Jobs at SPARK

This Director-level role within the External Data Strategy team at Capital One leads a group of 10 to 15 data scientists in building advanced analytics and machine learning models. The position involves overseeing the full data lifecycle, from sourcing external data and designing feature pipelines to implementing scalable solutions using Python, Spark, and AWS. Key responsibilities include partnering with cross-functional teams to drive business insights, providing technical guidance, and developing talent within the organization. The role appeals to candidates seeking to leverage big data to improve customer financial outcomes within a company that values innovation and data-driven decision-making. It offers the opportunity to work at scale across billions of records while fostering a culture of technical excellence and strategic leadership.

This Data Engineer role supports critical Intelligence Community missions by designing scalable data pipelines and optimizing Spark workloads for cloud-based analytics. The position requires a TS/SCI clearance and involves developing robust Python code, managing Kubernetes orchestration, and ensuring cost-efficient, high-performance data solutions across major cloud providers. The role offers a hybrid work arrangement with locations in Herndon, VA, St. Louis, MO, or Aurora, CO. It is appealing due to the opportunity to work on complex, high-impact projects within a collaborative team of innovators. The company fosters professional growth through annual education funds, provides a generous benefits package including fully vested retirement matching, and maintains a culture that values work-life balance with flexible time off and wellness allowances.

This full-time Hadoop Developer role is based within Bright Vision Technologies' in-house engineering team, operating as a direct W2 position with 100% remote flexibility across the continental United States. The position focuses on designing, building, and maintaining large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. Key responsibilities include developing robust ETL workflows with Apache Spark and Hive, managing high-throughput streaming data via Kafka, and optimizing distributed systems for performance and cost efficiency. The role appeals to candidates seeking long-term career growth within a forward-thinking organization that values innovation and offers a collaborative culture. The position requires five or more years of experience and involves mentoring junior engineers while contributing to the company's mission of transforming business processes through technology.

This senior data engineering role at Starbucks in Nashville focuses on building enterprise data services that power analytics and decision-making. The position involves designing, developing, and supporting scalable data pipelines for both batch and real-time processing while modeling the company's guiding principles. Key responsibilities include translating strategic needs into technical solutions, implementing data governance, and driving operational excellence through automation and performance tuning. The role appeals to candidates seeking a collaborative culture that values extraordinary leadership and service to others. The work arrangement requires an onsite presence four days a week, offering access to comprehensive benefits including tuition coverage, retirement matching, and paid time off.

The Senior Data Engineer role within Disney Entertainment and ESPN's Acquisition Marketing Engineering team focuses on building scalable data infrastructure to power global media analytics. Key responsibilities include architecting and maintaining ETL/ELT pipelines using Databricks, PySpark, and AWS, leading the migration of legacy Snowflake scripts to Unity Catalog, and designing robust ingestion frameworks for diverse marketing vendor data. The position offers the opportunity to shape the future of Disney's media technology by solving complex data challenges at massive scale. This role appeals to engineers seeking high impact within a culture that marries creativity with innovation, featuring remote flexibility and a collaborative environment where professionals mentor junior staff and drive architectural decisions.

This full-time Big Data Analyst role supports Vantor's spatial intelligence mission within a multi-faceted software development and systems administration team. The position requires on-site presence in Herndon, Virginia, with occasional travel to Springfield, Virginia. Key responsibilities include performing dataset evaluations to inform government decision-making, shaping data engineering approaches for analytic improvements, and collaborating with software developers to validate technical implementations. The role appeals to problem solvers seeking to work with massive data footprints and open-source tools in a fast-paced environment where iterative prototyping drives mission success. Candidates will directly impact special operations analysts and contribute to solving unique intelligence challenges while working with diverse technical data types.

This senior Data Architect role within HII's Warfare Systems business group supports critical Executive Order projects focused on enhancing centralized data environments for the Department of War. The position involves designing logical and conceptual data architectures, establishing governance frameworks for data quality and compliance, and integrating disparate sources into unified, auditable systems using cloud platforms and big data tools. The role appeals to professionals seeking to drive transparency and accountability in national defense missions while working with advanced technologies like AWS GovCloud and Azure. The position is remote-eligible with minimal travel required, offering a collaborative culture, opportunities for career growth, and a supportive environment dedicated to safeguarding national security interests.

