Senior Analytics Engineer Jobs

About The Position

Requirements

• 4+ years of experience building or operating enterprise-scale data pipelines and orchestration systems.
• 4+ years of data or application engineering experience with Java, Python, and SQL.
• 4+ years of experience building and operating real-time or event-driven data systems.
• 4+ years of experience with distributed data and computing technologies such as Kafka, Spark, EMR, Hadoop, or equivalent.
• 4+ years of experience working with cloud data warehouse/data platforms at scale.
• 4+ years of experience with at least one major cloud platform: AWS, Azure, or GCP.
• 3+ years of experience with workflow orchestration and scheduling tools such as Airflow, Control-M, Autosys, Step Functions, or equivalent.
• 2+ years of experience implementing secure secrets and credential management in production environments.
• 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, including monitoring, alerting, SLA management, pipeline health, and data quality.
• Strong problem-solving, communication, and collaboration skills.

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 data processing solutions using technologies such as Kafka and Spark.
• Build scalable data processing solutions using distributed computing frameworks such as 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 warehouse and cloud-native data platforms to support enterprise-scale workloads.
• Design solutions with a strong focus on reliability, scalability, performance, security, and low latency.
• Implement secure approaches for secrets management, credentials, and service-to-service authentication in production environments.

Benefits

• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
• Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.