DataOps Engineer: Iceberg Data Pipelines & CI/CD

SBT Global, Inc.

Englewood Cliffs (NJ)

On-site

USD 140,000 - 220,000

Full time

14 days+

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Job summary

SBT Global, Inc. is seeking an experienced Data Platform Engineer to sustain Iceberg-based tables, manage schema changes and catalog syncing, and build robust data pipelines.

You will create Docker images, test pipelines with Docker‑Compose, and drive security scans. You will automate CI/CD and implement observability with Prometheus, Grafana, and OpenTelemetry, while supporting on-call incidents and compliance efforts.

Qualifications

  • Bachelor’s degree in Computer Science, IT, Data Engineering, or related field (Master’s a plus).
  • ~5 years of hands-on experience building and operating large-scale data platforms (lake-house, data-warehouse, or big-data ecosystems).
  • Proven production experience with Apache Iceberg (table creation, partition management, schema evolution, catalog integration).
  • Strong Docker skills: multi-stage builds, Docker-Compose testing, routine image security scanning.
  • Experience with Spark, Flink, or Presto/Trino and its connection to Iceberg tables.
  • Proficiency in Python and/or Ansible for automating infrastructure and platform tasks.
  • Experience building CI/CD pipelines that include Docker linting, vulnerability scanning, and automated deployment of data-pipeline code.
  • Familiarity with observability tooling (Prometheus, Grafana, OpenTelemetry, Loki) and ability to create useful alerts and dashboards.
  • Ability to respond to incidents, write clear root‑cause analysis reports, and contribute to post‑mortem actions.
  • Willingness to participate in an on‑call rotation as a first‑line responder.
  • Availability to work on-site in New Jersey for the initial assignment and relocate to Dallas by October 2026.

Responsibilities

  • Iceberg operations: support tables, manage schema changes, partitions, and catalog sync.
  • Docker image creation & testing: write multi‑stage Dockerfiles, run local test environments with Docker‑Compose, and conduct vulnerability scans.
  • Data pipeline development: build ETL/ELT jobs that ingest raw data and write to Iceberg tables; add simple streaming components using Kafka, Pulsar, or Kinesis when needed.
  • CI/CD automation: configure pipelines (GitHub Actions, GitLab CI, Azure DevOps, …) to lint Dockerfiles, scan images, version Iceberg metadata, and deploy pipelines without downtime.
  • Automation with Ansible/Python: script cluster provisioning, catalog configuration, vacuum/compaction, and other routine housekeeping tasks.
  • Observability: instrument services with OpenTelemetry, Prometheus, Grafana, and Loki; create dashboards showing pipeline latency, resource usage, table health, and error rates; set up basic alerts.
  • SLA monitoring: measure data freshness, job success rates, and query response times against agreed‑upon targets and report deviations.
  • Incident response: join the on‑call rotation, perform first‑line diagnosis and resolution of pipeline failures, Iceberg metadata issues, or container crashes; write concise root‑cause analyses and suggest improvements.
  • Security & compliance support: help enforce image signing, mTLS, IAM roles, and bucket policies; collaborate with the security team to meet GDPR, HIPAA, or ISO 27001 requirements.
  • Knowledge sharing: keep internal documentation up to date and run short tech demos or brown‑bag sessions on Iceberg, Docker best practices, and automation techniques.

Skills

Python
Ansible
Iceberg knowledge
Spark/Flink/Presto
CI/CD automation
On-call readiness

Education

Bachelor’s degree in Computer Science/IT/Data Engineering
Master’s degree is a plus

Tools

Docker
Docker Compose
Trivy
Snyk
GitHub Actions
GitLab CI
Azure DevOps
OpenTelemetry
Prometheus
Grafana
Loki
Kafka
Pulsar
Kinesis
Iceberg

Job description

SBT Global, Inc. is seeking an experienced Data Platform Engineer to sustain Iceberg-based tables, manage schema changes and catalog syncing, and build robust data pipelines.

You will create Docker images, test pipelines with Docker‑Compose, and drive security scans. You will automate CI/CD and implement observability with Prometheus, Grafana, and OpenTelemetry, while supporting on-call incidents and compliance efforts.

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