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Extraction Engineer Jobs in Colorado (NOW HIRING)

You are an experienced data engineer who designs, develops, and maintains scalable datasets and high-quality ETL pipelines in AWS. You bring a comprehensive understanding of data architecture, data ...

You are an experienced data engineer who designs, develops, and maintains scalable datasets and high-quality ETL pipelines in AWS. You bring a comprehensive understanding of data architecture, data ...

New

Principal Data Engineer

Boulder, CO ยท On-site

$120K - $165K/yr

As a Principal Data Engineer, you will lead a team in building and maintaining scalable, reliable ... Lead the design and implementation of ETL processes, extracting, transforming, and loading data ...

Data Engineer

Denver, CO ยท On-site

$115K - $140K/yr

The Data Engineer will join our customer's team and design, build, and maintain scalable data ... Design, develop, and maintain scalable and reliable ETL/ELT pipelines for data ingestion ...

Senior Data Engineer

Denver, CO ยท On-site

$40 - $60/hr

Location: Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience ... Work with AWS services to extract, transform, and load (ETL) data. * Use Python and Terraform to ...

Data Engineer

Denver, CO ยท On-site

$115K - $140K/yr

The Data Engineer will join our customer's team and design, build, and maintain scalable data ... Design, develop, and maintain scalable and reliable ETL/ELT pipelines for data ingestion ...

Data Engineer

Denver, CO

$115K - $140K/yr

The Data Engineer will join our customer's team and design, build, and maintain scalable data ... Design, develop, and maintain scalable and reliable ETL/ELT pipelines for data ingestion ...

Lead Data Engineer

Englewood, CO ยท On-site

$101K - $133K/yr

Job Summary (Lead Data Engineer - Englewood, CO) - Lead the design, development, and maintenance of scalable ETL pipelines using Spark to ensure data quality and availability. - Execute advanced ...

Data Integration Engineer

Denver, CO ยท On-site

$100K - $115K/yr

Scope spans data modeling, ETL/ELT development, API and application integration, metadata-driven ... The engineer owns pipelines and integrations end to end, working within architectural patterns set ...

Sr. Data Engineer

Greenwood Village, CO ยท On-site

$115K - $139K/yr

Advanced SQL skills (ETL) * Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python * Experience with BigData tools, particularly Spark, and familiarity ...

Define standards and procedures for, and design data extraction, transformation, and loading (ETL ... Engineering, or closely related field plus 5 years of experience in job offered or similar roles.

Define standards and procedures for, and design data extraction, transformation, and loading (ETL ... Engineering, or closely related field plus 5 years of experience in job offered or similar roles.

Define standards and procedures for, and design data extraction, transformation, and loading (ETL ... Engineering, or closely related field plus 5 years of experience in job offered or similar roles.

Data Conversion Software Engineer

Denver, CO ยท On-site

$60K - $100K/yr

As a Data Conversion Software Engineer , you'll help design, build, and maintain systems that ... Experience designing data ingestion or ETL-style pipelines * Understanding of RESTful services and ...

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 ...

Location: Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience ... Work with AWS services to extract, transform, and load (ETL) data. * Use Python and Terraform to ...

Define standards and procedures for, and design data extraction, transformation, and loading (ETL ... Engineering, or closely related field plus 5 years of experience in job offered or similar roles.

Data Engineer

Boulder, CO ยท On-site

$120K - $144K/yr

Design, develop, and maintain scalable ETL/ELT pipelines. * Build and support integrations between ... Participate in code reviews and contribute to best practices for data engineering. * Expand data ...

Showing results 21-40

Extraction Engineer information

What is the difference between Extraction Engineer vs Petroleum Engineer?

AspectExtraction EngineerPetroleum Engineer
CredentialsBachelor's in Petroleum Engineering, Geology, or related fieldBachelor's in Petroleum Engineering, Chemical Engineering, or related field
Work EnvironmentOn-site at drilling sites, oil fields, or production facilitiesOffice-based with field visits, primarily in oil and gas industry
Industry UsageFocuses on extracting resources from underground or underwater reservoirsDesigns and develops methods for extracting oil and gas efficiently

Extraction Engineers specialize in the physical process of extracting resources from the earth, often working directly at drilling sites. Petroleum Engineers have a broader role, including designing extraction methods, optimizing production, and ensuring safety. Both roles require similar educational backgrounds and industry experience, but Extraction Engineers focus more on operational tasks, while Petroleum Engineers handle planning and development.

