Title: Integration/Data Engineer (Databricks) Location: Denver United States Job Description: Job#: 3034728 Project Overview: The Veterans Experience Office (VEO) leads VA's strategy to create meaningful Customer Experience (CX) between Veterans and VA employees across all VA channels. VA is focused on putting Veterans at the center of everything VA does and ensuring every interaction is predictable, consistent, and easy. As a result, VA is moving towards a unified approach grounded in the latest advanced analytics and AI methods to collect and analyze operational, experiential, social, behavioral, and enterprise data to support Veterans and their caregivers, dependents, survivors, and advocates. VEO delivers critical milestones that further VA's commitment to deliver excellence, trust, and transparency to our Veteran community and plays a key role in delivering data-driven business processes, tools, and technological solutions. Our team is committed to supporting VEO in improving the insights derived from the vast amounts of Veteran and CX data, enhancing the platforms that operationalize that data and driving efficiency across all major VEO programs. Scope of Work: The VA EMACS data, analytics, and AI teams accelerate action through data and insights to enhance the experiences of Veterans and their families, caregivers, survivors, and advocates through turning operational, experiential, social, behavioral, and enterprise data into insights for action and providing data, reporting, and analytics to stakeholders across VA. The team builds products and solutions from integrated data and transforms insights into Veteran impact, orchestrates coordinated responses, and optimizes experiences with AI and the latest data technologies. The team develops data engineering processes to ingest a variety of data sets (e.g., operational, experiential, social, behavioral, enterprise), integrates and aggregates for targeted use cases, and improves data and insights accessibility for enhanced decision-making. The team generates comprehensive reporting that drives strategic decisions and generates actionable insights across all levels of the organization. The team builds data, analytics, and AI products/solutions to enhance service delivery and optimize outcomes for Veterans and their families, caregivers, survivors, and advocates in VA priority areas, including homelessness, crisis, access to care, contact center, and additional use cases in alignment with VA/VEO priorities. The Team: The VA EMACS data, analytics, and AI teams operate together to deliver data engineering, analytics, and AI solutions. The team is comprised of cross-functional resources who work together in an agile development process with two week-long sprint cycles. Team members are expected to be proactive, collaborative, and mission-focused in the development of enterprise solutions for users across VA. Role: The VA EMACS team is looking for an Integration/Data Engineer to help optimize Veteran VA customer experience through data, analytics, advanced analytics, and AI tools and techniques in direct support of the Veterans Experience Office (VEO). Position Responsibilities (including but not limited to): - Build data engineering pipelines to support data ingestion, data conditioning/cleansing, and data integration/aggregation to enable use case and data product development. - Configure data analytics processes to integrate data from various VA systems into Customer Experience Insights (CXI) data warehouse. - Implement systems integration use cases to enable seamless data exchange among various VA systems. - Engage with data scientists, data analysts, and data stewards to understand the functional and technical data integration and management requirements; develop technical specifications to illustrate/capture the requirements. - Develop automated scripts for data extraction, conditioning, and integration of large data sets into actionable insights for informed client decision-making - and maintain developed models. - Support ad-hoc data analytics requests by quickly understanding requirements and mapping those requirements to data attributes; deliver ad-hoc data reports based on client reporting specifications. - Support data analytic product capabilities by studying information needs specific to the client; conferring with users; and following a hybrid agile software development lifecycle. Required Qualifications: - Must have experience with Databricks as it relates to data engineering. Databricks is the primary platform they will be using for ETL/Data Warehousing and this role requires Databricks development expertise. - 1+ years of experience in Python/Spark programming for implementing data operations such as connectivity, data manipulation, data integration and publication. - 1+ years of experience in SQL or related query languages. - 1+ years of experience developing ETL pipelines and troubleshooting data load issues. - 1+ years of experience in Databricks for data engineering, systems integration, or machine learning projects. - 1+ years' experience in data warehousing projects and understanding of implementation of dimensional modelling concepts such as fact and dimension tables. - 1+ years of experience working with GitHub for code management and deployment. - 1+ years of experience working with Agile development frameworks. - 1+ years of prior experience with data analytics with at least 2+ years of experience working in an IT environment. - 1+ years of prior consulting experience. - 1+ years of prior work experience in or with the Federal government. - Ability to quickly adapt and excel in a fast-paced environment. - Experience working with Microsoft Word, PowerPoint, Excel, and Visio. - Strong organizational and collaboration skills. - Strong written and verbal communication skills to support business writing, reporting, team and client collaboration, and professional correspondence. - Must hold a minimum of a bachelor's degree. Preferred Qualifications: - 3+ years of prior experience working in data and analytics environments. - 3+ years of experience with data engineering and ETL development. - 2+ years of experience in Azure cloud services (e.g., Synapse, Containers, ADF, Azure DevOps). - 1+ years of experience developing data analytics products e.g., Power BI. - 1+ years of prior experience in healthcare environments/clients. - Experience with systems integrations e.g., API integrations. - Experience with VA systems e.g., CX Insights, Lighthouse APIs, Medallia. - Experience in/familiar with Jira. - Strong organizational and management skills. Clearance Requirements: Must be a US Citizen with ability and willingness to acquire a U.S. Public Trust Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide. Employee Type: Contract Remote: Yes Location: Denver, CO, US Job Type: Pay Range: $35 - $65 per hour

