Data Engineer at Smartronix in Fairfax, VA
Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names:
Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face. Smartronix is seeking a curious problem solver to develop creative data solutions as a part of an end-to-end advanced cloud data analytics team. Are you interested in a role that offers the opportunity to provide client-facing support? As a Smartronix Data Engineer you will have the opportunity to work on the creation, integration, and managed services lifecycle. Join our team and you will work closely with key stakeholders and clients within multiple areas of data and cloud computing. Essential Duties and Responsibilities Create and enhance the data pipeline architecture Assemble data sets to meet functional and non-functional business requirements Work within an AWS environment and use technologies like S3, Redshift, Glue and Lake Formation, Sagemaker, and Athena Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, etc. Work with business stakeholders to assist with data-related needs and issues Create data tools for front-end analytics and data scientist team members that assist them in their responsibilities Design and deliver ETL data integration workflow components Knowledge, Skills, and Abilities Ability to obtain a US Department of Defense TS/SCI FSP security clearance Advanced working SQL knowledge and experience with cloud computing and RDBMS platforms Expertise building and optimizing data pipelines, architectures, and data sets Expertise performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Strong business and analytical skills including direct interaction with business end users for requirements analysis Hands-on experience with implementation and support of commercial data integration software (Informatica, IBM DataStage, Talend, Microsoft SSIS, etc.) Expertise with AWS cloud services:
EC2, EMR, RDS, Redshift Expertise in Python, message queuing, or stream processing Hands-on experience with implementation and support of commercial data integration software (Informatica, IBM DataStage, Talend, Microsoft SSIS, etc.) Clearance required:
TS/SCI FSP Required Experience & Certifications Bachelor's Degree in Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics disciplines, or related area 3
years of experience with ETL and data integration, data quality analysis, statistical analysis, cloud computing, and/or modeling Hold appropriate data engineering certifications #cjpost Vaccination is a requirement of the position per Executive Order 14042. If a candidate is not vaccinated, they may request an accommodation once offered the position. The accommodation must be granted prior to the employee starting in the position. Candidate will have 60 days to get vaccinated.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face. Smartronix is seeking a curious problem solver to develop creative data solutions as a part of an end-to-end advanced cloud data analytics team. Are you interested in a role that offers the opportunity to provide client-facing support? As a Smartronix Data Engineer you will have the opportunity to work on the creation, integration, and managed services lifecycle. Join our team and you will work closely with key stakeholders and clients within multiple areas of data and cloud computing. Essential Duties and Responsibilities Create and enhance the data pipeline architecture Assemble data sets to meet functional and non-functional business requirements Work within an AWS environment and use technologies like S3, Redshift, Glue and Lake Formation, Sagemaker, and Athena Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, etc. Work with business stakeholders to assist with data-related needs and issues Create data tools for front-end analytics and data scientist team members that assist them in their responsibilities Design and deliver ETL data integration workflow components Knowledge, Skills, and Abilities Ability to obtain a US Department of Defense TS/SCI FSP security clearance Advanced working SQL knowledge and experience with cloud computing and RDBMS platforms Expertise building and optimizing data pipelines, architectures, and data sets Expertise performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Strong business and analytical skills including direct interaction with business end users for requirements analysis Hands-on experience with implementation and support of commercial data integration software (Informatica, IBM DataStage, Talend, Microsoft SSIS, etc.) Expertise with AWS cloud services:
EC2, EMR, RDS, Redshift Expertise in Python, message queuing, or stream processing Hands-on experience with implementation and support of commercial data integration software (Informatica, IBM DataStage, Talend, Microsoft SSIS, etc.) Clearance required:
TS/SCI FSP Required Experience & Certifications Bachelor's Degree in Statistics, Mathematics, Computer Science, Management Information Systems, Engineering, Business Analytics disciplines, or related area 3
years of experience with ETL and data integration, data quality analysis, statistical analysis, cloud computing, and/or modeling Hold appropriate data engineering certifications #cjpost Vaccination is a requirement of the position per Executive Order 14042. If a candidate is not vaccinated, they may request an accommodation once offered the position. The accommodation must be granted prior to the employee starting in the position. Candidate will have 60 days to get vaccinated.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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