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Big Data Software Engineer - DataOps Software Leader

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: Andiamo
Full Time, Seasonal/Temporary position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Machine Learning/ ML Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Big Data Software Engineer - Intelligent DataOps Software Leader

Big Data Software Engineer - Intelligent Data Ops Software Leader

Big Data Software Engineer — Batch & OLAP

Overview

Build robust batch pipelines and analytical stores for large-scale reporting, experimentation, and ML feature generation.

Responsibilities
  • Develop cost-efficient batch processing (Spark/Dataproc/EMR) and orchestration (Airflow/Dagster).
  • Design lakehouse tables (Iceberg/Delta/Hudi) with compaction, partitioning, and Z-ordering.
  • Implement semantic/metrics layers and OLAP acceleration (Big Query/Snowflake/Click House).
  • Enforce governance: lineage, access controls, PII handling, and retention policies.
Requirements
  • 4+ years in big data; expert SQL and performance tuning.
  • Strong understanding of storage formats, file layout, and query engines.
About Andiamo

Andiamo is a globally recognized staffing and consulting firm specializing in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.

For over 20 years, we have maintained the status of tier-one vendor for firms such as Amazon, Bloomberg, Palantir, Master Card, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.

Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at

Details
  • Seniority level:
    Mid-Senior level
  • Employment type:

    Full-time
  • Job function:
    Engineering and Information Technology
  • Industries:
    Staffing and Recruiting

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