Senior Data Engineer (AI)

Location: United States

Salary: $108,600–$183,018 base salary annually for US-based employees. Additional compensation may include a corporate bonus or role-specific commission and equity participation.

Company

hirify.global provides cloud identity security solutions built on AI and machine learning for enterprise customers.

What you will do

• Design, build, and operate scalable ETL/ELT pipelines and data services on a managed lakehouse.
• Own pipelines, datasets, and data services from requirements through production support.
• Build warehouse and lakehouse data models supporting product features, analytics, and machine learning.
• Improve performance, reliability, freshness, and cost across Snowflake, Iceberg, Spark, Flink, and storage and serving layers.
• Implement data quality, governance, lineage, observability, and responsive graph-serving data models.
• Partner with product, infrastructure, security, analytics, data science, and software engineering teams; participate in reviews, mentoring, on-call, and incident resolution.

Requirements

• 5+ years of professional software engineering experience, including substantial data engineering experience.
• 2+ years owning production pipelines, datasets, or data services.
• Strong SQL, data modeling, and query optimization skills, preferably with Snowflake or a comparable cloud warehouse.
• Hands-on experience with dbt, Airflow or close equivalents, distributed batch and streaming processing, and at least one of Kafka, Flink, Spark, or Cassandra.
• Proficiency in Python, Java, or Scala; experience with AWS, Azure, or GCP and knowledge of data governance, security, and compliance.
• Practical professional use of AI-assisted development tools, strong communication skills, and a BS in Computer Science, Engineering, or equivalent experience.

Nice to have

• Experience building data platforms at scale with Apache Iceberg, graph-oriented systems, or large relationship datasets.
• Experience with data-system SLOs, Grafana, Prometheus, Datadog, Kubernetes, infrastructure as code, and continuous delivery.
• Spark or Flink operational tuning experience and familiarity with OpenSearch, machine learning workflows, MLOps, IAM, IGA, compliance, or security domains.

Culture & Benefits

• Strong individual contributor role with end-to-end ownership and mentoring responsibilities.
• Medical, dental, vision, disability, life, and supplemental insurance coverage.
• 401(k) plan with company matching, HSA employer contribution, and flexible spending accounts.
• Flexible vacation policy, paid holidays, sick leave, paid parental leave, and employee assistance resources.
• Potential bonus, commission, and equity participation depending on role and employment location.