Description Please note: This role is contingent upon contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award. Title: Salesforce Data Architect / MuleSoft Integration & Migration Specialist The Work: ICF is seeking a seasoned Data Architect with expertise in MuleSoft integration and data migration to lead the design and implementation of scalable data solutions for a Salesforce Government Cloud Platform deployment. This role will ensure seamless integration with external systems, secure and compliant data migration from legacy platforms, and long-term sustainability of the data architecture. Job Location: Remote work is authorized. Must support US Eastern time zone working hours. What You Will Do - Develop and maintain integration solutions using MuleSoft and Salesforce-native tools (e.g., Salesforce Flow, Data Loader). - Collaborate with stakeholders, Business Analysts, and development teams to define data models, integration flows, and technical specifications. - Design and implement scalable, secure data architectures aligned with DHS and federal compliance standards (e.g., NIST, FISMA). - Lead data migration efforts from legacy systems to Salesforce, ensuring data integrity, accuracy, and completeness. - Perform data mapping, cleansing, transformation, and validation to support migration and integration workflows. - Write and optimize ETL scripts (e.g., SQL, Apex, Python) for data extraction, transformation, and loading. - Support the Authorization to Operate (ATO) process by contributing to cybersecurity documentation and ensuring compliance with DoD and federal security standards. - Provide technical guidance on data governance, data quality, and integration best practices. - Create and maintain technical documentation, including migration plans, integration specifications, and gate review deliverables. - Participate in Agile ceremonies (e.g., sprint planning, daily stand-ups) to align with team goals and timelines. - Troubleshoot and resolve data or integration issues post-deployment to support ongoing system maintenance. What You Will Bring With You - 6+ years of experience in data architecture, migration, and integration development. - 3+ years of experience specifically with Salesforce integration and data migration projects. - Candidate must have a Public Trust or an Active Secret clearance. - U.S. Citizenship is required due to federal contract requirements. - Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. - Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years. What We Would Like You To Bring With You: - Active MuleSoft technical certification (e.g., MuleSoft Certified Developer or Integration Architect) - Salesforce Certified Platform Integration Architect or Salesforce Administrator certification. - Experience working with federal government clients, particularly DHS or DoD. - Familiarity with Salesforce, including its general functionality and the use cases it supports. - Proficiency with Salesforce development and data management tools (e.g., VS Code, Salesforce CLI, Workbench, Data Loader). - Strong scripting skills in SQL, Apex, or Python for ETL processes. - Deep understanding of federal security and compliance frameworks (e.g., NIST, FISMA). - Excellent communication and documentation skills, with the ability to collaborate across technical and non-technical teams. - Background in data migration projects. Professional Skills: - Highly effective analytical and problem-solving capabilities. - Demonstrated critical thinking, attention to detail, and the ability to produce polished and well-organized written deliverables. - Excellent communication and interpersonal skills to interface effectively with team members and federal clients. - Organized, detailed oriented and able to prioritize and multi-task. #icfsalesforce #Li-cc1 #Indeed Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.   Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 Nationwide Remote Office (US99)

This is a remote position. Walker Bowen Talent Partners is excited to partner with a scaling non-emergency medical transportation (NEMT) health tech company as they expand their presence in the state Medicaid (FFS) transportation programs and build a best-in-class capability to compete and win in this segment. If you’re passionate about using data to build product roadmaps that unlock the business process to support teams in a growing company, then we’d love to chat! Our Client Our client is a technology and services company dedicated to reducing barriers to care by improving the delivery of non-emergency medical transportation to people across America. Our client employs proprietary technology, paired with a nationwide network of vetted transportation providers. This enables payers and health systems to deliver cost-effective, on-demand transportation intelligently, enhancing the patient experience in the process. They serve the largest Medicare Advantage, Medicaid, and provider programs in the country. About the Role We’re seeking a Data Engineer to design, build, and optimize scalable data systems that power critical business insights and operational workflows. This role plays a key part in enabling data-driven decision-making across the organization, including supporting high-impact processes such as complaints tracking and resolution. You’ll work cross-functionally to ensure reliable, efficient, and well-designed data infrastructure that supports our client’s mission to improve access to care. Job Responsibilities - Design, build, and maintain scalable ETL pipelines and data workflows to support analytics and operational use cases - Develop and optimize data models and warehouse structures to enable efficient reporting and insights - Partner with cross-functional teams (Operations, Compliance, Product, BI) to translate business requirements into data solutions, including support for complaints and regulatory processes - Improve and maintain data quality, integrity, and governance standards across systems - Optimize query performance, dashboards, and reporting infrastructure for scalability and efficiency - Contribute to system design discussions, ensuring data architecture supports long-term business needs and growth - Troubleshoot and resolve data issues, ensuring reliability and accuracy of datasets used across the organization Requirements Required Qualifications - Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field - 3+ years of professional experience in data engineering or related roles - Experience with Python - Hands-on experience with data modeling, ETL development, and data warehousing - Experience with analytics datastores such as Redshift (preferred), Snowflake, SQL Server, etc. - Experience working with Cloud warehousing solutions such as AWS Glue (preferred), Azure Data Factor, GCP BigQuery, etc. - Experience with BI and reporting tools such as QuickSight (preferred), Tableau, or PowerBI. - Proficiency in at least one modern programming language (e.g., Python, Java, Scala) - Strong problem-solving, troubleshooting, and analytical skills Preferred Qualifications - Strong understanding of system design and data architecture principles - Experience supporting operational workflows or compliance-driven processes (e.g., complaints, claims, or regulatory reporting) - Experience working with multiple database platforms and very large-scale datasets - Strong communication skills with the ability to work cross-functionally Benefits Remote-first work environment, competitive compensation, and comprehensive benefits including: - Career growth and development opportunities in a mission-driven organization - Competitive salary, annual bonus opportunities, and equity options - Remote with flexible hours - Comprehensive medical, dental, and vision insurance - 401(k) with company match - Generous PTO, paid company holidays, and paid parental leave

