Data Engineer – Lead Analyst
The Cigna Group
CloudETLPySparkPythonSQL
Data Engineer
General Dynamics Information Technology
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $86,700 - $117,300 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowAmazon RedshiftAWSAzureCassandraCloudEC2ElasticSearchETLHadoopJavaKafkaMS SQL ServerNoSQLPostgresPythonScalaSparkSQLSSIS
About the role
- Deliver insights to help our clients turn data into action as a Data Engineer Senior at GDIT
- Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission
- Help ensure today is safe and tomorrow is smarter
- Develop enterprise grade data platforms, services, and pipelines
- Lead and architect migration of data environments with performance and reliability
- Assess and understand the ETL jobs, workflows, BI tools, and reports
- Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
- Contribute to the growth of our Data Exploitation Practice
Requirements
- Requires a Bachelor's degree in Data Science or closely related discipline and 5 years of experience
- 2-4 years of experience working with MS SQL Server and SSIS to build ETL pipelines
- 2-4 years industry experience coding commercial software and a passion for solving complex problems
- 2-4 years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc.
- Relational SQL and NoSQL databases, including Postgres and Cassandra.
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
- Data streaming systems: Storm, Spark-Streaming, etc.
- Search tools: Solr, Lucene, Elasticsearch
- Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases
- Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores
- Experience manipulating, processing, and extracting value from large, disconnected datasets
- Experience manipulating structured and unstructured data for analysis
- Experience constructing complex queries to analyze results using databases or in a data processing development environment
- Experience with data modeling tools and process
- Experience architecting data systems (transactional and warehouses)
- Experience aggregating results and/or compiling information for reporting from multiple datasets
- Experience working in an Agile environment
- Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models
Benefits
- Flex work week to own your priorities at work and at home
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology you can learn from
- Rest and recharge with paid vacation and holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLData EngineeringSQLPythonJavaC++ScalaHadoopSparkKafka
Soft skills
problem solvingleadershipcommunicationcollaborationorganizational skillsanalytical thinkingadaptabilitycreativitycritical thinkingattention to detail
Certifications
Bachelor's degree in Data Science
