Data Analytics Engineer at Smartronix in Washington, DCother related Employment listings - Washington, DC at Geebo

Data Analytics Engineer at Smartronix in Washington, DC

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. Data Engineer Location:
Washington DC Top-Secret clearance required If we ask you to explain your day and you use phrases like dimensional data modeling, data movement and storage, enterprise analytics, data pipelines, shaping data for presentation, or database querying, then we should talk. We need creative problem solvers that can come up with creative solutions when working with the client. We are technology agnostic, in a sense, and are interested in people who come from different environments and backgrounds then perhaps what we have seen. Understanding and having an interest in front-end analytics and visualizations is a great skill to have as well. You can be a self-proclaimed analytics guru, advancing in your BI career, or an Application Developer who has a strong interest in data. As long as you have strong knowledge and hands-on experience with SQL you could be a fit for this role. You will be part of one of our fastest growing, heavily impactful teams, and working with a great client who loves data as much as we do. Knowledge, Skills & Abilities Strong SQL Experience with ETL tools Experience with Reporting/Analytics tools (MicroStrategy, Tableau, PowerBI, Cognos, Busines Objects, etc.) is a plus Data manipulation & analysis Unstructured data management Experience with Cloud Technologies (S3, Redshift, lambda, AWS, etc.) is a plus Qualifications Required 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 and/or modeling Active Top-Secret US Government clearance
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.

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