Data Engineer Our client is seeking a Data Engineer to design, build, and own scalable data solutions that support advanced analytics, AI, and LLM-powered applications. This role is ideal for an experienced engineer who can independently lead complex data workstreams, translate business needs into reliable technical solutions, and collaborate effectively with clients and cross-functional teams. The ideal candidate combines strong hands-on engineering expertise with technical leadership, proactive problem-solving, and the ability to mentor others. This role is fully remote. Data Engineer Responsibilities Lead the architecture, development, and maintenance of scalable batch and real-time data pipelines supporting analytics, machine learning, and AI applications. Build robust ETL/ELT workflows with data quality, lineage, monitoring, observability, performance, and scalability incorporated throughout the data lifecycle. Design data foundations for LLM and generative AI solutions, including unstructured data ingestion, preprocessing, enrichment, embedding pipelines, vector stores, retrieval optimization, and RAG workflows. Architect cloud-based data solutions within AWS using technologies such as S3, Glue, Redshift, Athena, EMR, Kinesis, MSK, Lambda, Step Functions, EventBridge, Lake Formation, and IAM. Establish data contracts, engineering standards, and reusable architecture patterns while ensuring consistency across assigned projects and workstreams. Own data engineering delivery from requirements through implementation, including technical planning, estimation, sequencing, dependency management, and proactive identification of delivery risks. Partner directly with clients and stakeholders to assess data readiness, gather requirements, identify gaps, and translate operational or product needs into practical data architecture recommendations. Collaborate with software engineering, analytics, platform, DevOps, product, and machine learning teams to ensure data solutions effectively support downstream applications and business objectives. Develop clear technical documentation, architecture diagrams, integration designs, and other materials that support project delivery, knowledge sharing, and client communication. Mentor less experienced engineers through code reviews, architecture discussions, pairing, and technical guidance while contributing to engineering standards and internal best practices. Data Engineer Qualifications Significant professional experience designing and delivering production-grade data pipelines, platforms, and cloud-based data architectures with the ability to operate independently on complex initiatives. Strong hands-on experience with ETL/ELT development, data modeling, batch and streaming architectures, data quality, lineage, monitoring, observability, and performance optimization. Advanced experience with AWS data services, ideally including S3, Glue, Redshift, Athena, EMR, Kinesis and/or MSK, Lambda, Step Functions, EventBridge, Lake Formation, and IAM. Experience building data infrastructure for AI or LLM applications, including embeddings, vector databases, unstructured data processing, retrieval architectures, and RAG-based solutions. Demonstrated ability to make technical architecture decisions, establish standards or data contracts, and take end-to-end ownership of a data engineering workstream. Experience with cloud security, governance, infrastructure-as-code, and automated provisioning practices; exposure to FedRAMP or similarly regulated environments is highly valued. Strong understanding of data lakes, data warehouses, streaming platforms, and architectures supporting predictive or real-time machine learning workloads. Proven ability to translate business and product requirements into scalable, maintainable technical solutions while identifying dependencies and potential risks early. Strong written and verbal communication skills with the ability to work directly with technical and non-technical clients, stakeholders, and cross-functional teams. Experience mentoring engineers, conducting technical reviews, and contributing to shared engineering practices, documentation, and knowledge development.

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(DOE) Benefits Benefits are available to eligible full-time employees and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k. Meet VanderHouwen What kind of recruiter do you see yourself working with? One who prioritizes your best interest, no matter what? VanderHouwen does, and we're in it for the long game! Our recruiters focus on YOU, building meaningful, long-term relationships while developing a deep understanding of companies' staffing needs and workplace cultures. This approach helps us find an ideal job match that aligns with your unique career aspirations and goals. VanderHouwen is an award-winning, Women & Diversity-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen places experienced professionals across the nation! Our recruitment teams specialize in either Technology and IT, Engineering, Human Resources, or Accounting and Finance career markets. Partner with us to land your next exciting career! VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state, or federal civil rights laws. #LI-Remote