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Senior Data Engineering Jobs in Colorado (NOW HIRING)

Senior Data Engineer

Denver, CO · On-site

$45 - $48/hr

Senior Data Engineer Location: Denver, CO Employment Type: Contract Rate: $45-48/hr We are seeking ... SQL & Database Engineering * Python & Apache Spark * AI/ML Frameworks & Big Data Technologies Key ...

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 ...

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

$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 ...

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 ...

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.

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 ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

The Sr. Data Engineer acts as a consultant to business managers, architecture, security and ... Maintain deep expertise in data engineering and modern data architectures and Databricks ...

Senior Data Engineer

Denver, CO

$109K - $148K/yr

The Sr. Data Engineer acts as a consultant to business managers, architecture, security and ... Maintain deep expertise in data engineering and modern data architectures and Databricks ...

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 ...

Sr. Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

Advanced SQL skills (ETL) * Expertise in data engineering languages such as Scala (preferred) or ... the Sr Data Engineer role is crucial in building and maintaining the data infrastructure that ...

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 ...

Senior Data Engineer

Boulder, CO · On-site

$111K - $151K/yr

The Senior Data Engineer plays a crucial role in building and maintaining the data infrastructure ... data engineering or a similar role. • Proficiency in at least one programming language such as ...

Follow good engineering practices like documentation, diagrams, and unit/validation tests * Take ... a Senior Data Engineer to join us as we work to shape the way businesses perceive and navigate ...

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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 cities in Colorado are hiring for Senior Data Engineering jobs? Cities in Colorado with the most Senior Data Engineering job openings:
Infographic showing various Senior Data Engineering job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

K-Tek Resourcing LLC

Denver, CO • On-site

$45 - $48/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Senior Data Engineer

Location: Denver, CO

Employment Type: Contract

Rate: $45–48/hr

We are seeking a highly skilled Senior Data Engineer with expertise in SQL, Python, Apache Spark, AI/ML frameworks, and Big Data technologies to design, build, and optimize scalable data platforms. This role is ideal for professionals who are passionate about developing high-performance data pipelines, working with large-scale distributed data systems, and enabling AI/ML-driven business solutions.

If you have strong experience in modern data engineering, distributed computing, and cloud-scale analytics, we''d love to hear from you.

Top Required Skills:

  • SQL & Database Engineering

  • Python & Apache Spark

  • AI/ML Frameworks & Big Data Technologies

Key Responsibilities:

  • Design, develop, and optimize scalable data pipelines for large-scale enterprise data processing.

  • Develop high-performance ETL/ELT workflows using Apache Spark and Python.

  • Write efficient, optimized SQL queries for data extraction, transformation, and analysis.

  • Build, deploy, and support AI/ML models using modern machine learning frameworks.

  • Process and analyze large datasets using Delta Lake and distributed data platforms.

  • Design and manage enterprise database solutions while ensuring data quality, integrity, and performance.

  • Collaborate with Data Scientists, Data Engineers, Architects, and business stakeholders to deliver data-driven solutions.

  • Optimize Spark jobs and distributed processing workloads for scalability and reliability.

  • Troubleshoot performance bottlenecks and continuously improve data processing efficiency.

  • Contribute to best practices in data engineering, AI/ML integration, and enterprise analytics.

Required Qualifications:

  • Strong hands-on experience with SQL and relational databases.

  • Proficiency in Python for data engineering and analytics.

  • Extensive experience developing applications and data pipelines using Apache Spark.

  • Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.

  • Experience working with Big Data technologies including Delta Lake.

  • Strong understanding of distributed data processing and large-scale data architectures.

  • Experience integrating and managing multiple enterprise databases.

  • Strong analytical, problem-solving, and debugging skills.

  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Experience with cloud data platforms (AWS, Azure, or Google Cloud Platform).

  • Experience with Delta Lake architecture and Lakehouse implementations.

  • Familiarity with Databricks or similar big data analytics platforms.

  • Experience with CI/CD and DevOps practices for data engineering.

  • Knowledge of modern data governance and data quality frameworks.

If you are a Data Engineer with expertise in SQL, Spark, Python, AI/ML, and Big Data technologies, we encourage you to apply with your updated resume.