Senior Data Engineer
Tiger Analytics Inc.3 months ago
Dallas, TX, USASenior
Responsibilities
- Design and develop high-volume batch and real-time data pipelines for enterprise applications and analytics platforms.
- Build end-to-end data solutions covering ingestion, transformation, orchestration, streaming, and downstream delivery.
- Develop event-driven and real-time processing solutions using Kafka and Spark.
- Build scalable distributed data processing solutions using Spark, EMR, Hadoop, or equivalent technologies.
- Develop applications and data solutions using Java, Python, and SQL.
- Implement and manage workflow orchestration and scheduling for complex data pipelines.
- Work with cloud data warehouses and cloud-native data platforms to support enterprise-scale workloads.
- Design for reliability, scalability, performance, security, and low latency.
- Implement secure secrets management, credential management, and service-to-service authentication in production environments.
- Support data observability through monitoring, alerting, SLA management, pipeline health, and data quality practices.
Requirements
- At least 4 years of experience building or operating enterprise-scale data pipelines and orchestration systems.
- At least 4 years of data or application engineering experience with Java, Python, and SQL.
- At least 4 years of experience building and operating real-time or event-driven data systems.
- At least 4 years of experience with distributed data and computing technologies such as Kafka, Spark, EMR, or Hadoop.
- At least 4 years of experience working with cloud data warehouse or data platforms at scale.
- At least 4 years of experience with at least one major cloud platform: AWS, Azure, or GCP.
- At least 3 years of experience with workflow orchestration and scheduling tools such as Airflow, Control-M, Autosys, or Step Functions.
- At least 2 years of experience implementing secure secrets and credential management in production environments.
- At least 2 years of experience working in Agile engineering teams.
- Strong understanding of distributed systems, data processing, and enterprise data architecture principles.
- Familiarity with data observability, monitoring, alerting, SLA management, pipeline health, and data quality.
- Strong problem-solving, communication, and collaboration skills.
Benefits
- Hybrid workplace arrangement.
- Full-time position based in Dallas, United States.
- Significant career development opportunity in a fast-growing and challenging entrepreneurial environment.
- High degree of individual responsibility.
Tech Stack
Categories
Data Engineering
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.