This senior distinguished engineering role focuses on architecting and scaling foundational compute infrastructure for Capital One's enterprise AI and machine learning platform. The position involves designing highly available, multi-tenant systems using distributed frameworks like Ray and Spark, while optimizing performance for large-scale model training and inference workloads. Key responsibilities include developing control and data plane implementations, automating operational workflows, and leading technical execution for complex projects involving generative AI and transformer models. The role appeals to technical leaders seeking to shape the future of responsible AI in banking, offering the opportunity to mentor talent, influence system design, and work within a collaborative culture that values innovation. This position is eligible for remote work, allowing engineers to contribute to high-impact technology solutions from anywhere.

This Principal Associate Data Scientist role within Capital One's Mainstreet Acquisitions team focuses on developing and governing advanced credit underwriting models to deliver personalized financial offers. The position involves conducting statistical modeling experiments, engineering features from diverse data sources, and building machine learning solutions across the full development lifecycle. Key responsibilities include partnering with cross-functional stakeholders to establish modeling standards and translating complex technical insights into tangible business goals. The role appeals to candidates seeking a collaborative, informal culture that values innovation and intellectual challenge. It offers the opportunity to work with cutting-edge technologies like Python, AWS, and Spark on a large scale, driving real-time decision-making for millions of customers.

This Senior Manager, Machine Learning Engineering role leads an Agile team within Capital One focused on productionizing machine learning applications at scale. The position involves designing ML architectures, developing and reviewing model code, and building optimized data pipelines to solve complex business problems. Key responsibilities include managing model retraining and monitoring, ensuring high availability and performance, and enforcing responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and cloud platforms while leading cross-functional teams. It offers a collaborative environment where professionals can continuously learn and drive technical strategy for state-of-the-art big data solutions.

This management role leads a team of data scientists within the AI Foundations group, focusing on building next-generation recommendation and personalization systems for a Fortune 200 financial institution. The position involves partnering with cross-functional teams to design, train, and deploy high-scale machine learning models using technologies like Python, AWS, and Spark. Key responsibilities include architecting scalable ML pipelines, applying advanced techniques such as Transformer-based architectures and reinforcement learning, and translating complex data insights into tangible business outcomes. The role is appealing due to its opportunity to work at the intersection of deep research and massive real-world impact, leveraging cutting-edge tools to improve customer experiences across billions of records. The team operates in a collaborative environment that values innovation, customer-centricity, and technical excellence.

This delivery driver role with TBR Courier involves executing local routes across the Minneapolis metro area using personal vehicles of any type. Key responsibilities include loading packages early in the morning, navigating dense routes within specific ZIP codes, and ensuring timely drop-offs without overnight travel. The position appeals to candidates seeking flexible scheduling options ranging from part-time weekends to full-time weekdays, along with low mileage to reduce vehicle wear and fuel costs. The company offers a supportive management team, fast onboarding, and the potential for permanent dedicated routes, making it an ideal opportunity for reliable individuals looking to earn consistent income while returning home daily.

This intermediate software engineering role is based in Jersey City, New Jersey, and focuses on Python development within a contract-to-hire arrangement. The position requires extensive experience in system design, application development, and team management. Key responsibilities include building AWS-based services, developing Python applications with APIs, creating Java microservices, and managing data warehouses using tools like Snowflake or Oracle. The role offers the opportunity to work in a large corporate environment while leveraging modern programming languages and the full software development lifecycle. Candidates will join a team that values operational stability and hands-on technical implementation.

This contract role serves as a Lead Data Engineer within the MarTech team, based in San Francisco with a hybrid schedule requiring two days on-site. The position focuses on architecting scalable, event-driven systems to power real-time marketing experiences and automated customer journeys. Key responsibilities include designing orchestration workflows using Adobe Campaign, building high-performance big data applications with Scala and Spark on Azure, and driving AI-assisted engineering practices. The role offers the appeal of leading a high-impact engineering pod, mentoring junior staff, and working with cutting-edge generative AI tools in a collaborative environment that bridges technical execution with business strategy.

This senior applied scientist role focuses on developing the Ads Agent, an AI-powered system that automates and optimizes advertising campaigns for Amazon Ads. The team operates at the intersection of large language models and agentic AI to build intelligent systems capable of planning multi-step workflows and executing autonomous actions. Key responsibilities include designing and evaluating agentic systems, establishing benchmarks for reliability and safety, and conducting rigorous A/B testing to analyze agent behavior. The position appeals to candidates seeking to shape the future of advertising within a fast-moving, small team that values innovation and experimentation. The role requires collaboration with engineers and product managers to deliver scalable solutions at Amazon scale and is based in Seattle.

