[Hiring] Data Engineer II @Ocient Inc.

Role Description

The Data Engineer II independently contributes to data engineering workstreams at Ocient, supporting customer workload onboarding, schema design, query conversion, data loading, and pre-pilot workload testing with growing technical depth and autonomy. This role works closely with Solutions Architects and Senior Data Engineers to deliver high-quality pre-pilot engineering outputs and developing customer solutions, applying growing expertise in Ocient’s SQL data platform, metadata analysis tooling, and workload performance analysis. The Data Engineer II is technically rigorous, collaborative, and developing the deep engineering skills that define Ocient’s customer-facing data engineering excellence.

Responsibilities

• Work with Solutions Architects to understand customer workloads, capture requirements through questionnaires and workshops, and obtain sample queries and data where possible.
• Convert customer queries to Ocient syntax using internal tools and perform metadata analysis to understand field types, relationships, multi-dimensional elements, and changing schemas.
• Analyze queries in bulk to understand indexing schemes and refine schema; define initial schema designs for pre-pilot workload preparation.
• Load data, create workload test suites, and deploy end-to-end sample workloads to run initial pre-pilot tests.
• Build test cases and validation assets for Delivery and Development teams, and create artifacts in GitHub and other repositories.
• Assist with system sizing, delivery timeline development, and GDPR and data rolloff procedure definition.
• Report performance results and status to management and contribute to cross-functional workload documentation.

Qualifications

• 2+ years of experience in data engineering, database engineering, or a related technical role with demonstrated SQL proficiency and data pipeline experience.
• Demonstrated experience contributing to schema design, data loading, and workload testing in a data warehousing or analytics environment.
• Strong SQL proficiency with the ability to write, convert, and optimize queries in large-scale analytical database environments.
• Working knowledge of schema design, indexing strategy, ETL/ELT processes, and data loading in relational or columnar database systems.
• Familiarity with metadata analysis, query bulk analysis, and workload performance testing.
• Strong attention to detail with the ability to independently produce accurate technical documentation and engineering artifacts.
• Good written and verbal communication skills with the ability to collaborate cross-functionally with Solutions Architects, Delivery, and Engineering teams.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• Experience with Big Data platforms, distributed database systems, or cloud data warehousing (AWS Redshift, Google BigQuery, Snowflake, or comparable).
• Familiarity with GDPR data compliance, HA/DR requirements, or data governance processes.
• Experience with GitHub or comparable version control and artifact repository tools.