Role Description Profissional de nível PL/SR que atua com (Dados). Irá atuar na modalidade remoto. - Projetar, construir e manter pipelines de dados escaláveis e resilientes - Trabalhar com grandes volumes de dados estruturados e não estruturados - Garantir qualidade, consistência e governança dos dados - Colaborar com engenheiros de software, analistas e cientistas de dados - Participar de decisões técnicas sobre arquitetura de dados e ferramentas Qualifications - Experiência com engenharia de dados em ambientes distribuídos - Conhecimento em Apache Spark e Scala - Experiência com AWS (Glue, S3, EMR, Athena, Redshift etc.) - Conhecimento em modelagem de dados, ETL/ELT e pipelines de dados - Familiaridade com bancos de dados relacionais e NoSQL - Experiência com processamento em batch e streaming Requirements - Experiência com Apache Kafka ou Amazon MSK - Conhecimento em modernização de sistemas legados - Experiência com Delta Lake, Apache Hudi ou Iceberg - Familiaridade com CI/CD para dados (dbt, Airflow, Terraform) Benefits - Goste de trabalhar em equipe e seja colaborativa em suas atribuições - Tenha coragem para se desafiar e ir além, abraçando novas oportunidades de crescimento - Transforme ideias em soluções criativas e busque qualidade em toda sua rotina - Tenha habilidades de resolução de problemas - Possua habilidade e se sinta confortável para trabalhar de forma independente e gerenciar o próprio tempo - Tenha interesse em lidar com situações adversas e inovadoras no âmbito tecnológico

Role Description Profissional de nível PL/SR que atua com (Dados). Irá atuar na modalidade remoto. Responsibilities - Projetar, construir e manter pipelines de dados escaláveis e resilientes - Trabalhar com grandes volumes de dados estruturados e não estruturados - Garantir qualidade, consistência e governança dos dados - Colaborar com engenheiros de software, analistas e cientistas de dados - Participar de decisões técnicas sobre arquitetura de dados e ferramentas Qualifications - Experiência com engenharia de dados em ambientes distribuídos - Conhecimento em Apache Spark e Scala - Experiência com AWS (Glue, S3, EMR, Athena, Redshift etc.) - Conhecimento em modelagem de dados, ETL/ELT e pipelines de dados - Familiaridade com bancos de dados relacionais e NoSQL - Experiência com processamento em batch e streaming Requirements - Experiência com Apache Kafka ou Amazon MSK - Conhecimento em modernização de sistemas legados - Experiência com Delta Lake, Apache Hudi ou Iceberg - Familiaridade com CI/CD para dados (dbt, Airflow, Terraform) Behavioral Description - Goste de trabalhar em equipe e seja colaborativa em suas atribuições - Tenha coragem para se desafiar e ir além, abraçando novas oportunidades de crescimento - Transforme ideias em soluções criativas e busque qualidade em toda sua rotina - Tenha habilidades de resolução de problemas - Possua habilidade e se sinta confortável para trabalhar de forma independente e gerenciar o próprio tempo - Tenha interesse em lidar com situações adversas e inovadoras no âmbito tecnológico

