Role Description We are seeking a skilled Databricks Engineer with strong expertise in cluster performance optimization, storage tuning, and platform reliability. The ideal candidate will be responsible for ensuring efficient, stable, and scalable Databricks operations, especially during mission-critical processing cycles, while supporting integrated Snowflake–Databricks ecosystems. Qualifications - Strong expertise in cluster performance optimization - Experience in storage tuning - Knowledge of platform reliability - Ability to support integrated Snowflake–Databricks ecosystems Requirements - Experience with Databricks operations - Ability to manage mission-critical processing cycles Benefits - Inclusive workplace culture - Opportunities for growth and learning - Commitment to well-being and individual celebration

Role Description Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Data Engineer to join our dynamic team on a full-time basis. - Developing and maintaining ETL/ELT pipelines using AWS Glue - Using AWS Glue Salesforce connectors to extract and ingest Salesforce data - Transforming, validating, and enriching data within the AWS data platform - Loading processed data into Microsoft Dynamics 365 using Glue integrations/connectors - Designing scalable, resilient, and efficient cloud-based data workflows - Developing Python scripts and Glue jobs for data processing and automation - Writing and optimizing SQL queries for data transformation and analysis - Monitoring and troubleshooting data pipelines and integrations - Collaborating with engineering, platform, and business teams to deliver integrations quickly and reliably - Supporting CI/CD processes and deployment automation for data solutions - Following AWS best practices and Well-Architected principles Qualifications - Strong hands-on experience with AWS Glue - Strong experience with AWS cloud services, including: S3, Lambda, Step Functions, CloudWatch, SQS / SNS, ECS - Experience building ETL/ELT pipelines in AWS environments - Experience integrating data from Salesforce - Strong SQL skills - Proficiency in Python - Experience processing structured and semi-structured data - Good understanding of scalable and resilient data architectures - Experience with CI/CD practices - Experience working in Agile environments and fast-paced delivery teams Requirements - Experience integrating with Microsoft Dynamics 365 - Experience with Terraform and/or CloudFormation - Experience with Amazon Redshift - Knowledge of Athena, Kinesis, DynamoDB, and DynamoDB Streams - Experience building Spark/PySpark data processing jobs - Understanding of enterprise data governance and compliance standards (GDPR/PECR/DPA) - AWS certifications - Experience with enterprise Salesforce implementations - Experience with CRM migration or synchronization projects - Exposure to event-driven or streaming-based architectures - Experience working on cloud-based enterprise data platforms

Title : Data Engineer and Application Developer Location: Honolulu United States Job Description: The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: - 2+ years of experience utilizing programming languages, including C++, Java, or Python - 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis - Experience creating solutions within a collaborative, cross-functional team environment - Experience developing scripts and programs for converting various types of data into usable formats and supporting project team to scale, monitor, and operate data platforms - Secret clearance - Bachelor's degree and 2+ years of experience with data engineering, including application, or software development in a professional work environment, or 3+ years of experience with data engineering, including application, or software development in a professional work environment in lieu of a degree Nice If You Have: - Experience in application development utilizing SQL or Scala - Experience with Palantir Foundry - Experience working with Maven Smart Systems - Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka - Experience working on real-time data and streaming applications - Experience with NoSQL implementation using MongoDB or Cassandra - Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake - Experience with advanced automation of software delivery, including infrastructure‑as‑code, such as Terraform or AWS CloudFormation, containerization, such as Docker, and orchestration, such as Kubernetes or EKS, aligned to DevSecOps practices Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

• Responsible for critical data ingestion (ingestion, processing) • Ensure data engineering standards are met, both in code and in ingested data • Collaborate with the Data Architect to define design decisions (focusing on scalability, performance, cost, and security) • Guide and develop the data engineering team (code reviews, mentoring, defining best practices) • Work with the product team on prioritization and roadmap development • Lead critical projects