This Senior Security Investigator role within Microsoft's Security Response Team focuses on protecting Office 365 cloud services and petabytes of business-critical data. The position involves investigating compromised assets, analyzing large-scale log data using tools like Python and SQL, and conducting proactive adversary hunts to identify emerging threats. Key responsibilities include developing automated detection capabilities, creating security tooling, and designing solutions for complex security challenges. The role appeals to candidates seeking a fast-paced environment with a growth mindset, offering significant opportunities to innovate, scale operations to millions of users, and work on cutting-edge security trends. The position requires an active U.S. Government Top Secret clearance with SCI access and polygraph, and operates within a collaborative DevOps model.

This Software Development Engineer role on the AWS Athena team focuses on building innovative big data capabilities that allow customers to efficiently query petabytes of data. The position involves designing, developing, and deploying large-scale distributed systems while contributing to open source frameworks like Hive, Spark, and Presto. Key responsibilities include performance optimization, system architecture, and mentoring engineers on complex technical challenges. The role appeals to candidates seeking an entrepreneurial environment with access to top domain experts, offering significant opportunities for career growth, mentorship, and professional development. The team fosters an inclusive culture that values work-life harmony and continuous learning, with the position based in Bellevue, Washington.

This full-time Machine Learning Engineer role supports the Apple Store Online team, focusing on delivering a personalized digital shopping experience for millions of customers. Key responsibilities include developing advanced algorithms for product search, recommendation systems, and Generative AI, as well as building scalable end-to-end machine learning solutions from concept to deployment. The position requires collaborating with cross-functional teams to optimize infrastructure and mentoring other engineers. The role is appealing due to the opportunity to work on high-impact projects that directly influence customer delight, within a fast-paced environment that values innovation, inclusion, and continuous learning.

The Director of Data Platform role leads the strategic vision and operations of a large-scale data engineering team within the healthcare sector. The position focuses on designing secure, cloud-native architectures using technologies like GCP, Spark, and dbt, while ensuring strict compliance with healthcare regulations such as HIPAA and FHIR. Key responsibilities include managing high-performing engineering teams, establishing technical roadmaps for data ingestion and analytics, and fostering collaboration between data science, product, and clinical stakeholders. This opportunity appeals to leaders seeking to drive innovation in a mission-driven environment where they can shape the future of health data infrastructure. The role is based in an office setting with minimal travel requirements.

This senior-level role within GDIT's Advana team supports national security cyber missions by designing advanced business intelligence solutions for the Department of Defense. The position requires a Top Secret/SCI clearance and involves building analytic data models, creating automated reporting frameworks, and engineering dashboards using tools like Databricks, Tableau, and Power BI. Key responsibilities include ensuring data integrity, leading data quality analytics, and training mission partners to enhance enterprise analytic literacy. The role offers a collaborative environment focused on innovation and career growth through AI-powered development tools and internal mobility support. Located in Falls Church, Virginia, the position is onsite with a standard 40-hour work week and no travel required.

This Principal Data Engineer role within Genworth's Life, Annuity, and Long-Term Care Data Solutions team focuses on leading data architecture and engineering initiatives using Databricks. The position involves mentoring technical leads across multiple build teams, establishing coding standards and frameworks, and overseeing the migration from legacy platforms to modern streaming architectures. Key responsibilities include driving Spark performance optimization, managing CI/CD pipelines, and guiding the adoption of AI and machine learning capabilities. The role appeals to candidates seeking a mission-driven environment where compassion guides business strategy, offering opportunities for professional growth through a Center of Excellence. The position supports a hybrid or remote work arrangement for eligible residents in specific US time zones, fostering a collaborative culture within a high-performing agile organization.

This hybrid Data Analyst role at Doximity supports the mission to improve healthcare by analyzing behavioral patterns of medical professionals on the nation's largest physician network. The position involves leveraging extensive datasets to identify trends, creating product and client-facing analytics, and collaborating with cross-functional teams to define data strategy from ingestion to recommendation. Key responsibilities include writing complex SQL queries, performing exploratory data analysis with Python, and communicating insights through compelling visual storytelling. The role is based in the San Francisco office three days a week, offering a blend of remote and in-person work. It appeals to candidates seeking a high-impact environment within a diverse, inclusive culture that values continuous learning and direct contributions to a $4.3 trillion industry.