Role Description ICF is seeking an Azure AI Data Engineer to join our team. This is a cross-functional position with significant responsibility and opportunity to shape the future direction of our team. Candidates will be required to focus on data development tasks to collect, store, validate, and process large datasets in the Azure environment. This position will be part of a Data Engineering team working on quantitative software products and services, so experience working in a product development environment is desired. Successful candidates will be very analytical with a high attention to detail in a quantitative environment to ensure a stable, repeatable, and accurate production data stream. Successful candidates will also enjoy an independent work environment where they can take a high level of ownership of their accomplishments. Responsibilities - Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance, leveraging AI-driven anomaly detection and predictive insights to proactively identify and resolve issues. - Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities, with a strong focus on emerging AI services, generative AI, and intelligent data platforms to drive innovation. - Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks. - Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information. - Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions. - Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards. Qualifications - Bachelor's degree in Computer Science, Engineering, Data Science, Math, Energy, or related technical fields. - 5+ years of hands-on experience designing, developing, and supporting database and data engineering solutions within an Azure-based environment, including work across the full SDLC in an Agile or product-focused team or related work experience. - Experience designing, developing, and integrating AI-driven solutions, including building AI agents or intelligent workflows that enhance data pipelines, automation, analytics, or decision support within an Azure-based environment. - Strong experience with Azure data services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure SQL Data Warehouse, along with advanced SQL, data modeling, data pipeline automation, performance tuning, and data quality management. - Must be able to pass a background check, have a valid driver’s license, and successfully pass a Motor Vehicle Records (MVR) check and drug screening. Preferred Qualifications - Ability to work in a distributed team environment. - Experience working on quantitative software products. - An outstanding academic record with a focus on Energy, Science, Math, and Engineering or similar. Professional Skills - Strong listening, interpersonal, and proactive communication skills, with the ability to build and maintain effective relationships across technical and business stakeholders. - Highly self-motivated and self-directed, with sound independent judgment and the ability to solve complex technical problems. - Excellent organizational and prioritization skills, with the ability to manage multiple tasks and shift priorities in an Agile environment. - Proven ability to drive end-to-end delivery, ensuring stakeholder buy-in and successful adoption of technology solutions. Benefits - Flexible workplace arrangements, work-life balance. - Donation matching, volunteer opportunities. - Tuition reimbursement, access to professional development resources, 401k matching, Employee Stock Purchase Plan. - And many, many more (Ask your recruiter for more details!). Pay Range The pay range for this position based on full-time employment is: $89,649.00 - $152,404.00.

Role Description TEKsystems is looking for a Data Engineer to lead the design, build, and optimization of our modern data platform on Microsoft Fabric—with a focus on Fabric Data Warehouse, OneLake, and Lakehouse patterns. Key Responsibilities - Architect & Build on Fabric - Design and implement Fabric Data Warehouse schemas (star/snowflake, dimensional modeling) and Lakehouse patterns using Delta/Parquet. - Orchestrate end-to-end pipelines with Data Factory (Fabric Pipelines) and Dataflows Gen2—batch and (where relevant) near-real-time. - Develop robust SQL (T‑SQL/DAX‑aware patterns) and Spark notebooks (PySpark) for complex transformations. - Data Modeling & Performance - Design semantic models that support BI and ML use cases; optimize for cost and performance (partitioning, indexing, caching, concurrency). - Implement CDC/merge/upsert strategies for evolving datasets. - Quality, Observability & Reliability - Implement data validation & testing (unit, schema, anomaly checks), monitor SLAs, and set up alerting & lineage. - Drive data reliability SLOs (freshness, completeness, accuracy). - Security & Governance - Enforce RBAC, row-level/column-level security, masking, and data retention. - Potentially integrate with Microsoft Purview for catalog, lineage, and policies. - DevOps & Lifecycle - Use Git integration in Fabric for version control and CI/CD (multi-environment deploys, templates, release automation). - Establish IaC patterns where applicable (e.g., ARM/Bicep/Terraform for related Azure resources). - Collaboration & Leadership - Partner with Analytics Engineers, Data Scientists, and Power BI Developers to translate requirements into technical designs. - Mentor engineers and champion best practices (coding standards, reviews, documentation). Qualifications - Experience with Delta Lake patterns, medallion architecture, and near-real-time ingestion. - Familiarity with Power BI semantic models and performance implications. - Azure ecosystem exposure (Key Vault, Event Hub/Kafka, Azure Functions, Synapse migration experience). - Certifications: Microsoft DP‑600 (Fabric Analytics Engineer Associate), DP‑203 (Azure Data Engineer Associate). - Experience with regulated data (HIPAA, SOC 2, GDPR) and data contracts with product teams. Job Type & Location This is a Contract position based out of Deerfield, IL. Pay and Benefits The pay range for this position is $80.00 - $90.00/hr. - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Apr 3, 2026.