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Overnight Big Data Software Engineer Jobs in Colorado

Long Finch Technologies

$107K - $129K/yr

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal ...

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Overnight Big Data Software Engineer information

What is the difference between Overnight Big Data Software Engineer vs Data Engineer?

AspectOvernight Big Data Software EngineerData Engineer
Primary FocusDeveloping and maintaining big data processing systems during overnight shiftsDesigning, building, and managing data pipelines and infrastructure
Work EnvironmentTypically in data centers or office settings with night shiftsOffice or cloud environments, often with flexible hours
Required SkillsBig data tools (Hadoop, Spark), programming, scripting, overnight shift readinessData modeling, ETL processes, database management, cloud platforms

While both roles involve working with big data technologies, the Overnight Big Data Software Engineer focuses on developing systems during night shifts, often emphasizing real-time processing and system stability. Data Engineers build and maintain data pipelines and infrastructure, usually during regular hours. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Big Data Software Engineer jobs in Colorado?

The most popular types of Big Data Software Engineer jobs in Colorado are:

Overnight Big Data Software Engineer jobs near you

AWS Data Engineer | Big Data & Cloud Data Engineer

Long Finch Technologies

Welby, CO • On-site

$117K - $141K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal candidate will have strong experience building data pipelines, managing data platforms, and delivering enterprise-level analytics solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and architectures on AWS to support analytics, reporting, and operational workflows.
  • Develop ETL/ELT solutions using AWS services.
  • Build and manage cloud-based data lakes and data warehouse solutions using: Amazon S3, Amazon Athena, Amazon Redshift and Amazon RDS.
  • Design and implement scalable data architectures while ensuring data quality, security, and integrity.
  • Develop data processing workflows to support large-scale data ingestion and transformation.
  • Collaborate with data scientists, analysts, and business teams to curate and optimize production-ready datasets.
  • Monitor, troubleshoot, and improve data pipeline performance and reliability.
  • Work with DevOps tools and practices including Jenkins and Maven for deployment automation.
Required Experience & Skills
  • 7+ years of experience in Big Data Engineering, Data Engineering, or related roles.
  • Strong hands-on experience with AWS cloud services and Big Data technologies.
  • Experience designing, developing, and maintaining scalable data pipelines and cloud-based data architectures.
  • Proficiency in developing ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Kinesis, and Step Functions.
  • Experience building and managing data lakes and data warehouses using AWS services including S3, Athena, Redshift, and RDS.
  • Strong knowledge of data modeling, data integration, and ensuring data quality and integrity.
  • Experience working with Hadoop and other Big Data technologies.
  • Strong SQL skills with experience in databases such as Oracle 10g/11g/12c and SQL Server.
  • Experience with Unix/Linux environments and scripting.
  • Familiarity with DevOps tools such as Jenkins and Maven.
  • Experience with monitoring and logging tools such as Splunk is preferred.
  • Ability to collaborate with data scientists, analysts, and cross-functional teams to deliver production-ready data solutions.

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