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Remote Data Engineer Jobs in Santa Fe, NM (NOW HIRING)

ICF

Senior Manager, Commercial Energy

Santa Fe, NM · On-site +1

Oversee program evaluation, including analysis, data collection, and reporting. * Provide resource ... Bachelor's Degree in Energy, Business, Environmental Sciences, Engineering, Economics, Policy or a ...

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Santa Fe, NM

Remote Data Engineer information

See Santa Fe, NM salary details

$43.7K

$127.3K

$174.2K

How much do remote data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data engineer in Santa Fe, NM is $127,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Santa Fe, NM?

The most popular types of Data Engineer jobs in Santa Fe, NM are:

What are popular job titles related to Remote Data Engineer jobs in Santa Fe, NM?

For Remote Data Engineer jobs in Santa Fe, NM, the most frequently searched job titles are:

What cities near Santa Fe, NM are hiring for Remote Data Engineer jobs?

Cities near Santa Fe, NM with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Santa Fe, NM as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,333 per year, or $61.2 per hour.

Solutions Architect SAP Data Migration

Coastal International Security

Los Alamos, NM • Remote

$98 - $103/hr

Contractor

Re-posted 6 hours ago

Job description

Solutions Architect 4 - SAP Data Migration (DOE/LANL)

Location: Remote, supporting LANL's SAP S/4HANA modernization initiative

Citizenship: U.S. Citizenship Required

Compensation: $98 - $103/hr

Why This Role

LANL is undertaking a greenfield SAP S/4HANA modernization effort and needs a senior, client-side data migration authority who can stand shoulder to shoulder with the System Integrator's data lead as a technical peer. This is not a general data architecture role. It requires someone who has led enterprise SAP data migrations from the inside of a major System Integrator and has since moved into client-side advisory work, someone who knows when to challenge an SI's approach, when to accept their judgment, and when to hold position. You will own the day to day execution of the client's data workstream while also serving as an independent, senior voice on migration architecture, data quality, and go live readiness.

Key Responsibilities

Advisory & Oversight

  • Serve as the client side senior authority on SAP data migration, facing off to the System Integrator's data lead as a technical peer
  • Review and challenge the SI's data migration approach where it carries unnecessary risk, cost, or downstream operational burden
  • Advise on migration architecture for greenfield S/4HANA from non-SAP sources, including legacy concept to SAP concept mapping and tooling trade offs

Hands-on Coordination & Delivery

  • Own day to day execution coordination of the client side data workstream across all domains
  • Serve as the daily point of contact with the SI's data migration team, tracking deliverables and escalating delays
  • Run working sessions with client data owners and the integrator's team, driving open actions and decisions to closure

Data Quality & Reconciliation

  • Set and monitor cleansing standards across data domains, validating that the SI's quality criteria are fit for go live
  • Organize and track mock load cycles and review reconciliation results independently of the SI
  • Surface data quality risks the SI may not flag, including missing legacy concepts and silent data loss in transformation

Governance & Cutover

  • Ensure data migration activities comply with data classification policy and applicable regulatory requirements
  • Maintain the data migration cutover plan and prepare data readiness inputs for go or no go decisions
  • Support hypercare on data related issues post go live, and provide migration status reporting to program leadership

Required Qualifications

  • 15+ years leading enterprise SAP data migration workstreams, with at least 4 full lifecycle S/4HANA programs delivered end to end, greenfield preferred
  • Experience running the data workstream from inside a major System Integrator, followed by client side advisory work
  • Deep hands on experience migrating from non-SAP sources (Oracle EBS, JD Edwards, PeopleSoft, custom systems) into SAP
  • Full scope enterprise migration experience spanning Finance, Supply Chain, HR/HCM, Plant Maintenance / EAM, and Master Data
  • Deep understanding of S/4HANA data models, business partner concept, universal journal, and material ledger
  • Strong grounding in data migration methodology, including ETL design, reconciliation, cutover sequencing, and hypercare support
  • Hands on exposure to at least one regulated compliance framework (HIPAA, SOC 2, PCI-DSS, GDPR, or FedRAMP), with demonstrated ability to translate requirements into migration controls
  • Excellent communication, able to move fluidly from executive readouts to deep technical review with the SI's engineers

Nice to Have

  • Prior experience with Oracle EBS as the source system
  • Familiarity with SAP Business Data Cloud (BDC), Databricks, or Snowflake as staging/reconciliation environments
  • SAP certifications (S/4HANA, Data Migration, or comparable)
  • Experience in audit heavy sectors such as financial services, healthcare, life sciences, pharma, or government

Mandatory Requirements - Read Before Applying

  • S. Citizenship required
  • 15+ years leading enterprise SAP data migration workstreams required, with at least 4 full lifecycle S/4HANA programs delivered end to end
  • Must have worked the data migration workstream from inside a major System Integrator, followed by client side advisory work, candidates without this specific career path will not be considered
  • Must have direct, hands on experience migrating from non-SAP sources (Oracle EBS, JD Edwards, PeopleSoft, or custom systems) into SAP
  • Must have hands on exposure to at least one regulated compliance framework (HIPAA, SOC 2, PCI-DSS, GDPR, or FedRAMP) applied to data migration controls

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