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Senior Data Engineer Jobs in New Mexico (NOW HIRING)

Corning

Sr Data Analytics Engineer

Apodaca, NM

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact? Would you like to join a global organization ...

Cardinal Health

$72K - $91K/yr

Sr. Data Analyst, Data Analysis Finance Digital Partner In Cardinal Health's Finance Digital ... Partner with Data Engineers and Data Scientists to design data models and support standardized ...

Booz Allen Hamilton

Data Architect, Senior

Albuquerque, NM

$65.25 - $87.25/hr

You Have: * 5+ years of experience in data architecture, data engineering, or analytics engineering ... to senior technical and non-technical stakeholders, and coordinate across internal teams * Top ...

Oracle

Senior Data Center Commissioning Engineer

Anthony, NM · On-site

$94K - $127K/yr

Bachelor's degree in Engineering, Construction Management, or related field (or equivalent practical experience). * Significant experience commissioning mission-critical facilities (data centers ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in New Mexico

Senior Data Engineer information

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$78.5K

$122.4K

$169.6K

How much do senior data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior data engineer in New Mexico is $122,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $139,500.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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 strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in New Mexico?

The most popular types of Data Engineer jobs in New Mexico are:

What are popular job titles related to Senior Data Engineer jobs in New Mexico?

For Senior Data Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in New Mexico look for?

The top searched job categories for Senior Data Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Senior Data Engineer jobs?

Cities in New Mexico with the most Senior Data Engineer job openings:

What are popular job titles related to Senior Data Engineer jobs in NM?

For Senior Data Engineer jobs in NM, the most frequently searched job titles are:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,421 per year, or $58.9 per hour.

Sr Data Analytics Engineer

Corning

Apodaca, NM

$113K - $136K/yr

Full-time

Re-posted 8 days ago

Corning rating

8.3

Company rating: 8.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

67th of 545 rated manufacturers

Job description

Senior Data Analytics Engineer

Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact?

Would you like to join a global organization where you can build scalable data solutions, generate actionable insights, and help teams make better decisions through trusted, high-quality data?

ROLE DESCRIPTIONWhat is your role?

The Senior Data Analytics Engineer is responsible for designing, building, and maintaining reliable data pipelines while also performing data analysis to support business decision-making. This role bridges engineering and analytics, ensuring that high-quality, accurate, and accessible data is available across the organization. The position works closely with cross-functional teams to transform business needs into scalable data solutions, reporting, and actionable insights.

Major responsibilities and tasks of the position:
  • Develop, maintain, and optimize scalable data pipelines and ETL/ELT processes using Databricks and related tools
  • Build and maintain data models, dashboards, and analytics solutions that support reporting and business KPIs
  • Ensure data quality, governance, traceability, and integrity through monitoring and validation processes
  • Partner with cross-functional stakeholders to identify business needs and deliver data-driven insights and solutions
REQUIREMENTSWhat do you need to have?
  • Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or a related field
  • 3 to 5 years of experience in data engineering, data analytics, analytics engineering, or a similar role
  • Hands-on experience with Databricks, including data pipelines, SQL, Delta Lake, and notebooks
  • Strong SQL and Python skills for data manipulation, transformation, and analysis
  • Experience with ETL/ELT pipelines, data modeling, and data quality/governance practices
  • Experience with BI tools such as Power BI, Tableau, or similar platforms
  • Familiarity with cloud platforms such as Azure, AWS, or GCP
  • Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders
  • English proficiency, both spoken and written
PREFERRED QUALIFICATIONS
  • Master’s degree in Artificial Intelligence, Statistics, or a related field
  • Familiarity with SAP ERP systems and integration with data solutions
  • Experience working with manufacturing KPIs, statistical process control, or Six Sigma concepts
  • Exposure to predictive modeling and machine learning pipelines
  • Understanding of Agile methodologies such as Scrum and Kanban
BENEFITS OF WORKING FOR CORNINGWhat we offer?
  • Competitive compensation and benefits package
  • A collaborative environment that supports learning, innovation, and professional growth
  • The opportunity to work on impactful, cross-functional data and analytics initiatives
  • Exposure to modern data tools, cloud technologies, and business-critical decision-making
  • Equal opportunity employer

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com

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