What are the responsibilities and job description for the DataOps/Data Engineer - Englewood Cliffs, NJ - ONLY LOCAL CANDIDATE TO NEW JERSEY position at Geopaq Logic?
Job Title: DataOps/Data Engineer
Location: Englewood Cliffs, NJ/Plano, TX
Duration: 1 Year of Contract
Minimum Requirements
Bachelor’s degree in Computer Science, IT, Data Engineering, or a 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 at least one major data processing engine (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.
Preferred Qualifications
Experience with cloud native data services on AWS, Azure, or Google Cloud Platform (EMR, Dataproc, Synapse, etc.).
Familiarity with other lake house formats such as Delta Lake or Apache Hudi and ability to evaluate trade offs against Iceberg.
Knowledge of streaming platforms (Kafka, Pulsar, Kinesis) and real time processing patterns.
Relevant certifications (Databricks Lakehouse Associate, Google Professional Data Engineer, AWS Certified Data Analytics – Specialty, etc.).
Background supporting data platforms in regulated industries (pharma, finance, healthcare) and understanding of associated compliance frameworks