Our team at Blackline Safety is growing! As a people-driven technology company, with a mission to make sure every worker returns home safely, we drive innovation, practice resiliency, demonstrate leadership, go the extra mile for our customers, and empower our people to be their best. As a Data Engineer, you’ll help expand, optimize, and maintain data pipelines and infrastructure that power our IoT-enabled safety ecosystem. You’ll work with large, real-time and batch datasets from devices across the globe — ensuring our systems are scalable, secure, and delivering accurate, timely data to the teams who need it. Responsibilities: - Design, build, and maintain scalable data pipelines (batch and real-time) using modern cloud tools. - Partner closely with product and engineering teams to deliver data-driven features and services that support our safety mission. - Support our existing ETL/ELT processes, data lake, data warehouse, and data lakehouse environments. - Ensure data quality, reliability, and observability through robust monitoring, alerting, and documentation practices. - Participate actively in architectural discussions and contribute to the long-term strategy of our data platform. Who are you? - You’re a pragmatic builder and problem-solver who’s passionate about enabling better decisions through data. - You understand that clean architecture and thorough documentation are essential, not optional. - You work well in agile teams and enjoy collaborating with product, engineering, and analytics partners. - You have opinions on data modeling, enjoy the challenge of working with event-driven architectures, and are comfortable switching between SQL, Python, Java, Scala and a variety of AWS services. - You have embraced AI-assisted development as a core part of your workflow — leveraging agentic tools such as Claude Code, Amazon Q Developer, and GitHub Copilot to accelerate delivery, reduce toil, and maintain higher standards of code quality. About You - Degree in Computing Science, Data Engineering, Information Technology, or related discipline. - 3 years of experience in a Data Engineer role. Technical Skills: - Experience with event-driven architecture and related technologies (e.g., Apache Kafka, Amazon MSK). - Familiarity with Infrastructure as Code (IaC) and CI/CD best practices in multi-environment deployment workflows, including hands-on experience with Terraform and GitHub Actions. - Experience with monitoring and alerting platforms such as CloudWatch, Datadog, or PagerDuty. - Hands-on experience with ETL/ELT and orchestration tools, including AWS Glue Studio, Matillion, and AWS Step Functions. - Proficiency with AWS data services: Redshift, EMR, S3, Lambda, Kinesis, and MSK. - Strong proficiency in SQL, Python, Java, and/or Scala. Nice to Have: - Experience with additional big data technologies such as BigQuery, Snowflake, Microsoft Fabric, Hive, Hadoop, Apache Flink, or Apache Spark. - Familiarity with BI and analytics tools, including Power BI and Amazon Quick. - Experience supporting data science teams with the infrastructure, tooling, and model-serving pipelines they need. - Familiarity with AI/ML services on AWS, including Amazon Bedrock, SageMaker, or Strands, and an understanding of how data engineering work underpins model training and inference workflows. - Comfort working alongside data scientists to help productionize models, ensure training data quality, and build reliable data feeds for analytical and predictive use cases.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make: We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities: - Lead the design, implementation, and testing of data systems, from architecture to production. - Build batch and real-time data systems that support business needs and critical products. - Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices. - Design and optimize data models to efficiently meet business and product requirements. - Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions. - Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems. - Contribute to long-term data strategies and influence data engineering practices across the organization. - Mentor and guide team members, fostering best practices for data quality and governance. - Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage. Your Expertise: - 9+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE (or 6+ years with a PhD). - Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale. - Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying. - Proven track record of designing and optimizing batch and real-time data pipelines. - Strong collaboration skills with the ability to work with product managers, data scientists, and engineers. - Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability. - Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts. - Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery). - Experience with integrating machine learning models into data systems (preferred). - Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies. - Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.

