We are Kubikware™, a digital agency with 20+ years of experience designing and developing web and mobile platforms, as well as video games, AR/VR apps, and AI/ML. We are headquartered in Miami, FL with a strong South American team, and have clients and partners in the US market of all sizes and verticals. Among other accolades, we are a 5-time Inc. 5000 Fastest Growing Companies in America honoree We are looking to expand our amazing roster with a Python Engineer with Data Focus who is well-versed in Python/Django, has strong Data Engineering (PySpark) foundations, and is located in Latin America. We are looking for: - 5+ years in Python/Django and SQL/Postgres. High proficiency in Databricks and PySpark. - Hands-on experience with FastAPI and GraphQL. - Solid knowledge of Kubernetes, Monitoring tools, and CI/CD (Azure DevOps/YAML). - Expert in TDD, Automated Testing, Pair Programming, and AI Code Assistance. - Experience in Geospatial / GIS and data visualization with Tableau. - Excellent written and verbal communication skills We offer: - Fully remote - Long-term - Full-time - No timezone shifting - Compensation in US Dollars If you are as excited to learn more as we are about working with you, please submit your resume and let’s be in touch! Please no agencies or C2C.

Hi! We're on the lookout for a vibrant Data Engineer to join Noda, a licensed UK Payment Institution and the brains behind an innovative Open Banking payments platform. If you're fueled by fintech excitement and seek a global career journey, keep reading! What is Noda? Noda is reshaping online payments, allowing seamless transactions from customers to merchants' bank accounts. Now we're looking for a talented Data Engineer to be part of our dynamic team. Your mission: - Design, implement, and maintain scalable data pipelines using Airflow, Airbyte, DBT, and Snowflake, with some use of Azure Data Factory. - Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers. - Ensure reliable ETL processes, data transformations, and data integration workflows. - Help improve data modeling practices and address weaknesses in dimensional modeling. - Work closely with data analysts, product analysts, and business stakeholders to understand requirements, gather data, and deliver solutions aligned with business goals. - Conduct regular performance tuning and troubleshooting. - Integrate Data from Various Sources: SQL, noSQL, APIs and other tools to pull and integrate data from different sources, building pipelines that deliver consistent, accurate information across platforms. - Document data architecture, processes, and troubleshooting guides, providing clear resources for the team and ensuring continuity in data operations. What are your skills and experience: - Strong skills in SQL. - Proficiency in Python for automation and data tasks. - Familiarity with designing and managing data pipelines and ETL processes. - DBT hands-on experience in creating models as per requirements, using macros, jinja scripting, hooks, automated tests, snapshots, and DBT packages. - Understanding Snowflake concepts like data sharing, replication, dynamic data, using masking policies, secure views, row access policies concepts, tags, streams, tasks, external tables, time travel, clone, storage integration, stages, clustering of larger tables on clustering keys, and role-based access control. - Familiarity with data warehouse design. - Knowledge of data modeling techniques (star/snowflake schemas). - Russian native/fluent - English Upper-Intermediate+ What do we offer? - Your office, your rules: remote-first setup with full flexibility - work from home, one of our offices, a café, or while exploring new places. Wherever you feel most productive, that’s your office. - Keep growing: your growth is our priority. We cover trainings, courses, and certifications so you can sharpen your skills and stay ahead in your field. - Strong connections: distance doesn’t stop us from building great bonds. From virtual hangouts and creative online sessions to local meet-ups and company-wide events, you’ll always feel part of the team. - All the gear you need: we provide the hardware you need and a budget for your home office setup, making sure you’ve got the perfect tools to succeed. - Time to recharge: we value balance just as much as results. That’s why we offer plenty of time off to rest, reset, and come back energised. - Wellbeing budget: your wellbeing matters just as much as your work. We provide a dedicated budget you can spend on what helps you feel your best — whether it’s fitness memberships, mental health support, massages, or other activities that keep you energised, focused, and balanced. What happens once you apply: - Your CV will undergo careful review, and we'll quickly update you on the next step in our recruitment journey. - Get ready for an easy-going 30-minute screening call with our recruiter, where you'll delve into the heart of our company, product, and team dynamics, while sharing your own experiences and aspirations. - Should the vibe match and your expectations align, up next will be an engaging interview with our Head of BI and Analytics. - Then you will have a final conversation with our HR Director and CEO - And if everything clicks, anticipate a thrilling job offer landing in your inbox soon! We do our best to close interview rounds within 3 weeks, although sometimes it might take slightly longer. Send your application our way, we look forward to meeting you!

