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Data Engineer Jobs in Alaska (NOW HIRING)

GCI

Data Analytics Engineer I (Future Opening)

Anchorage, AK · On-site

$118K - $142K/yr

GCI's Data Analytics Engineer I will be responsible for designing, developing, and maintaining interactive dashboards and reports that support data driven decision making within the organization.

Resource Data

Database Engineer

Juneau, AK · On-site

$95K - $108K/yr

As a Database Engineer at Resource Data, you will support and optimize Oracle and PostgreSQL database systems along with cloud infrastructure environments that power mission-critical applications.

Resource Data

Systems Engineer

Juneau, AK · On-site

$83K - $91K/yr

As a Systems Engineer at Resource Data, you will design, implement, support, and optimize infrastructure solutions across on-premises and cloud environments. This role works independently to ...

WFN Team Indus US Test Client 2

Data Analyst

Anchorage, AK · On-site

$1K - $2K/yr

Strong proficiency in R and SAS programming languages. Preferred Qualifications: * Experience in the agriculture industry or related fields. * Familiarity with advanced data analysis techniques and ...

Resource Data, Inc

Database Engineer

Juneau, AK · On-site

$95K - $108K/yr

As a Database Engineer at Resource Data, you will support and optimize Oracle and PostgreSQL database systems along with cloud infrastructure environments that power mission-critical applications.

Resource Data, Inc

Systems Engineer

Juneau, AK · On-site

$83K - $91K/yr

As a Systems Engineer at Resource Data, you will design, implement, support, and optimize infrastructure solutions across on-premises and cloud environments. This role works independently to ...

General Motors

Senior AI/ML Engineer

Juneau, AK · On-site +1

$110K - $152K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

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All JobsData Engineer JobsData Engineer Jobs in Alaska

Data Engineer information

See Alaska salary details

$47.9K

$139.7K

$191.2K

How much do data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data engineer in Alaska is $139,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $148,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Alaska? The most popular types of Data Engineer jobs in Alaska are:
What are popular job titles related to Data Engineer jobs in Alaska? For Data Engineer jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Alaska look for? The top searched job categories for Data Engineer jobs in Alaska are:
What are popular job titles related to Data Engineer jobs in AK? For Data Engineer jobs in AK, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Alaska as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,697 per year, or $67.2 per hour.

Senior Data Engineer

Tanaq Technical Services LLC

Anchorage, AK • On-site

$108K - $147K/yr

Full-time

Posted 12 days ago

Job description

Description:


Overview


Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT) Corporation, is an 8(a) Alaskan Native Small Business that specializes in delivering Enterprise Integrated Technology Solutions and Support Services to the Federal Government. TTS’s innovative approach combines proactive strategies, efficient processes and emerging technologies to deliver seamless, integrated services for our clients. TTS prides itself in being Mission Driven, People Focused. To learn more about us, visit https://tanaq.com/tanaq-technical-services.


About the Role


We are seeking a Senior Data Engineer to design, optimize, and maintain data pipelines and systems that support HUD AI/ML proofs of concept and pilots. The Data Engineer will ensure efficient, scalable, and secure data workflows for machine learning, advanced analytics, and AI integration.


This is a fully remote position supporting a federal government contract that requires a federal background check and NACI clearance. Candidates must reside in the United States.


Responsibilities

  • Design and optimize data pipelines and architectures for AI/ML workflows on cloud platforms.
  • Develop ETL/ELT processes, ensuring data quality, consistency, and accessibility.
  • Configure and manage AI/ML-ready cloud infrastructure (AWS Bedrock, Azure OpenAI).
  • Collaborate with Data Scientists to operationalize models and enable scalable AI solutions.
  • Implement data governance, versioning, and lineage tracking for compliance.
  • Monitor and maintain high-performance data systems and optimize for throughput.
Requirements:


Required Experience and Skills

  • 5+ years of experience in data engineering for AI/ML workflows
  • Expertise in cloud-native data systems and large-scale data processing
  • Familiarity with AI/ML pipelines, reproducible workflows, and federal compliance
  • Previous experience supporting HUD OCIO preferred.
  • Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.


Technical Skills

  • Cloud platforms: AWS Bedrock, Azure OpenAI, S3, Redshift, Data Factory
  • ETL/ELT frameworks: Airflow, Spark, Databricks
  • Data modeling, schema design, and optimization for AI workloads
  • Programming: Python, SQL
  • Version control: Git/GitHub/GitLab
  • Data governance, metadata management, and logging


Core Competencies

  • Collaboration with Data Scientists, DevOps, and UX teams
  • Problem-solving for scalable AI/ML pipelines
  • Documentation and reproducible workflows
  • Agile development mindset and iterative improvement
  • Security, privacy, and compliance awareness


Education and Training

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field. Master’s degree in related field, preferred.
  • Certifications in cloud data platforms (AWS, Azure), preferred.


Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer. May occasionally need to lift up to 25 pounds.


Who We Are


Tanaq Technical Services (TTS) strives to deeply understand and analyze our clients’ vision, needs, and requirements so we may provide alternative solutions, empowering them to choose the best resolution. We aim to achieve excellence by delivering on our commitments to our clients, employees, and partners.


Our Commitment to Non-Discrimination


Tanaq Technical Services is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local law. Tanaq complies with the Drug-free Workplace Act of 1988 and E-Verify.


If you are an individual with a disability and need assistance completing any part of the application process, please email accommodation@tanaq.com to request a reasonable accommodation. This email is for accommodation requests only and cannot be used to inquire about the status of applications.


Notice on Candidate AI Usage


Tanaq is committed to ensuring a fair and competitive interview process for all candidates based on their experience, skills and education. To ensure the integrity of the interview process, the use of artificial intelligence (AI) tools to generate or assist with responses during phone, in person and virtual interviews is not allowed. However, candidates who require a reasonable accommodation that may involve AI are required to contact us prior to their interview at accommodation@tanaq.com.


To apply for this and other positions with our company, visit:

https://recruiting.paylocity.com/recruiting/jobs/All/31dd0607-5fe1-43cc-a916-35084f250a54/Tanaq-Technical-Services-LLC

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