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Senior Amazon Data Engineer Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Works closely with senior economists, analytics leads, and technical teams to deliver high-quality ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

As a Senior Data Engineer (DE) at Planet, you will own, architect and build production, enterprise-scale data ecosystems using modern cloud technologies, to power mission-critical, customer-facing ...

DR Kharon is seeking a full-time Senior Data Engineer based in Denver, Colorado. This role requires in-office attendance 3 days a week. RESPONSIBILITIES: * Help build large-scale distributed ...

Senior Data Engineer

Almont, CO · On-site

$75 - $85/hr

Remote Our client is seeking a Senior Data Engineer with hands-on VaultSpeed experience to support and improve the enterprise data integration platform. The role focuses on developing, maintaining ...

Senior Data Engineer - Only W2

Denver, CO · On-site

$109K - $148K/yr

Senior Data Engineer Location: Denver / Nashville, USA Exp: 7+ Years Looking only W2 consultants. We are looking for a Senior Data Engineer with strong expertise in Google Cloud Platform (Google ...

(USA) Senior, Data Engineer

Denver, CO · On-site

$109K - $148K/yr

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines and architectures that support critical business insights and decision-making. This role requires expertise ...

(USA) Senior, Data Engineer

Denver, CO · On-site

$99K - $198K/yr

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines and architectures that support critical business insights and decision-making. This role requires expertise ...

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data Engineer III to help design, build, and scale enterprise data products on Google Cloud Platform (GCP). This role is ...

Data Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data Engineer III to help design, build, and scale enterprise data products on Google Cloud Platform (GCP). This role is ...

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data Engineer III to help design, build, and scale enterprise data products on Google Cloud Platform (GCP). This role is ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

As a Senior Data Engineer, you'll lead the execution of core services and data pipelines, delivering reliable, high-quality solutions that keep the platform fast and accurate as our product surface ...

Senior Staff, Data Engineer

Sterling, CO · On-site

$96K - $131K/yr

Senior Staff, Data Engineer Location: Sterling, VA Team: Customer 360 Platform Focus: Node.js, APIs, data modeling, databases, distributed systems Asurion is hiring a Senior Staff, Software Engineer ...

As a Senior Data Engineer on the Platform Team, you will be a part of driving the design, development, and implementation of our data platforms. Your responsibilities include partnering with the ...

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

This role is a senior individual contributor and technical leader who reports to a Senior Manager or Manager within Data Solutions and drives end-to-end delivery of complex data engineering solutions ...

Sr. Data Engineer-ETL

Denver, CO · On-site

$117K - $141K/yr

Job Title: Sr. Data Engineer-ETL Location: Denver, CO Duration: Long-term Interview Process : In-person interview Main Skill: * Over 10+ years of experience in the Software Development Industry. * We ...

Showing results 41-60

Senior Amazon Data Engineer information

What are the key skills and qualifications needed to thrive as a senior Amazon data engineer, and why are they important?

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.
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Senior Snowflake Data Engineer

2T Consulting

Federal Heights, CO • On-site

$107K - $145K/yr

Full-time

Posted 4 days ago


Job description

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize enterprise-scale data engineering solutions. The ideal candidate will have strong expertise in Snowflake, dbt, Python, ETL/ELT, and data warehousing, with experience building scalable data pipelines and modern cloud-based data platforms.

Primary Responsibilities
  • Design, develop, and maintain scalable data engineering solutions using Snowflake, dbt, and Python.
  • Build and optimize high-performance ETL/ELT pipelines and enterprise data warehouse solutions.
  • Design and implement scalable data models to support analytics and business intelligence.
  • Optimize data processing, storage, and query performance within Snowflake.
  • Leverage Cortex AI/GenAI capabilities for code generation, data validation, and pipeline optimization.
  • Collaborate with architects, business stakeholders, and cross-functional teams to deliver enterprise data solutions.
  • Lead technical design, implementation, and delivery of data engineering projects.
  • Mentor development teams and promote best practices in data engineering, CI/CD, and data governance.
  • Ensure high-quality, secure, and production-ready data solutions.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering.
  • Strong hands-on experience with Snowflake, dbt, and Python.
  • Expertise in ETL/ELT pipeline development and enterprise data warehousing.
  • Strong knowledge of data modeling, data transformation, and performance optimization.
  • Experience with CI/CD pipelines, version control, and data governance best practices.
  • Exposure to Snowflake Cortex AI or Generative AI capabilities is highly preferred.
  • Excellent analytical, problem-solving, stakeholder management, and communication skills.
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of orchestration tools such as Apache Airflow.
  • Experience with DevOps, automation, and Infrastructure as Code (IaC).
  • Snowflake certifications are a plus.
  • Experience working in Agile/Scrum environments.