Role Description Estamos em busca de um Engenheiro de Dados Sênior para se juntar à nossa equipe na Carpe Diem Consultoria. Se você é uma pessoa proativa, analítica e tem uma paixão por transformar dados em insights valiosos, esta é a oportunidade perfeita para você. Como Engenheiro de Dados Sênior, você será responsável por: - Liderar projetos de análise de dados; - Desenvolver pipelines de dados robustos; - Colaborar com diferentes equipes para garantir a entrega de soluções de alta qualidade; - Trabalhar de forma ágil e com atenção aos detalhes. Responsabilidade e atribuições: - Construir pipelines de ingestão e transformação de dados robustos e escaláveis; - Contribuir para uma plataforma de dados resiliente com foco na qualidade de dados; - Estabelecer os stakeholders em todos os processos e contratos de modelagem de dados e governança; - Analisar os ambientes de processamento para melhorias de estabilidade; - Entender o uso das ferramentas disponibilizadas e as dores dos clientes para melhorar sua experiência. Qualifications - Experiência prévia com engenharia de dados e Big Data; - Experiência prévia com as linguagens Python e/ou Scala, SQL e Framework Spark; - Arquitetura e Mapeamento/Modelagem de dados (relacional e/ou analítico); - Ferramentas de ETL/Orquestração como Apache Airflow, Databricks, entre outros; - Experiência em Cloud, de preferência AWS; - Experiência com DevOps, como CI/CD e Github; - Métricas de qualidade de dados analíticos; - Testes unitários. Requirements - Formação acadêmica relevante em Ciência da Computação, Engenharia de Software ou área relacionada; - Experiência em lidar com dados financeiros, incluindo processamento de transações, segurança de dados e privacidade; - Participação em projetos open source. Benefits - Contratação CLT e atuação 100% remota; - Assistência Médica e Odontológica; - Seguro de Vida; - Programa Lado a Lado, com apoio jurídico, social, psicológico e financeiro; - Wellhub; - Cartão de crédito Benefícios, com ampla aceitação; - Licença Maternidade estendida de 6 meses e Paternidade estendida de 20 dias; - Programa "Novo Ser", que acompanha nossas mamães durante toda a gestação e no retorno da licença; - Auxílio Creche para mamães e papais com guarda unilateral ou compartilhada; - PPR - Participação nos Resultados.

Become a part of our caring community We are looking for talented Senior Data Engineer who loves building and pioneering in space technology. Team player who enjoys solving complex problems in fast paced, collaborative and iterative delivery environment It all begins with outstanding talent. It all begins with you. The Senior Data Engineer Designs builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Senior Data Engineer Ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns. Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables Humana to better serve our members. Responsibilities: - Act as one of the primary point of contact for the team, build POCs, build quick prototypes with latest industry standard software libraries and scale it for the platform - Design, code, test, debug and document programs using Agile development practices - Develops new documentation and departmental technical procedures - Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. - Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality, possible root cause); engaging support teams to assist in the resolution of issues; formulating an action plan; performing actions as designated in the plan; interpreting the results to determine further action; performs root cause analysis to prevent future occurrence of issues; and completing online documentation - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Use your skills to make an impact Required Qualifications: - 10 + years of Data engineering experience with Hands-on experience with Data Lakes, Event Streaming, Data Fabric, DevOps. - 6 + years of experience designing software applications using best practices and design first approach - 6 + years of experience with Python, Azure Databricks, Pyshark, Snowflake, - Experience in event-based streaming using Kafka in various formats like Json or Avro - Experience designing and developing cloud solutions using AWS, Azure or Google is a significant plus - Experiencing leading engineering team/teams in end-to-end delivery - Proficiency in federated data architectures (e.g., Data Mesh) and centralized models. - Strong experience with metadata management, data lineage, governance, discovery, and quality. - Experience in Database related tech like Oracle or Sql server - You identify with the success of the team, and dive in to do whatever it takes to create the best work - Experience analyzing existing applications and making modifications for new features while maintaining other existing functionalities - Experience working with GitHub and/or GitLab, SonarQube, JUnit, designing unit test cases using TDD and BDD methodologies - Experience using CI/CD pipelines and code quality tools - Test driven mindset using frameworks like Junit, SOAPUI, Selenium and contract testing tools - Expert knowledge of the Agile methodologies - Experience in Docker and Kubernetes Preferred Qualifications: - Familiarity with machine learning frameworks, tools and MLOps - Experience with developing highly scalable and always available applications on large-scale distributed databases. - Experience in React or Angular - Experience in micro services design and development - Exposure to AI Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $117,600 - $161,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 03-30-2026 About us About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. ​ Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.