ASRC Federal, a wholly owned subsidiary of Alaska’s largest Alaskan-owned and operated company, the Arctic Slope Regional Corporation (ASRC), is a leading provider of mission-cri
Senior Data Engineer
Location
United States
Posted
15 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
ASRC Federal
Role Description ASRC Federal Technology Solutions is seeking a Business Intelligence Data Engineer – Lakehouse / ML / AI to support enterprise data modernization efforts for the Defense Contract Audit Agency (DCAA). 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 business intelligence environments. - 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 business 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 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, business 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) 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, including funding for degrees, certifications, and professional conferences - Centers of Excellence: Forums to share ideas, best practices, innovations, and collaborate with technical peers
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Data Engineer
Pear Tree.Hire smarter, hire globally — scale your business while saving up to 80% on local costs. www.pear-tree.com
• Design and deliver modern data platforms using tools like Snowflake, Microsoft Fabric, Azure, Fivetran, Coalesce, dbt, and Power BI • Build and maintain scalable data pipelines and data models • Ensure data quality, reliability, and governance standards are met • Support data integration, transformation, and warehousing processes • Contribute to internal standards, frameworks, and best practices • Collaborate with technical teams to improve data architecture and performance • Continuously improve data workflows and engineering processes
Lead Software & Data Architect Engineer
BAE Systems, Inc.Improving the future and protecting lives is an ambitious mission, but it’s what we do. As a leading aerospace, defense, and security company, we work together to deliver a full range of products and services for air, land, space, and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. How we work is rooted in purpose – a purpose to protect those who protect us, to unite our community of colleagues and customers, and to drive forward the growth and development of our exceptional team members. It's where purpose connects.
Job Description Join the BAE Systems Mission Integration Solutions (MIS) team in our new role as Lead Software & Data Architect. This is a key role leading our software and data architecture across multiple lines of effort including aviation, space, digital infrastructure and physical infrastructure; for some of our nation's largest and most critical defense programs. These programs are demanding and complex, requiring creative solutions that stretch the state of the art in software engineering and data science. You will be at the heart of the team, setting the technical direction and ensuring we have the right people, processes and tools to win and deliver these programs. You will also be a practitioner, working hands-on to bring your creative solutions to life as proof-of-concepts, win proposals and transition them into operational capabilities. The right candidate will therefore have intellectual curiosity and possess a broad knowledge and experience base across all information technology domains, especially software engineering and data science. You will be capable of operating at all levels of abstraction from overall system-of-systems architecture through to the detail of implementation and operation. The ability to interact and collaborate outside our local business domain is essential in this role - "seeking to connect" will be your mantra. You need to have a high level of organizational savvy and the ability to interact effectively with stakeholders at all levels of the business, capable of translating complex, technical information into an easily understood narrative. You will be an ambassador for our software and data science activities and foster new relationships inside and outside BAE Systems including customers, partners and academia. You will be responsible for developing your staff and those of the broader team by mentoring, coaching and training them in use of the latest techniques. You will support the broader BAE Systems enterprise as an expert internal reviewer for programs in other business areas. You will represent the company at national/international trade events and symposia. Required Education, Experience, & Skills - Proven track record in software and data architecture of both small and large/complex systems - Demonstrable experience of taking IT solutions from proof-of-concept through to production - Demonstrable experience writing and developing software individually and/or as part of a team - Grounding in one or more relevant technical areas: - Programming languages and tools (e.g. Python, .NET, Go, C/C++, Rust) - Software development techniques (e.g. DevSecOps, Agile) - Data science languages and tools (e.g. Matlab, R) - Data science techniques and infrastructure - Artificial intelligence and machine learning - Bachelor's degree in Computer Science, Data Science, Engineering or similar fields - Understanding of engineering life cycle management processes - Experienced in the supervision of small technical teams - Must currently possess a Security Clearance Preferred Education, Experience, & Skills - Higher-level degree in Computer Science, Data Science, Engineering or similar fields - Deep grounding in one or more relevant technical areas evidenced through released products - Experienced in engineering lifecycle management inc. proposal development and business winning Pay Information Full-Time Salary Range: $136000 - $231200 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems Intelligence & Security BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do-from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
Data and Server Migration Engineer
CapgeminiFounded in 1967, Capgemini is revered as one of the world's leading consulting, technology, and outsourcing agencies. In 2016 alone, the company reported global revenues of €12.5
Role Description We are looking for a Server Virtualization Engineer/Server Admin Migration Engineer with strong Windows infrastructure experience to support infrastructure and file server migration activities within an IT M&A environment. While the role requires solid expertise in virtualized server environments, it also involves hands-on execution of data and file migrations from start to finish. Key Responsibilities - Administer and support VMware-based virtualized environments across production and non-production systems. - Execute infrastructure and file server migrations, including discovery, planning, migration, validation, and post-migration support. - Perform data migrations using tools such as Robocopy, RClone, and PowerShell scripts. - Manage Windows file servers, including NTFS permissions and Windows shares. - Support Active Directory and Azure AD / Entra ID activities related to access and migrations. - Collaborate with networking, security, cloud, and third-party teams to enable migration readiness. - Create and maintain technical documentation and provide status updates to stakeholders. - Participate in technical meetings and communicate effectively with technical and non-technical teams. Qualifications - Strong English B2 skills. - Strong experience in VMware and Windows Server administration. - Experience with on-premise datacenter environments. - Hands-on exposure to file and data migrations. - Knowledge of Active Directory, NTFS permissions, and Windows shares. - Experience with PowerShell scripting and automation. - Basic understanding of networking and VPN concepts. - Ability to work independently and manage tasks end-to-end. Company Description Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Senior Data Engineer, dbt
GTGT provides clients with offshore product teams from CEE, a product development studio & data science services.
• Design and maintain end-to-end data orchestration using Azure Data Factory (ADF) and Databricks Workflows • Build and optimize modular transformation layers using dbt (data build tool) • Ensure documentation is accurate and complete • Implement and manage Data Quality (DQ) processes within dbt to ensure reliable and trusted data • Troubleshoot complex data issues and performance bottlenecks • Work closely with stakeholders to translate business requirements into technical data models



