Title: Senior Data Engineer Location: Fully Remote Salary: $75-$85 an hour Job Description: Job#: 3034909 Overview We are seeking a Data Engineer to support ongoing data infrastructure and pipeline development within a high-impact engineering program. This role will focus on building and optimizing scalable ETL pipelines, supporting cloud-based data architecture, and enabling analytics and reporting across cross-functional teams. This position is critical to maintaining and enhancing existing data systems, while also supporting new development efforts and knowledge transfer from the current resource. Key Responsibilities - Design, build, and maintain scalable data pipelines and ETL processes across multiple data sources - Develop and optimize data workflows using Python and SQL - Work within a cloud-first environment leveraging AWS services (S3, Glue, Redshift, Lambda, CloudWatch, IAM) - Support infrastructure provisioning and automation using AWS CDK (Infrastructure as Code) - Troubleshoot and resolve issues across existing data pipelines, warehousing, and transformation layers - Partner with business stakeholders, BI teams, and engineers to define and deliver data requirements - Build reliable, maintainable, and extensible data solutions aligned with long-term architecture goals - Improve performance, scalability, and efficiency of data systems and processes - Document processes and support knowledge transfer during transition Required Qualifications - 4+ years of experience in Data Engineering (level flexible based on candidate) - Strong experience with: - SQL (advanced proficiency) - Python (or similar language) - ETL pipeline development and data modeling - Hands-on experience with AWS data ecosystem (S3, Glue, Redshift, Lambda, etc.) - Experience working with large, complex data sets and distributed systems - Strong problem-solving and debugging capabilities - Ability to communicate effectively with both technical and non-technical stakeholders Preferred Qualifications - Experience with: - AWS CDK / Infrastructure as Code (strong plus for this role) - Workflow orchestration tools (Airflow, Step Functions, etc.) - Big data technologies (Spark, EMR, Hadoop) - Experience supporting data transformation and analytics environments - Familiarity with Agile development methodologies Ideal Candidate Profile - Strong AWS-focused data engineering background - Comfortable owning pipelines end-to-end (build + troubleshoot) - Able to ramp quickly and support knowledge transition - Strong communicator with ability to collaborate across teams Why This Role - High-impact role supporting critical data infrastructure - Opportunity to work across data engineering, cloud architecture, and analytics - Exposure to large-scale, modern data environment 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 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

Title: Data Architect Employee Type: Contract Pay Range: $50 - $95 per hour Job#: 3033647 Job Description: Data Architect Location: Remote Employment Type: Contract Role Overview The Data Architect will ensure a high level of data quality across the enterprise through the creation and management of sound data management processes. This individual is responsible for establishing metadata and registries, standardizing data naming, establishing consistent data definitions and business rules, and monitoring overall data quality. The role serves as a senior subject matter expert for enterprise data acquisition and business intelligence plans. Experience with SQL, Qlik, Health Catalyst, Snowflake (preferred), and Epic is required. Key Responsibilities - Lead the architecture, design, and deployment of enterprise solutions spanning multiple technologies, and research and recommend appropriate tools and standards. - Ensure new systems adhere to established data management practices and policies, and lead data warehouse discussions on modeling and integration. - Create and implement the data management strategy, including enforcing data validation at the point of entry and performing regular data audits. - Identify and resolve data quality issues, determine root causes, and implement solutions while ensuring project management methods include deliverables for high-quality data. - Coordinate mass data-cleansing initiatives and apply continuous quality improvement practices. Required Qualifications Education: A High School Diploma is required. Experience: Seven years of experience in data warehouse/business intelligence and internet/client-server systems. This must include three years of RDBMS experience covering data types, change control, performance optimization, and full life-cycle software development. Technical Skills: A broad IT industry knowledge with depth in application development, servers, networks, and databases. Familiarity with various operating systems and data processing techniques. A working knowledge of diverse hardware and software environments is necessary, along with an understanding of architecting internet, client-server, integration, and communications platforms. Preferred Qualifications - A Bachelor's or Master's degree in computer science, business administration, healthcare administration, or a related technology field is preferred. Work Environment We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Apex uses a virtual recruiter as part of the application process. Click here for more details. 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.

Title: Specialist - Data Engineering Location: Westlake United States Job Description: Requisition ID 2026-121993 Category Engineering & Software Development Salary Range USD $92,872.00 - $127,900.00 / Year Your Opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. Job Duties: Develop common frameworks and reuseable components for Data engineering and for data warehouse-related applications using technologies such as Python, SQL, IICS, Google Cloud Platform (GCP), Linux and cloud-native services. Develop, enhance, and support data transformation and data moment logic using ETL and scripting-based approaches, including Pythonbased workflows and enterprise data tools like Informatica Intelligent Cloud Services (IICS). Build and maintain code to support large-scale data ingestion, moment, and copying across enterprise data platforms and storage systems, including cloud and on-premise environments. Design, build and support data processing pipelines to transform and move data across enterprise data platforms, including Google Cloud Platform-based systems, on-premise NAS Drives, Hive, Oracle, MS SQL, Amazon S3 and other data warehouse storage systems. Develop automation frameworks and supporting applications to enable regression testing, unit testing, and quality assurance for data and application workflows. Provide production support by troubleshooting, analyzing, and resolving technical issues related to applications, data pipelines, and platform integrations. Serve as technical leads by guiding architectural decisions, reviewing code, and coaching junior developers to ensure adherence to development standards and best practices. Work closely with distributed development teams, including offshore teams, to ensure timely, efficient, and accurate implementation of technical requirements. Implement and maintain data processing and automation scripts using Unix/Linus environments, SQL, and application-level batch processing logic. Use GitHub Copilot to create and maintain repository-level instructions and develop contextual prompts to support application feature development and code consistency. Implement and manage secure credential handling using enterprise secrets management tools, including Safeguard, by onboarding service accounts and ESAs, configuring API registrations, and associating application certificates for secure password retrieval. Perform application security scanning using tools such as Veracode to identify source code vulnerabilities and implement remediation fixes to address identified security finding. Collaborate with business analysts and technical stakeholders to understand business requirements, translate them into technical solutions, and implement required functionality. What you have Job Requirements: Requires Bachelor’s in Computer Science, Engineering Data Science, or a related field and 24 months of experience in a related occupation.. Experience must include 24 months of experience involving the following: Developing backend applications using Python, including implementing business logic, refactoring existing codebases, and optimizing application performance; Building RESTful services using Python Flask, including request handling, data validation, and integration with backend data stores; Developing frontend user interfaces using Angular, including component-based UI development and integration with backend APIs; Developing server-side application components using .NET and C#, including API development and backend processing logic; Deploying and maintaining applications in cloud environments, including Pivotal Cloud Foundry (PCF); Google Cloud Platform services, including BigQuery and Cloud Storage, to support data processing and application functionality; and GitHub Copilot to create and maintain repository-level instructions and develop contextual prompts to support application feature development. We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab’s internal approach to workplace flexibility). What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future: - 401(k) with company match and Employee stock purchase plan - Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions - Paid parental leave and family building benefits - Tuition reimbursement - Health, dental, and vision insurance

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