Senior Big Data Engineer

Circana

Senior Big Data Engineer designing, building, and delivering ETL solutions for big data projects. Collaborating with teams to deliver scalable data solutions using modern big data frameworks.

Posted 6/30/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $160,500 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable ETL solutions using Big Data technologies, including Spark, Python, and Hadoop. Proficient in data warehousing, data modeling, and integration of data from multiple sources.

Highest-signal resume keywords

ETL Spark Application DevelopmentHadoop Ecosystem ManagementBig Data Querying Tools (Hive)Cloud Platforms (Azure)Data Warehousing & Data Modeling Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SparkPythonScalaSQLHiveData BricksCore JavaLinuxScripting LanguagesRelational Databases

Tools & Technologies

HadoopMapReduceHDFSData Warehousing ToolsBig Data Ecosystems

Industry Keywords

Lambda ArchitectureDistributed Computing PrinciplesETL WorkflowsTechnical Design DocumentsCross-Functional Team Collaboration

Tech Stack

Tools & technologies

AzureCloudETLHadoopHDFSJavaLinuxMapReduceOraclePostgresPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Senior Big Data Engineer responsible for designing, building, and delivering scalable big data and ETL solutions.
Support projects at various and unanticipated client worksites throughout the U.S.
Work closely with cross-functional teams to develop, test, and deploy data solutions.
Design and implement highly scalable ETL applications on Hadoop and Big Data ecosystems.
Develop new scripts, tools, and methodologies for ETL workflows.
Deliver big data projects using Spark, Python, Scala, SQL, and Hive.
Prepare technical design documents for solutions and write well-documented code.

Requirements

What you’ll need

Bachelor’s degree in Computer Science or Information Systems or Computer Engineering or any Engineering or related field plus 5 years of progressive experience as a Software Engineer/Developer or in Software Development required.
experience writing ETL Spark applications in PySpark or Scala
spark architecture, data frames, tuning spark
relational databases (Oracle, PostgreSQL)
Python, SQL HQL, Hive
Data Bricks
managing software systems using Hadoop, MapReduce, HDFS and all included services
experience with distributed computing principles
Big Data querying tools (Hive)
data-warehousing & data-modeling techniques
Core Java, Linux, SQL, scripting languages
Cloud platforms (Azure)
integration of data from multiple data sources
Lambda Architecture.

Benefits

Comp & perks

paid time off
medical/dental/vision insurance
401(k)