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Senior Analytics Engineer Jobs in Alaska (NOW HIRING)

Sedgwick

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

... Services & Insurance Senior Engineer - LLMOps & MLOps Role Overview This is a high-stakes ... Advanced Analytics Integration: Partner with teams using platforms like Palantir, Databricks, or ...

York Risk Services

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

... Services & Insurance Senior Engineer - LLMOps & MLOps Role Overview This is a high-stakes ... Advanced Analytics Integration: Partner with teams using platforms like Palantir, Databricks, or ...

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Showing results 21-40

All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Alaska

Senior Analytics Engineer information

See Alaska salary details

$64.1K

$136.3K

$197.6K

How much do senior analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior analytics engineer in Alaska is $136,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $154,500.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

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

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Alaska? The most popular types of Analytics Engineer jobs in Alaska are:
What are popular job titles related to Senior Analytics Engineer jobs in Alaska? For Senior Analytics Engineer jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Alaska look for? The top searched job categories for Senior Analytics Engineer jobs in Alaska are:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Alaska as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $136,295 per year, or $65.5 per hour.

Senior Embedded Software Engineer

6AM City, LLC

False Pass, AK • On-site

$120 - $180/hr

Other

Posted 5 days ago

Job description

What We Do

The Software Engineering Institute (SEI) advances the state of the art in software engineering and cybersecurity and serves as a national resource for secure, resilient software systems. The SEI works closely with academia, the U.S. Department of War, other government organizations, and industry to improve the development, acquisition, and sustainment of software‑intensive systems. Our core purpose is to help organizations acquire and operate software‑reliant systems that are secure, reliable, sustainable, and mission‑effective, delivered on time and within budget.

If you are creative, curious, collaborative, technology‑focused, and motivated to solve complex problems in support of national defense, we encourage you to apply.

About the Role

We are seeking a Senior Embedded Software Engineer to support U.S. Navy customers in the acquisition of a software‑based maintenance and readiness application critical to fleet operations and national security. This position provides technical leadership across the software acquisition lifecycle, including architecture analysis, software development oversight, risk reduction, and sustainment planning. The role requires close collaboration with Naval Program Executive Offices (PEOs) and Program Management Offices (PMOs), sustainment organizations, contractors, and fleet stakeholders to ensure software solutions meet operational, maintainability, and long‑term supportability requirements.

The ideal candidate combines hands‑on software expertise (C/C++) with experience supporting Naval acquisition programs, legacy‑dependent systems, and operational environments. This role includes guiding technical teams, evaluating architectural tradeoffs, developing prototypes, analyzing existing source code, and leading customer engagements that inform acquisition and sustainment decisions.

What You'll Do
  • Support Naval software acquisition and sustainment activities in accordance with DoD 5000‑series acquisition guidance, including architecture analysis, software engineering, integration, testing, deployment, and long‑term sustainment planning
  • Provide technical leadership for a fleet‑facing maintenance and readiness application supporting operational availability across afloat and ashore environments
  • Advise Navy Program Executive Offices (PEOs), Program Management Offices (PMOs), and government stakeholders on software design decisions, technical risks, modernization strategies, and tradeoffs associated with large, legacy‑dependent systems
  • Lead software development efforts from concept through deployment, with an emphasis on C and C++‑based implementations supporting high‑performance and mission‑critical use cases
  • Demonstrate software architecture expertise by developing and maintaining design artifacts such as data‑flow diagrams, sequence diagrams, interface control definitions, and quality attribute specifications to support scalable, maintainable, and resilient solutions
  • Analyze existing source code, system interfaces, and data flows to identify technical debt, sustainment risks, and modernization opportunities.
  • Develop prototypes and technical demonstrations to support risk reduction, acquisition decision‑making, and capability maturation
  • Collaborate with senior U.S. Navy and government stakeholders, contractors, integrators, SEI staff, and leadership to assess needs and deliver technically sound recommendations
  • Lead and mentor a team of developers, fostering disciplined engineering practices, continuous improvement, and mission focus
  • Support customer engagements such as technical interchange meetings (TIMs), design reviews, and acquisition milestone activities, providing clear, defensible technical input
  • Maintain awareness of emerging technologies, software development best practices, and Naval digital modernization initiatives relevant to sustainment and maintenance systems
Who You Are
  • Ability to obtain and maintain an active Department of War (DoW) security clearance; an existing SECRET or higher clearance is preferred
  • Previous experience leading, architecting, or developing large scale Navy acquisition programs including Aegis Combat System, SM‑series interceptors, Sea Sparrow Missile System and/or Surface Electronic Warfare programs
  • Previous experience working with large scale Naval Command elements such as NAVSEA, NAVAIR, NAVWAR, NAVFAC, NIWC or their predecessors such as SPAWAR
Education and Experience Requirements:
  • BS in Computer Science, Electrical Engineering, or a related discipline with ten (10) years of relevant experience; OR Master's degree in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience
  • Proven experience designing and implementing complex software architectures for mission‑critical or sustainment‑focused systems
  • Demonstrated ability to identify, analyze, and balance architecture drivers, tradeoffs, extensibility, and long‑term maint
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