Senior Data Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $100k - $125k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dynamo Technologies, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

🏛️ Government

🔒 Cybersecurity

Consulting • Government • Cybersecurity

Dynamo Technologies, LLC is a technology and government contracting firm that delivers digital transformation and mission-focused IT services for public sector clients. The company blends human-centered design, agile and DevOps practices, No Code/Low Code development, cybersecurity, data analytics, and programmatic support to modernize government operations and support DoD and federal programs. Dynamo also invests in R&D and AI initiatives, partners with data science firms, and provides program planning, research, finance, and engineering services to deliver secure, user-centered solutions at scale.

📋 Description

• Design, develop, maintain, and troubleshoot data pipelines and data products supporting enterprise analytics and reporting • Develop and maintain ETL processes to extract, transform, cleanse, validate, and load data from multiple sources • Use Python or R for data analytics, data operations, automation, backend development, and data pipeline activities • Write, optimize, and troubleshoot complex SQL queries using PostgreSQL and Microsoft SQL Server • Develop and maintain data warehouse solutions, including data structures, transformations, and operational processes • Support data quality initiatives, root cause analysis, and solutions to improve data accuracy, consistency, and reliability • Monitor and troubleshoot data pipelines, ETL processes, databases, and data operations • Develop database stored procedures, functions, and other database objects • Support data integration across enterprise applications and data sources • Work in Linux/UNIX and Windows server environments • Apply DevOps principles and practices to data engineering and application development • Gather requirements and translate mission needs into scalable technical data solutions • Support web applications and technical solutions enabling data analytics and data-driven decision-making • Support integration and analysis of Salesforce data and other enterprise data sources • Document data processes, technical requirements, data flows, pipelines, and operational procedures • Identify opportunities to improve data engineering processes, automation, performance, and reliability • Collaborate with developers, analysts, business stakeholders, and technical teams throughout the software and data development lifecycle

🎯 Requirements

• Hands-on professional experience with Python or R for data analytics, data operations, automation, backend development, or data pipeline development • Strong proficiency writing and optimizing complex SQL queries using enterprise databases such as PostgreSQL or Microsoft SQL Server • Experience developing and supporting ETL processes and data pipelines • Experience with data warehouse development and operations • Experience working in both Linux/UNIX and Windows environments • Knowledge of DevOps principles and practices as applied to data engineering and software development • Experience troubleshooting data operations, data pipelines, data quality issues, and backend data processes • Strong analytical, problem-solving, and technical documentation skills • Ability to gather requirements and translate business and operational needs into technical data solutions • Ability to work collaboratively with technical teams, business stakeholders, and end users • Bachelor's degree or advanced degree in a technical or quantitative field is highly preferred • Minimum of six (6) years of relevant professional experience • Equivalent combination of education and relevant professional experience may be considered

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