Data Literacy Jobs

This entry-level position targets recent graduates and career switchers seeking to launch full-time careers as Data Scientists or Engineers within large enterprise organizations. The role focuses on bridging the gap between academic knowledge and industry requirements by providing training in essential tech stacks such as Python, Java, and machine learning. Key responsibilities include developing hands-on projects, refining technical skills to meet current market demands, and preparing candidates for engineering interviews. The opportunity is appealing due to its structured support system designed to help individuals with limited experience or career gaps secure long-term employment at major tech leaders. The position is offered in a remote work arrangement.

This listing describes a Job Placement Program rather than a specific open position. The program assists candidates in securing junior roles such as Data Scientist, Data Engineer, or Software Developer within major technology companies. Participants engage in structured skill-building to master real-world tools like version control, APIs, and cloud deployment, while receiving support with resume positioning and interview preparation. The initiative is designed for recent graduates, career switchers, and professionals seeking to bridge the gap between academic knowledge and employer expectations. It offers a guided pathway to employment with a focus on building job-ready portfolios and confidence in technical workflows. The program also provides guidance on visa processes for international candidates and connects qualified individuals directly with hiring partners.

This full-time Data Scientist role supports the Product Development Data Science Team at Cavallo, a company building profit-technology solutions for the manufacturing and distribution sectors. The position focuses on the end-to-end data science lifecycle, including transforming raw data into robust features, building scalable predictive models, and deploying machine learning algorithms directly into software products. Key responsibilities involve partnering with product teams to align business goals with data strategies, analyzing complex distribution problems to identify margin opportunities, and translating technical findings into clear, actionable insights for stakeholders. The role appeals to candidates seeking a collaborative, people-first culture with a legacy of innovation since 2003. It offers the opportunity to work with modern AI and ML frameworks in an environment that values creativity, ownership, and measurable value creation. The position is based at the Grand Rapids headquarters.

The Director, Data Management role leads enterprise data strategy within Larimar Therapeutics' Biotechnology Data Science & AI organization. This position involves designing and owning data governance, master data, and quality frameworks to ensure trustworthy, analysis-ready data across the drug development lifecycle. Key responsibilities include establishing data stewardship models, overseeing cloud data platforms, ensuring regulatory compliance with standards like GxP and HIPAA, and mentoring a high-performing team. The role offers the appeal of driving innovation in a collaborative culture while shaping the future of data in biotechnology. The position is based on-site and requires strong leadership in regulated life-sciences environments.

This full-time Commissioning Engineer role focuses on mechanical or electrical systems within data center projects for an international energy practice. The position involves managing project scope, conducting construction observations, and developing functional test plans for complex building systems. Key responsibilities include executing retro-commissioning studies, performing energy modeling, and optimizing utility plant operations for industrial and commercial clients. The role offers significant opportunities for accelerated career growth within a close-knit team that prioritizes work-life balance and employee well-being. While the position is based remotely, it requires up to 75% travel to project sites, with all expenses covered. The environment fosters professional development through continuous learning and recognition of creative contributions.

This 24-month onsite role at a major financial institution in McLean, VA, involves partnering with stakeholders to drive business decisions through data. Key responsibilities include codifying methodologies into functional code, building automation dashboards using SAS, Python, and React, and performing advanced statistical analysis to support line of business areas. The position offers the appeal of working with a top-ranked staffing firm known for career growth and work-life balance, providing access to Fortune 100 clients and a comprehensive benefits package including health coverage and 401K.

This full-time Data Scientist role is based at P&G's Cincinnati General Offices and focuses on solving complex business challenges using large-scale data and advanced AI. The position involves designing and developing scalable machine learning algorithms, including Generative and Agentic AI, while performing exploratory data analysis and feature engineering on massive datasets. Key responsibilities include collaborating with engineering teams to productionize models, mentoring colleagues as a technical coach, and establishing expertise in specific data science methodologies. The role appeals to candidates passionate about interdisciplinary innovation where computer science meets hard science, offering opportunities to drive transformative business outcomes. The position requires a Master's degree in a quantitative field and proficiency in Python and cloud environments, with a strong emphasis on continuous learning and technical leadership.

This Data Scientist role at ManTech supports critical national security missions for the U.S. intelligence community and federal agencies. The position involves developing predictive models and algorithms to drive data-driven decisions while cleaning, validating, and interpreting complex structured and unstructured datasets. Key responsibilities include collaborating with cross-functional teams to define analytics strategies and communicating technical findings to non-technical stakeholders. The role appeals to candidates seeking to contribute to national security through advanced AI and machine learning work. It offers a collaborative environment with opportunities for professional growth and certification, requiring proficiency in Python, R, and SQL. A security clearance is preferred due to the sensitive nature of the work.

