of experience as a Data Engineer or in a similar role
- Strong proficiency in SQL and data modeling concepts
- Hands-on experience with Snowflake or similar cloud data warehouses
- Experience building and operating data pipelines in AWS (e.g., S3, Lambda, Glue, Redshift, MSK, etc.)
- Proficiency with Python or a similar language for data engineering tasks
- Experience with ETL/ELT frameworks and orchestration tools (e.g., Airflow, dbt)
- Solid understanding of data reliability, security, and governance best practices
- Experience working in Agile development environments
- Strong communication skills and comfort working in client-facing setting
- Experience with GCP data services (BigQuery, Dataflow, Pub/Sub)
- Exposure to real-time or streaming data systems (Kafka, MSK, Pub/Sub)
- Prior technical leadership or mentorship experience
- Familiarity with containerization or orchestration tools (Docker, Kubernetes)
- Experience supporting analytics, BI, or machine learning use cases
- Cloud or data engineering certifications