Data Engineering Jobs in Remote, OR (NOW HIRING)

This role is responsible for designing, building, and maintaining scalable data pipelines and architectures that enable advanced analytics, reporting, and machine learning capabilities. The ideal candidate will have experience working with Lakehouse architectures, cloud-based data platforms, and integrating AI/ML solutions into busines s intelligence environments. Key Responsibilities: * Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting structured and unstructured data * Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar platforms) * Integrate data from multiple sources including enterprise systems, cloud platforms, and external data feeds * Develop and optimize data models to support busines s intelligence, analytics, and reporting requirements * Collaborate with data scientists and analysts to enable machine learning and AI-driven insights * Support the deployment and operationalization of ML models within production data environments * Ensure data quality, integrity, governance, and compliance with DoD and federal data standards * Develop dashboards and reporting solutions using BI tools (e.g., Power BI, Tableau) * Optimize performance and scalability of data platforms in cloud environments (AWS, Azure, or similar) * Document data architecture, workflows, and technical solutions Minimum Qualifications: * Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.

Equivalent combination of education and experience will be considered. * 5+ years of experience in data engineering, busines s intelligence, or related field * Active Secret Clearance Required * Experience with data lake or Lakehouse architectures * Strong proficiency in SQL and at least one programming language (Python, Scala, or Java) * Experience with cloud platforms (AWS, Azure, or Google Cloud) * Familiarity with ETL/ELT tools and big data technologies (e.g., Spark, Hadoop) * Experience supporting BI tools such as Power BI, Tableau, or similar * Understanding of data governance, security, and compliance requirements Preferred Qualifications: * Experience with Databricks, Snowflake, or Delta Lake * Experience integrating or supporting machine learning models in production environments * Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, or scikit-learn) * Familiarity with DevSecOps and CI/CD pipelines for data solutions * Experience supporting federal or DoD environments * Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Why ASRC? As a wholly owned subsidiary of Arctic Slope Regional Corporation, an Alaska Native Corporation, we are inspired by the Iñupiat culture.

We embrace stewardship and the idea of using every resource effectively; teamwork when striving to achieve goals and building a collaborative environment; integrity in adhering to high moral principles and professional standards; respect in welcoming and regarding the differing opinions, experiences, rights and traditions of others; accountability in that we meet our commitments and take responsibility for our results; and continuous improvement, always striving to make things better, raising the bar and staying humble. Advantages of Working at ASRC Federal: * Purpose-Driven Careers: Join a company recognized as a: * Certified Great Place to Work * Military Times' Best for Vets Employer * Military.com's Top 25 Veteran Employer * Comprehensive Benefits: * Insurance Coverage: Comprehensive plans for medical, dental, vision, life insurance, and short-term/long-term disability * Paid Leave: Inclusive policies for bereavement, military obligations, and parental needs, along with 11 paid holidays annually * Retirement Savings: A 401(k) plan with a generous company match and immediate vesting to help secure your financial future * Incentives: Employee referral bonuses to reward you for helping grow the ASRC Federal Family * Learning and Development: * After 90 days of employment, regular full-time employees are eligible for our professional development program. This includes annual funding for: * Pursuing Associate's, Bachelor's, or Graduate Degrees * Obtaining industry-standard professional certifications * Participating in professional certificate programs * Covering registration fees for professional conferences * Centers of Excellence: We established the Centers of Excellence to build, leverage and grow our technological capabilities, best practices and offer professional development for our technical teams.

They contain many Communities of Practice which are forums that offer a platform to share ideas, best practices, innovations, and to collaborate with technical peers. Embark on a career with ASRC Federal, where your growth, purpose, and well-being are at the forefront of what we do! Data Management: Applications will be reviewed in intervals.

The first 15 candidates will be considered, followed by subsequent groups of 15. We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law.

The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary. EEO Statement ASRC Federal and its Subsidiaries are Equal Opportunity employers.

All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.