This full-time Commissioning Engineer role supports a multidisciplinary engineering firm specializing in mission-critical data center facilities. The position involves overseeing mechanical or electrical systems for projects ranging from small to large hyperscale sites. Key responsibilities include conducting construction observations, developing functional test plans, executing system tests, and performing retro-commissioning and energy studies. The role requires managing project resources to meet technical, budget, and schedule goals while ensuring compliance with industry standards like ASHRAE and LEED. This opportunity is appealing due to the firm's commitment to professional development, flexible work schedules, and accelerated career growth within a collaborative culture. The position operates on a remote basis with significant travel up to 75 percent to various project sites.

This Technical Integration and Data Management Subject Matter Expert role supports Special Operations Command Pacific by ensuring seamless data synchronization across enterprise systems. The position leads the transition from legacy platforms to MAVEN Smart Systems while guiding staff through the full Operations, Activities, and Investments lifecycle. Key responsibilities include managing the Tech Integration Working Group, establishing data governance rules, and creating dynamic visualizations to drive command decision-making. The role appeals to professionals seeking to impact national security missions within a collaborative environment that values technical expertise and continuous learning. Candidates must hold a DoD Top Secret/SCI clearance and possess strong system-agnostic data management skills.

This Engineer or Senior Engineer role within American Airlines' IT Data domain focuses on designing and implementing scalable data solutions to drive business insights and operational reliability. Key responsibilities include building batch and streaming data pipelines using Microsoft Azure services, managing data migration and governance, and leading DevOps practices for cloud infrastructure. The position offers the opportunity to mentor team members, establish coding standards, and work on high-impact projects involving machine learning and AI. The role is appealing due to the company's commitment to diversity and inclusion, access to extensive travel perks, and a supportive culture that encourages professional growth and work-life balance.

The Manager, IT Data role leads the Information Technology Team within the Information Technology Division at American Airlines. The position focuses on designing, implementing, and managing a cloud-based enterprise data analytics ecosystem, including data delivery, storage, and machine learning initiatives. Key responsibilities involve leading a team of data engineers to build scalable data pipelines, developing enterprise data strategies, and collaborating with cross-functional leaders to ensure secure and resilient data solutions. The role offers the appeal of working with emerging cloud technologies within a global aviation leader, providing opportunities for professional growth and mentorship. Employees benefit from extensive travel perks, comprehensive health and wellness programs, and a culture that prioritizes inclusion and diversity.

This senior Data Architect role focuses on designing and maintaining enterprise-scale data architectures specifically for Medicaid claims, eligibility, and care management within the healthcare sector. The position involves establishing data ingestion frameworks, defining governance standards to ensure HIPAA and CMS compliance, and leading cloud-based modernization efforts using platforms like Snowflake or Azure. Key responsibilities include translating complex regulatory requirements into scalable technical solutions, mentoring data engineering teams, and ensuring data quality across high-volume pipelines. The role is appealing for its opportunity to shape critical healthcare infrastructure while working in a fully remote environment with a collaborative culture that values professional growth and technical leadership.

The Data Conversion Lead role involves directing end-to-end Medicaid data migration efforts within the Human Services department. Key responsibilities include designing and developing complex ETL processes to transform legacy data, establishing conversion strategies that minimize operational risk, and providing technical leadership to development teams. The position requires guiding junior engineers, ensuring compliance with CMS and state regulations, and overseeing validation processes for high-volume datasets. This opportunity appeals to candidates seeking to apply their healthcare domain expertise in a mission-driven environment. The role offers the chance to work on critical system certifications and go-live activities while collaborating with cross-functional teams to support essential government services.

This AmeriCorps VISTA Summer Associate role supports the West Virginia Department of Environmental Protection's water quality initiatives through data management and field operations. The position involves reviewing aquatic habitat reports, performing quality assurance on biological data, and entering information into state databases. Key responsibilities include participating in field sampling to collect water quality and specimen data across various terrains, developing community engagement materials, and assisting with workforce planning resources. The role appeals to individuals seeking to contribute to environmental stewardship in underprivileged areas while gaining hands-on experience in data analysis and field science. The position offers professional development opportunities, healthcare coverage, and a living allowance, with a hybrid work arrangement that combines office-based data tasks with fieldwork in streams and rivers throughout the state.

This Data Engineer role within the United States focuses on designing and maintaining robust batch and real-time data pipelines for a collaborative technology team. Key responsibilities include developing ETL processes to transform data from diverse sources, automating data workflows, and deploying data products on cloud platforms like AWS or Azure. The position also involves partnering with data scientists to operationalize machine learning models while ensuring strict data security and compliance. The role is appealing due to the opportunity to work with advanced technologies such as Databricks and Spark, solve complex data challenges, and contribute to a culture that values innovation and professional growth.

The Data Center Site Selection Manager role leads acquisition and lease contracting negotiations for Meta's global data center infrastructure. Key responsibilities include performing technical due diligence to validate site viability, managing supplier relationships, and developing strategic leasing plans based on market analysis. The position requires collaborating with legal, finance, and engineering teams to navigate complex lease structures and regulatory environments. This opportunity appeals to professionals seeking to shape organizational strategy while integrating AI tools to optimize workflows. The role offers a dynamic environment focused on efficiency and innovation, with a work arrangement that includes domestic travel ranging from 10 to 25 percent.

