The Swift Group, LLC
Overview
Join to apply for the
DevOps Data Engineer
role at
The Swift Group, LLC . Responsibilities
Responsible for the full data lifecycle – from exploratory data analysis to the upkeep of production data flows. Focuses a majority of their time supporting the underlying environment and infrastructure used by the rest of the Data Engineering and Data Science teams. Required Qualifications
Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience. 6+ years of experience in DevOps/Data Engineering Extensive familiarity with AWS services to include CloudFormation, EC2, S3, and RDS CloudFormation, Ansible, Git, Jenkins, Bash Programming Languages: Python, Java or Scala Processing Tools: Elasticsearch, Spark, NiFi, and/or Docker Datastore Types: Graph, NoSQL, and/or Relational US Citizenship and an active TS/SCI with Polygraph security clearance required Desired Qualifications
Familiarity with AWS CDK Terraform, Packer Design Concepts: REST APIs Programming Languages: JavaScript / NodeJS Processing Tools: Presto / Trino, MapReduce, Hive Additional Details
US Citizenship required for security clearance considerations. Pay Range
Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not guaranteed as final compensation. Determination of official compensation relies on factors including level, responsibilities, location, experience, education, certifications, and contract wage rates. Benefits
At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at The Swift Group, LLC by 2x We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Join to apply for the
DevOps Data Engineer
role at
The Swift Group, LLC . Responsibilities
Responsible for the full data lifecycle – from exploratory data analysis to the upkeep of production data flows. Focuses a majority of their time supporting the underlying environment and infrastructure used by the rest of the Data Engineering and Data Science teams. Required Qualifications
Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience. 6+ years of experience in DevOps/Data Engineering Extensive familiarity with AWS services to include CloudFormation, EC2, S3, and RDS CloudFormation, Ansible, Git, Jenkins, Bash Programming Languages: Python, Java or Scala Processing Tools: Elasticsearch, Spark, NiFi, and/or Docker Datastore Types: Graph, NoSQL, and/or Relational US Citizenship and an active TS/SCI with Polygraph security clearance required Desired Qualifications
Familiarity with AWS CDK Terraform, Packer Design Concepts: REST APIs Programming Languages: JavaScript / NodeJS Processing Tools: Presto / Trino, MapReduce, Hive Additional Details
US Citizenship required for security clearance considerations. Pay Range
Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not guaranteed as final compensation. Determination of official compensation relies on factors including level, responsibilities, location, experience, education, certifications, and contract wage rates. Benefits
At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at The Swift Group, LLC by 2x We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr