1

Senior Data Engineering Jobs in Colorado (NOW HIRING)

Senior Data Engineer

Denver, CO · On-site

$40 - $60/hr

Location: Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience ... Generate reports and data visualizations to support FinOps decision-making. · Data Engineering ...

Sr Data Developer

Denver, CO · On-site

$70 - $78/hr

Sr Data Developer - Contract - Greenwood Village, CO - $70.00 - $78.00/hr. The final salary or ... This role requires a comprehensive understanding of data architecture, data engineering, and data ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that ... Orchestration - Airflow Requirements: * 4-8 years of professional data engineering experience

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Sr Developer

Denver, CO · On-site

$100/hr

The Senior Data Engineer will work in a hybrid capacity for a company in East Denver. The Senior Data Engineer will collaborate with a small team to discover company requirements through business and ...

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Location: Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience ... Generate reports and data visualizations to support FinOps decision-making. • Data Engineering ...

Onsite in Denver, CO W2 only Senior Data Engineer Requirements: 8+ years experience with BI tools ... Data Engineering & Automation Work with AWS services to extract, transform, and load (ETL) data.

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Ibotta is looking for a software-focused Senior Data Engineer to join our team and contribute to ... Data Engineering: Expertise in Python, SQL, and Databricks, and experience with medallion ...

Senior Data Engineer

Denver, CO

$109K - $148K/yr

Ibotta is looking for a software-focused Sr. Data Engineer to join our team and contribute to our ... Data Engineering: Expertise in Python, SQL, and Databricks, and experience with medallion ...

Senior Data Governance Specialist Location: Rancho Cucamonga, CA (Hybrid) Position Summary: We are ... Strong experience in data management, governance, or data engineering. * Hands-on experience with ...

Senior Data Engineer

Englewood, CO · On-site

$135K - $165K/yr

Data Engineering & Process Development * Lead the design, development, and support of robust ETL ... senior-level technical roles. * Advanced proficiency in SQL, ETL/ELT development, data modeling ...

Apply Early

Senior Data Engineer

Denver, CO · On-site

$145K - $160K/yr

As a Senior Data Engineer on the Platform Team, you will be a part of driving the design ... Your responsibilities include partnering with the architect and engineering teams in developing our ...

Apply Early

next page

Showing results 1-20

Senior Data Engineering information

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or within large organizations. Salary levels depend on factors such as location, industry, certifications, and the complexity of projects handled.

What is a Senior Data Engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

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

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

What engineer makes $500,000 a year?

Senior Data Engineers in high-demand industries or with extensive experience, specialized skills in cloud platforms, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in major tech companies or financial institutions. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in data pipelines, distributed systems, and big data tools.

What engineers make $300,000 a year?

Senior Data Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation varies by industry, location, and company size, with some roles in finance or technology offering higher salaries for senior-level professionals.

How does a Senior Data Engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
What are the most commonly searched types of Data Engineering jobs in Colorado? The most popular types of Data Engineering jobs in Colorado are:
What job categories do people searching Senior Data Engineering jobs in Colorado look for? The top searched job categories for Senior Data Engineering jobs in Colorado are:
What cities in Colorado are hiring for Senior Data Engineering jobs? Cities in Colorado with the most Senior Data Engineering job openings:
Senior Data Engineer

Senior Data Engineer

CEDENT

Denver, CO • On-site

$40 - $60/hr

Contractor

Medical, Dental, Vision, PTO

Posted 20 days ago


Job description

Location: Onsite in Denver, CO
W2 only
Senior Data Engineer Requirements:

  • 8+ years experience with BI tools (Power BI, Tableau, Amazon QuickSight).
  • 8+ years in data engineering (ETL, data transformation, automation).
  • Strong background in AWS services and console navigation.
  • Python and Terraform for automation.
  • Strong analytical skills to interpret AWS billing and usage data.

 
Senior Data Engineer Responsibilities:

·         AWS Cost Optimization & FinOps Analysis

o   Analyze AWS spend data to identify cost-saving opportunities.

o   Work with AWS Cost Intelligence Dashboards to customize and extend their functionality.

o   Interpret AWS billing and usage reports to provide actionable insights.

·         Business Intelligence (BI) Development & Dashboarding

    • Develop, maintain, and enhance BI dashboards in Amazon QuickSight (and potentially Power BI, Tableau).
    • Create new dashboards (50%) and maintain/improve existing dashboards (50%).
    • Generate reports and data visualizations to support FinOps decision-making.

·         Data Engineering & Automation

    • Work with AWS services to extract, transform, and load (ETL) data.
    • Use Python and Terraform to automate data pipelines, infrastructure, and reporting processes.

·         AWS Platform & Console Navigation

    • Navigate AWS environments and services effectively.
    • Leverage AWS tools for data ingestion, storage, and analysis.

·         Collaboration & Communication

    • Work closely with FinOps teams, finance stakeholders, and cloud engineering teams.
    • Communicate insights and recommendations to non-technical stakeholders.
    • Report directly to leadership and contribute to team growth and best practices

Compensation: 
Hourly Rate Range - $40-$60/ hr 
Benefits for this role include:

  • Health, Dental, and Vision Insurance

  • Paid Time Off (vacation and holidays)

  • Paid Sick Leave (HFWA-Compliant) – available to all employees, including part-time and temporary staff, for health and safety needs

(Cedent provides all legally required benefits under Colorado law, including HFWA-compliant sick leave.)

Application Details
  • How to Apply: Submit your resume and cover letter via Cedent Careers Portal at www.cedentinc.com/careers or via email to hr@cedentinc.com.

  • Deadline: Applications accepted until 31sOct 2025, 11:59PM CST


We are an Equal Pay Employer. All employment decisions, including compensation, benefits, hiring, training, and promotions, are made based on merit, qualifications, and business needs. We do not discriminate on the basis of gender, race, ethnicity, age, disability, sexual orientation, or any other protected characteristic. We are committed to ensuring equal pay for equal work and regularly review our compensation practices to promote fairness, equity, and transparency across our organization.


Cedent logo

About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008