This remote contract role supports clinical trial data operations within the life sciences sector. The Data Engineer programs SAS edit checks and macros, designs robust ETL and ELT pipelines for structured and unstructured data, and ensures high data quality across analytics and AI/ML model workflows. Key responsibilities include developing study documentation, troubleshooting database issues, and collaborating with biostatistics and R&D stakeholders. The position offers the appeal of working with advanced technologies like Python and Power BI in a flexible, fully remote environment while contributing to meaningful healthcare outcomes.

This full-time Data Tester role within Accenture Flex focuses on ensuring data quality and reliability for leading organizations through automated testing strategies. The position involves designing and executing tests for data engineering pipelines, ETL workflows, APIs, and cloud platforms using Python, PySpark, and SQL. Key responsibilities include collaborating with data engineers and stakeholders to maintain data integrity, developing automation frameworks, and utilizing tools like Azure Data Factory and CI/CD pipelines. The role offers the appeal of working with emerging technologies on a diverse, global network while providing access to world-class learning resources and benefits. As an Accenture Flex employee, the position is based onsite at the local project location, significantly reducing travel demands.

This full-time Data Analyst Technical Staff role supports strategic initiatives and clinical standards within Intermountain Health's Digital Technology Services team. The position involves collaborating with senior leaders and healthcare stakeholders to ensure data integrity, develop meaningful visualizations, and deliver actionable insights through report creation and storytelling. Key responsibilities include managing project priorities, conducting data exploration, and providing training to promote independent data consumption. The role offers the opportunity to work on high-impact healthcare projects in Salt Lake City while fostering professional growth through continuous learning and participation in the analytic community.

This Data Entry Clerk role supports the Onboarding and Implementation teams by processing inbound customer faxed forms and extracting critical data fields. Key responsibilities include accurately transcribing information into Google Sheets, creating labeled datasets for model training and performance evaluation, and validating live traffic to ensure data integrity. The position offers the appeal of working within a diverse and inclusive environment that values authentic contributions, while providing opportunities to support technical engineering projects and accelerate implementation timelines. The role requires strong attention to detail and proficiency with Google Workspace tools, operating with a focus on accuracy and independent execution.

The Senior Data and Applied Scientist role within the Bing Online Metrics team focuses on advancing online A/B experimentation methods and analyzing user engagement with search and AI experiences. Key responsibilities include defining success metrics for customer satisfaction, performing large-scale statistical analysis on telemetry data, and developing tools to interpret experiment results for engineering decisions. This position offers the opportunity to drive strategic direction for major initiatives impacting hundreds of millions of users globally. The role appeals to candidates seeking to work in a data-driven culture where evidence guides product launches, featuring a collaborative environment that values innovation and a growth mindset. The position requires a hybrid work arrangement with specific office attendance expectations based on location.

The Director Data Client Solutions role serves as a strategic technical leader within Surescripts' data-focused business unit, bridging sales, analytics development, and delivery to drive revenue growth. Key responsibilities include leading pre-sales technical discovery, designing custom data architectures for prospects, and enabling account executives with domain expertise to win complex deals. The position also oversees seamless transitions to client success teams and supports account expansion by identifying new opportunities within existing partnerships. This role appeals to candidates seeking to impact patient safety and healthcare quality while working in a collaborative, midsize environment that values transparency and innovation. The position offers a flexible hybrid work arrangement, allowing for virtual work with optional office collaboration, and provides significant opportunities for professional development and cross-functional leadership.

This Principal Data Science Engineer role focuses on developing AI and machine learning algorithms to enhance organ preservation technology and improve patient outcomes in the healthcare sector. The position involves managing the end-to-end lifecycle of data-driven software products, designing clinical decision support models, and ensuring strict adherence to regulatory standards like HIPAA and GDPR. Key responsibilities include collaborating with clinical and engineering teams to translate medical needs into technical solutions, implementing secure data handling practices, and guiding algorithmic strategy. The role is appealing due to its mission-driven environment where employees contribute directly to saving lives by expanding access to viable donor organs. The position offers opportunities for professional growth within a collaborative culture and includes limited domestic and international travel.

This Senior Data Analyst role supports Sedgwick Government Solutions in delivering high-impact analytics to federal healthcare clients. The position involves leveraging advanced descriptive, diagnostic, and predictive analytics to transform complex data into actionable insights for internal and external stakeholders. Key responsibilities include designing and presenting data visualizations using Power BI and SQL, optimizing reporting processes, and collaborating with project teams to develop new analytical methodologies. The role appeals to professionals seeking a mission-driven environment where taking care of people is central to the work, offering opportunities to act as a subject matter expert in healthcare data trends. While the job is based in Columbus, Ohio, it offers remote flexibility with minimal travel requirements.