Hello and thank you for your interest! We're looking for folks nationwide who are great at data entry and typing. We offer a flexible work from home remote position that allows you to stay home with the family! The pay range is flexible from $16/ph to $30/ph DOE and level of experience. You'll meet these requirements to work from home remotely • Stable Internet connection • Work can be done using the following: Phone device, laptap or computer • Must be able to type accurately with a minimum speed of 30 words per minute • Able to focus on tasks without being distracted • Must be resident of the US • Not afraid of emailing clients as needed We're looking for folks who we can depend on who can work from home remotely without distraction and are go-getters. Pay range from 16 to 30 hourly depending on the role, level of experience and proven ability to work from home at the same level as from an office. Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more • Must be 16 year of age or older • Must be proficient with basic PC skills • Must have an internet connection • Basic english written language • Basic english spoken language Thank you for your interest!

Work Location Type: Hybrid Req Number 327423 About Grainger W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com. Compensation The anticipated base pay compensation range for this position is $134,100.00 to $223,500.00. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: - Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. - 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. - 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. - Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. - Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloud‑native data engineering vision while developing scalable platforms and reusable tooling. The leader mentors and grows data engineers, elevating technical quality, operational rigor, and measurable business impact. The role builds and maintains reliable data platforms and primitives that enable machine learning, analytics, and finance teams to operate independently through consistent patterns, tooling, and observability. The Manager also partners across machine learning, analytics, finance, and broader data engineering groups to align architectures, uphold governance, and deliver production‑ready data products that balance flexibility with reliability. You Will - Defines and evolves the data engineering vision by setting modern, cloud‑native standards that ensure scalable platforms and reusable tooling, enabling teams to build solutions faster and with greater consistency. - Leads, mentors, and grows the data engineering team by developing technical capability and operational rigor, raising engineering quality so the organization delivers more reliable and impactful data outcomes. - Builds and maintains core data platforms and primitives in ways that remove friction for machine learning, analytics, and finance partners, ensuring they can access trustworthy, production‑ready data when they need it. - Establishes reusable patterns, tooling, and observability frameworks that empower practitioners to independently build, operate, and extend robust data and ML pipelines, reducing dependency bottlenecks. - Partners with machine learning, analytics, finance, and peer data engineering groups to align architectures and standards, ensuring cohesive roadmaps and clear ownership that accelerate enterprise‑wide data progress. - Drives well‑governed, production‑ready data products by balancing flexibility with reliability, enabling measurable business and model impact through high‑quality, scalable data assets. You Have - Bachelor's Degree or equivalent experience in Computer Science, Data Engineering, Data Science, Software Engineering, or a related technical field required - Master's Degree preferred - 5+ years leading data engineering efforts in complex, cross-functional environments supporting ML and analytics workloads required - Direct people leadership experience required. - Proven ability to lead and stay hands-on building and operating cloud-native data platforms: Airflow (or similar) orchestration, Kafka streaming, and RDBMS foundations (e.g., PostgreSQL). - Experience with lakehouse/warehouse solutions (e.g., Databricks/Delta, Snowflake) and production-grade platform practices (CI/CD, monitoring, security). - Demonstrated ability to set technical direction and influence architecture beyond your immediate team. - Proven commitment to mentoring, upskilling, and building high-leverage engineering teams. - Pragmatic mindset: able to balance opinionated defaults with flexibility and build tools that teams want to adopt rather than are forced to use. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance. #LI-remote