Role Description We are seeking participants for a conversational audio recording project involving natural customer support-style conversations using provided prompts and instructions. Selected participants may complete recordings individually or with a partner depending on the assignment type and language requirements. Please note: submitting interest through Workable and/or the referral form does not guarantee participation or selection for the project. Due to project volume, language requirements, and limited assignment availability, participant selection and scheduling will be based on operational needs, language alignment, quality review, and a first come, first served model. Qualifications - Strong communication skills in required language(s) - Ability to follow instructions and meet deadlines - Attention to detail - Ability to participate in conversational recordings - Availability aligned with project timelines and assignment needs Requirements - Approximately 1 hour of recording per assignment - Speak naturally (not robotic or scripted sounding) - Follow instructions carefully - Maintain clear audio quality with minimal background noise - Be available for potential re-record requests if needed Participant Responsibilities - Record conversations following provided instructions and prompts - Speak naturally and clearly during recordings - Participate in assigned role-based scenarios - Ensure recordings are completed in a quiet environment - Upload files correctly following project instructions - Re-record assignments if quality requirements are not met - Complete assignments within project deadlines Payment Information - Participants will be paid per approved assignment. - Assignments involve approximately 1 hour of recording time. - Pay Rate for 1 Hour of Recording: $20.00 USD. - Payment is based on approved work and successful quality review. - Work that does not meet quality standards may require re-recording or may not be approved for payment. - Payment timelines and methods will vary depending on participant onboarding type and project structure. Technical Requirements - Computer or laptop with internet access - Working microphone/headset - Ability to use: - Google Sheets - Google Drive - Zencastr - Ability to download, rename, and upload files correctly Agreement & Acknowledgement Selected participants may be required to sign an agreement and acknowledgement form confirming: - Understanding of project instructions and requirements - Acceptance of quality review and payment terms - Consent for project-related use of recorded audio data Fixed Pay Rates (Project-Specific / No Ranges) Please note: These approved premium rates are specific to this project scope and launch phase only. Rates are fixed and non-negotiable. For participants currently onboarded through Deel: Existing Deel rates and onboarding structures may remain in place depending on assignment type and operational alignment.

Role Description - Design, Entwicklung und Optimierung von Machine-Learning- und Deep-Learning-Modellen - Konzeption, Implementierung und Optimierung von NLP-Lösungen, LLMs sowie RAG-Architekturen - Aufbau von Retrieval- und Knowledge-Layern für semantische Suche mit Embeddings sowie Vektor- oder Graph-Datenbanken - Aufbau, Deployment und Betrieb von ML- und GenAI-Services - Aufbau und Betrieb skalierbarer Datenpipelines Qualifications - Mindestens 7 Jahre Berufserfahrung als AI / ML / Data Engineer - Abgeschlossenes Studium der Informatik, Mathematik, Physik, Data Science oder vergleichbare Qualifikation - Mehrjährige Erfahrung mit Programmiersprachen wie Python - Fundierte Fachkenntnisse in der Entwicklung und Optimierung von Machine-Learning- und Deep-Learning-Modellen mit TensorFlow oder PyTorch - Umfassende Erfahrung in NLP sowie mit LLM- und RAG-Architekturen - Berufserfahrung im Aufbau von Retrieval- und Knowledge-Layern für semantische Suche mit Embeddings sowie Vektor- oder Graph-Datenbanken - Sehr gute Kenntnisse im Aufbau und Betrieb skalierbarer Datenpipelines mit Apache Spark oder SQL und ETL-Tools Benefits - Fixgehalt ab 80.000 € mit Gewinnbeteiligung bis zu 70.000 € - Flexible Arbeitszeiten und Remote-Arbeit - 30 Tage Urlaub - IT-Equipment wie Apple MacBook - Regelmäßige Teamevents - Corporate Benefits wie betriebliche Altersvorsorge, betriebliche Krankenversicherung, Shopping- und Mitarbeiterrabatte

Role Description As a Senior Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people. - Build highly reliable data services to integrate with dozens of blockchains. - Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. - Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. - Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. - Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. Qualifications - A Bachelor's degree (or equivalent) in Computer Science or a related field. - A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment. - Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. - Versatility that spans the entire spectrum of data engineering in one or more of the following areas: - In-depth experience with data stores such as Iceberg, Trino, BigQuery, and StarRocks, and Citus. - Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc. - Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink. - Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. - Proven ability in loading, querying, and transforming extensive datasets. Requirements - Build scalable engines to optimize routine scaling and maintenance tasks. - Enable tasks to be faster next time and reduce dependency on a single person. - Identify ways to compress timelines using the 80/20 principle. - Identify first version, a.k.a., "skateboards" for projects. Benefits - Remote-first and async friendly environment. - High level of personal ownership and accountability. - Close collaboration across teams and functions. - Creative problem solving and out-of-the-box thinking. - A pace that rewards urgency, adaptability, and outcomes. Company Description TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.