Data Engineer Jobs in Alaska, United States

Senior Data Engineer – Real-Time Data & Visualization Focus at Highmark Health and Allegheny Health Network. Remote U.S. position requiring U.S. citizenship.

Highmark Health’s Cloud Data Products & Analytic Enablement team transforms diverse data sources into actionable intelligence for critical business decisions. The Senior Data Engineer designs, builds, and optimizes scalable GCP pipelines using BigQuery, Cloud Composer, DataFlow, and Cloud Run, while ensuring data quality, governance, and security.

Analytics Data Engineering team at Highmark Health builds cloud-native data pipelines and analytical assets to turn diverse healthcare data into actionable insights. The Senior Analytic Data Engineer designs, develops, and optimizes GCP‑based data workflows, curates datasets, and partners with stakeholders to deliver scalable data products.

Data Engineer on the Highmark Health data platform, building and maintaining robust data pipelines and warehouses to support analytics across healthcare operations. The role designs data models, implements governance, and collaborates with IT, product, and analytics teams to ensure data quality and compliance.

Data Engineer on SEL’s data team, building scalable pipelines with Azure Data Factory, SQL, and on-prem SSIS/SSAS to serve Finance, Manufacturing, and Sales. Designs relational and dimensional models, collaborates with stakeholders on reporting, and optimizes performance and reliability.

The Data Engineer at First American Title builds scalable ETL/ELT pipelines and big data solutions using Python, PySpark, and Databricks to support advanced analytics across the organization. The role designs and maintains data integration workflows, graph database solutions, and CI/CD pipelines, collaborating with developers, data scientists, and stakeholders to deliver secure, high‑performance data platforms.

Director, Data Engineering at Centene leads a data engineering team that designs and develops large‑scale, efficient data pipelines to support complex analytics across the organization. The role directs strategic development of data reliability, infrastructure, and technology roadmap, ensuring high‑quality data products and governance.

Manager, Data Engineering at Centene leads the data platform and infrastructure, mentors a team of data engineers, and drives the design and development of large-scale, efficient data pipelines. The role translates business goals into technical designs, partners with product and design leads, and prioritizes data production projects.

Senior Data Engineer on the Highmark Health data platform, building and maintaining scalable data pipelines and warehouses to support analytics across the health network. The role designs robust data processes, collaborates with stakeholders, and mentors junior engineers while ensuring data quality, governance, and security.

Senior Data Engineer on the MMA National IT Team builds scalable Azure data pipelines using Databricks, ADF, and Spark. The role designs and optimizes data models, orchestrates batch and real‑time workflows, and supports AI/ML workloads on Databricks.

Analytics Data Engineering team at Highmark Health builds and maintains the Analytic Data Warehouse and Discovery Platform supporting HEDIS reporting and healthcare analytics. The Senior Analytic Data Engineer designs, develops, and optimizes data pipelines, integrates alternative analytic systems, and leads functional project efforts while mentoring intermediate contributors.

CDK Global seeks a Staff Production DBA/Data Engineer to lead and mentor a team of DBAs and engineers, ensuring performance, scalability, and uptime of production data systems across AWS and Azure. Responsibilities include troubleshooting full-stack issues, managing SQL Server and PostgreSQL databases, implementing observability with New Relic, designing and maintaining ETL/ELT pipelines using Airflow, Kafka, Debezium, Qlik, and SSIS, developing automation scripts in PowerShell, Python, and Bash

Data Center Engineering Operations Team at Amazon builds and maintains the physical infrastructure that powers AWS cloud services. The Chief Engineer leads facility operations, oversees electrical, mechanical and fire safety systems, conducts root cause analysis, trains technicians, and drives efficiency initiatives.

Speechify’s AI Data team builds petabyte-scale audio datasets to train next‑generation text‑to‑speech models. The Software Engineer designs and extends the GCP ingestion pipeline, scrapes new audio sources, and collaborates with scientists to improve cost, throughput, and quality.

Semantic Data Team at WEX is reimagining the enterprise data platform by turning raw data into semantically meaningful, reusable business assets. As a Staff Software Engineer you will design and build 360 data models, develop transformation pipelines in SQL and Python, and leverage AI coding assistants to accelerate development and ensure trustworthy data assets.

Senior Staff Machine Learning Engineer/ Data Scientist at Autodesk’s GET (Growth Experience Technology) team, driving data-informed decisions for B2C eCommerce. Lead end-to-end ML pipelines, recommendation systems, forecasting, churn prediction, and product analytics.

Pre and Post Sales Engineer, Data Center Power on the Smart Power Solutions team at nVent. The role drives technical leadership for data center power solutions, providing product support, evaluating RFIs/RFQs, delivering customer training, and preparing documentation while collaborating with sales and engineering.

Solution Engineering team at CompuNet designs, tests, deploys and supports modern IT infrastructure for customers. The Solutions Engineer drives pre‑sales system design, creates Bills of Materials and Statements of Work, then leads post‑sales implementation, documentation and end‑user training.

Solution Engineering team at CompuNet designs, tests, deploys and supports data center IT solutions for enterprise customers. The Senior Solutions Engineer leads pre‑sales system design, creates Bills of Materials and Statements of Work, and drives post‑sales implementation, documentation and end‑user training across multiple data center technologies.