Overview DecisionPoint seeks a DevSecOps Engineer (Data & Integration) to support automation, security, and monitoring of data integration and analytics platforms within a secure, cloud-hosted Department of Defense (DoD) enterprise environment. The engineer will design, implement, and maintain CI/CD pipelines, containerized workloads, and infrastructure automation supporting critical data ingestion, transformation, and exchange services. This position ensures seamless deployment, secure data flow, and operational stability across AWS GovCloud IL4/IL5 environments, applying Zero Trust principles and continuous compliance monitoring throughout the software delivery lifecycle. This position is fully remote. Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid. Duties & Responsibilities The DevSecOps Engineer (Data & Integration) will: - Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes for data integration and analytics components. - Support secure and efficient data pipeline deployment across AWS GovCloud and DoD environments. - Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or Ansible to manage and provision infrastructure at scale. - Build, configure, and maintain containerized applications using Docker and Kubernetes for data ingestion, transformation, and API services. - Integrate security scanning and compliance validation into CI/CD pipelines using tools such as SonarQube, Twistlock, or Anchore. - Implement and manage monitoring and alerting systems (CloudWatch, ELK Stack, Prometheus, Grafana) to ensure system health and performance. - Collaborate with developers, data engineers, and security teams to ensure DevSecOps best practices are applied across integration workflows. - Support continuous integration testing for data migration, transformation, and interoperability validation. - Maintain configuration baselines and deployment artifacts in compliance with DoD RMF and STIG standards. - Automate backup, recovery, and failover procedures to ensure mission resilience and data availability. - Provide Tier 3 technical support for deployment troubleshooting, root cause analysis, and remediation. - Develop and maintain technical documentation for CI/CD pipelines, IaC templates, and operational runbooks. - Contribute to Continuous Service Improvement (CSI) activities and DevSecOps maturity assessments. Qualifications Clearance Requirement: - Must hold an active Top Secret clearance. Education: - Bachelor’s degree in Computer Science, Information Technology, or a related technical field. Experience: - Minimum 5 years of experience supporting DevSecOps, cloud infrastructure, or data integration environments. - Experience building and managing CI/CD pipelines and infrastructure in federal or defense cloud environments. - Demonstrated success deploying and maintaining secure, containerized applications and data services. Technical Knowledge: - Proficiency with AWS GovCloud, container orchestration (Docker, Kubernetes), and serverless technologies. - Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or AWS CodePipeline. - Familiarity with Terraform, CloudFormation, or other IaC automation frameworks. - Experience with log management and monitoring using CloudWatch, ELK Stack, or Prometheus. - Understanding of DevSecOps principles, Zero Trust architecture, and RMF/STIG security compliance. - Familiarity with data engineering workflows, including ETL, API integration, and data synchronization. - Knowledge of networking, security groups, IAM roles, and encryption mechanisms within DoD or FedRAMP cloud environments. Certifications (Preferred): - AWS Certified DevOps Engineer – Professional or Associate. - CompTIA Security+ CE or equivalent DoD 8570 certification. - Certified Kubernetes Administrator (CKA) or Docker Certified Associate (DCA). Skills: - Strong analytical and troubleshooting skills for complex cloud and integration environments. - Excellent communication and teamwork across cross-functional Agile teams. - Ability to design, implement, and optimize secure automation processes. - Commitment to continuous improvement, security enforcement, and mission readiness. Our Equal Employment Opportunity Policy - EEO and Affirmative Action Policy: DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws. - Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. - Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. Key responsibilities: - Design, develop, and maintain data pipelines using Azure Databricks - Build and optimize data transformations using PySpark and SQL in Databricks - Implement and maintain Lakehouse architectures using Delta Lake - Develop ETL/ELT pipelines orchestrated through Azure Data Factory - Integrate data from multiple sources into the data platform and analytical layers - Design and maintain data models and data warehouse structures for analytics - Ensure data quality, scalability, and performance of large-scale data processing pipelines - Collaborate with BI teams to support Power BI and reporting platforms - Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required - Contribute to the design of modern cloud-based data architectures Qualifications - 3+ years of experience in Data Engineering or Data Warehouse development - Strong experience with Azure Databricks - Experience developing data pipelines using PySpark and Spark SQL - Solid understanding of distributed data processing and big data concepts - Experience working with Delta Lake and Lakehouse architectures - Strong SQL skills and experience with SQL Server relational databases - Experience building data pipelines using Azure Data Factory - Experience handling large datasets and performance optimization Nice to have - Experience with Spark optimization techniques (partitioning, caching, cluster tuning) - Experience with structured streaming in Databricks - Knowledge of CI/CD pipelines for data platforms (Azure Devops) - Familiarity with Power BI - Experience in migrating from traditional ETL process to cloud architectures Additional Information We offer: - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.