Infographic showing various Extraction Engineer job openings in Colorado as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Sr Data Developer (ETL)

Colorado Springs, CO โ€ข On-site

Excelacom
IT Servicesย โ€ขย 501 - 1,000 employees

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

Sr Data Developer (ETL)
Greenwood Village, CO
Who We Are:
Excelacom is a global consulting and technology solutions firm solving client's complex business and technology challenges through a mix of consulting expertise, telecom-focused software, and managed services within the communications and media industries.
Who You Are:
You are an experienced data engineer who designs, develops, and maintains scalable datasets and high-quality ETL pipelines in AWS. You bring a comprehensive understanding of data architecture, data engineering, and data analysis, along with the ability to create reliable data products that support reporting and advanced analytics. You thrive in highly technical, cross-functional environments and combine strong problem-solving, troubleshooting, communication, and collaboration skills with a willingness to mentor others.
As a Consultant, you'll contribute to client engagements by delivering insights, building deliverables, and leading workstreams. You'll be expected to bring strong analytical thinking, and a proactive mindset to solve client problems and drive transformation.
Role and Responsibilities:
You may work on various projects throughout your career with Excelacom. The roles and responsibilities noted below pertain to the specific role listed above.
  • Design, develop, and maintain robust, scalable ETL pipelines and datasets within AWS.
  • Coordinate, build, and manage new data ingestions from diverse and disparate sources.
  • Architect and implement updates, fixes, and performance optimizations across a suite of production data jobs.
  • Write, review, test, and maintain production-quality code supporting high-volume data processing.
  • Optimize queries, data models, and pipeline performance for datasets containing billions of records per day.
  • Monitor production workflows, troubleshoot data and processing issues, and implement durable resolutions.
  • Partner with data analysts and data scientists to design, build, and deploy data aggregation processes that support reporting and analytic solutions.
  • Recommend and implement technical and process improvements that increase reliability, scalability, efficiency, and maintainability.
  • Evaluate emerging technologies through proof-of-concept development, testing, and documented recommendations.
  • Mentor junior developers through technical guidance, code reviews, knowledge sharing, and development best practices.
  • Collaborate effectively with technical and cross-functional stakeholders to translate business and analytical needs into scalable data solutions.
  • Work closely with clients to identify process improvements
  • Analyze business challenges and recommend technology-driven solutions
  • Support system development, integration, and testing activities
  • Develop presentations, deliverables, and implementation plans
  • Assist with proposals and business development efforts

Required Qualifications:
  • Advanced experience designing and architecting ETL processes, data pipelines, and analytic data products.
  • Hands-on experience with Apache Iceberg and large-scale table formats.
  • Strong Hadoop and Spark SQL experience, including performance tuning and query optimization.
  • Hands-on experience with AWS data services, including EMR, Lambda, Glue, Step Functions, and Airflow.
  • Demonstrated experience processing and optimizing very large datasets, including workloads involving billions of records per day.
  • Strong Python scripting and development skills, including PySpark and workflow or control scripts.
  • Experience writing, reviewing, testing, and troubleshooting production code.
  • Deep understanding of data architecture, data engineering principles, data modeling, and data analysis.
  • Strong problem-solving, troubleshooting, communication, and cross-functional collaboration skills.
  • Demonstrated ability to mentor junior team members and provide constructive technical guidance.
  • Prior consulting experience - in an agile environment - with a leading strategy firm, consulting practice, or consulting technology firm
  • Proficiency in Microsoft Office (Word, Excel, PowerPoint, Visio)
  • Strong verbal and written communication skills
  • Bachelor's degree, preferably in Computer Science or related field

Preferred Qualifications:
  • Additional hands-on experience with Apache Spark and Scala.
  • Experience using Git for version control and collaborative software development.
  • Experience with shell scripting and Linux-based development or production environments.
  • Experience building data products for reporting, statistical analysis, data science, or advanced analytics.
  • Prior experience in Telecommunications, Media, or Cable is highly preferred
  • Past success in generating new business with existing clients
  • Good time management and collaboration skills

Compensation and Benefits:
Excelacom offers competitive salaries, health and wellness benefits, 401(k), paid time off, and career growth opportunities. For regular full-time employees, the estimated salary range is from $90,000 to $115,000.
EEO Statement:
Excelacom, Inc. is an equal opportunity employer. Any decision affecting employment, compensation, promotion, or transfer will be based solely on personal qualifications and merit, regardless of sex, race, color, religion, gender identity, sexual orientation, marital status, national origin, disability, age, results of genetic testing, service in the military, pregnancy, childbirth or other related medical conditions or any other factor protected under applicable law. #LI-JH1