Data Engineer

EMW Staffing Solutions LLC

Denver (CO)

Híbrido

USD 80 000 - 125 000

Tempo integral

14 dias+

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Resumo da oferta

EMW Staffing Solutions LLC is seeking an experienced Data Engineer Consultant to join our client team. The role focuses on designing, building, and optimizing data infrastructure, with strong SQL, data visualization, and dimensional modeling skills to deliver high-quality data solutions.

The position is mainly remote for candidates near the Denver area, with occasional on-site work in Denver. You will collaborate with clients, data scientists, and analysts to translate business needs into

Qualificações

  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 3+ years of experience in data engineering, data warehousing, or a related role.
  • Strong proficiency in SQL.
  • Proven experience with data visualization tools and theory.
  • In-depth knowledge of dimensional modeling concepts and techniques.
  • Familiarity with ETL tools and processes.
  • Strong problem-solving skills and attention to detail.
  • Experience with cloud-based data platforms.

Responsabilidades

  • Data Infrastructure Development (ETL, SQL): design, build, and maintain scalable data pipelines.
  • Develop and optimize complex SQL queries for data extraction, transformation, loading.
  • Diagnose data issues and provide quick resolutions.
  • Analyze data workflows and identify areas for improvement to optimize performance.
  • Utilize a proactive approach to foresee potential problems and address them before impact.
  • Dimensional Modeling and Data Modeling: design and implement dimensional models for data warehousing and BI.
  • Design and implement data modeling techniques to meet business data demands.
  • Develop and maintain data schemas ensuring data integrity.
  • Create and maintain dashboards and reports using data visualization tools; train clients on best practices.

Conhecimentos

SQL
Data visualization
Dimensional modeling
ETL
Data pipelines
Cloud data platforms
Communication

Formação académica

Bachelor's degree in computer science or IT

Descrição da oferta de emprego

Term: Full Time

Location: Around the Denver CO area--Mainly but not a 100% remote role.

$: 90-140k/year, Neg.

Vertical: Services

Level: Mid or Mid to Senior

Dashboard: Data engineers with data visualization experience or a BI analyst that shows a strong understanding of data engineering are the ideal candidate. This position is for a consulting practice specializing in big data/cloud solutions. This is a technical role, not just a reporting one.

Please note this group is unable to sponsor or take over sponsorship of an employment Visa at this time

Customer is looking for an experienced Data Engineer Consultant to join the team. The ideal candidate will possess strong SQL development skills, expertise in data visualization, and solid knowledge of dimensional modeling. As a Data Engineer Consultant, you will work closely with their clients to design, develop, and optimize their data infrastructure, ensuring the delivery of high-quality data solutions that meet business requirements.

This role is a mainly remote one for candidates who are relatively close to the Metro Denver area. Intermittent/occasional onsite work in Denver should be expected.

Please also note that the group is somewhat stack agnostic, so those with classically defined data engineering skills (ETL Modeling and Design, Data Pipelines, Relevant Builds, etc.) are encouraged to apply regardless of tech stack.

Key Responsibilities:
  • Data Infrastructure Development (ETL, SQL):
  • Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
  • Develop and optimize complex SQL queries for data extraction, transformation, and loading.
  • Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
  • Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
  • Utilize a proactive approach to foresee potential problems and address them before they impact clients' operations.
  • Dimensional Modeling and Data Modeling:
  • Design and implement dimensional models to support data warehousing and business intelligence initiatives.
  • Design and implement different data modeling techniques to meet business' data demands that align with data architecture design.
  • Develop and maintain data schemas, ensuring data integrity and consistency for clients.
  • Create and maintain dashboards and reports using data visualization tools to provide actionable insights.
  • Train clients on best practices for using data visualization tools to maximize value.
  • Client Consultation:
  • Engage with clients to understand their data needs and business objectives.
  • Conduct detailed requirements analysis and provide recommendations for data infrastructure improvements.
  • Work closely with client teams, data scientists, analysts, and other stakeholders to understand data needs and provide technical support.
  • Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
Qualifications:
  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 3+ years of experience in data engineering, data warehousing, or a similar role.
  • Strong proficiency in SQL
  • Proven experience with data visualization tools and theory.
  • In-depth knowledge of dimensional modeling concepts and techniques.
  • Familiarity with ETL tools and processes.
  • Strong problem-solving skills and attention to detail
  • Experience with cloud-based data platforms
  • Excellent communication and collaboration skills, with the ability to work effectively with clients.

The desired salary range for this position is $80,000 - $125,000 per year. This is a full time role with the practice.

The customer works with their clients to transform their enterprise through the use of modern compute technologies and proven deployment processes providing cost effective durable solutions for the competitive world.

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