Nexiva

Nexiva

·4 days ago

Big data engineer - local tx

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Location

remote, TX, United States

Commitment

Full Time

Level

Middle (2-4 years)

Required skills

ComputeBig Data ToolsETL / Data TransformationAI/ML Tools/Deep LearningDatastoresInfrastructureData Science PlatformsAI Ops & InfraFrameworksSQLOSSQuery/Data FlowApp Definition and DevelopmentComputer VisionStreaming / In-MemoryData Science ToolsGame Development ToolsML ToolsData Generation & LabellingStreaming & MessagingAnalyticsStat Tools & LanguagesData LakesETLProgramming Languages

Job Description

Data Scientist 2 – Big Data Engineer

Location: Telework; equipment pickup and occasional meetings in Austin, TX

Contract: 10/28/2026–08/31/2027

Submission Deadline: 09/27/2026 at 5:00 PM CT

Position Summary

Seeking a Big Data Engineer to develop, maintain, and optimize scalable data solutions using Databricks, Apache Spark, Azure Data Factory, Delta Lake, and Azure Data Lake Storage. The consultant will build ETL/ELT pipelines, optimize Spark workloads, automate deployments, and maintain data quality, governance, and security.

Required Experience

  • 4+ years with ETL/ELT, Python, R, SQL, Azure, CI/CD, DevOps, data modeling, data lakes, and data warehouses.
  • 3+ years with Databricks, Apache Spark, Spark SQL, Delta Lake, Azure Data Factory, and Unity Catalog.
  • Strong understanding of Spark architecture, RDDs, DataFrames, clusters, notebooks, and jobs.
  • Experience implementing data validation, metadata management, lineage, cataloging, encryption, access controls, and auditing.
  • Strong troubleshooting, Agile delivery, and cross-functional collaboration skills.

Preferred

  • MLflow, Scikit-learn, or TensorFlow experience.
  • Databricks Certified Associate Developer for Apache Spark.
  • Microsoft Azure Data Engineer Associate certification.

Important Requirements

Selected candidates must pick up equipment in Austin on the first day and may be required to attend onsite meetings with minimal notice.

Ready to join the team?

Apply now

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