Build and maintain data pipelines with DBT, Airflow, DynamoDB, and AWS Lambda, and develop APIs that serve data to the product.
Own the full stack of client-facing analytics and admin tools, ensuring robust testing and monitoring.
Contribute front-end code to integrate data into product experiences and build telemetry for analytics and machine learning models.
Vivian Health is the largest healthcare jobs marketplace, using an AI-driven platform to connect healthcare professionals with job opportunities and enhance hiring efficiency for employers. Backed by over $75 million in capital from investors like Thoma Bravo, the company has won awards for being a top remote workplace and has a culture focused on innovation and collaboration.
Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
Take full ownership of building features from the ground up, mentoring and leading your team to deliver the right solutions.
Partner with data scientists and engineers to create semantic data models and integrate applications across Shift5 componentry.
Shift5 is building the data platform for onboard operational technology (OT), delivering cybersecurity, predictive maintenance, and compliance capabilities for defense and commercial fleets. They are a growing company with a team-based environment, committed to building an inclusive culture and embracing diversity.
Develop tools and applications in Python for data processing, analysis, and forecasting.
Design and optimize Python/Snowflake-based data pipelines for ingesting, cleaning, and transforming data.
Collaborate with global technical and analyst teams to gather requirements and build innovative analytical solutions.
IDC provides trusted technology intelligence for business and technology leaders. With over 1,000 analysts globally, the company fosters a culture of rigor, integrity, and shared success.
Design, develop, and maintain scalable applications using Python, Django, and AWS services.
Work across the full development lifecycle from concept to deployment in an Agile team.
Leverage AI tools like GitHub Copilot and Claude to accelerate delivery and enhance code quality.
CPI Card Group is a payment technology company and leading provider of credit, debit and prepaid solutions delivered physically, digitally and on-demand. They foster connections and build brands through innovative solutions including financial payment cards and SaaS instant issuance.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Develop and implement analytics applications using data-oriented programming languages and visualization software to transform raw data into meaningful information.
Build and evaluate Marketing ML models using First & Third Party Customer Data, and create end-to-end projects including analysis design, execution, and summarization.
Collaborate with data engineering and operations teams to productionize work and automate processes for recurring analyses and model building.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company serves 93% of the Fortune 100 and offers a trusted portfolio of creative execution and business process consulting.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Design and deploy scalable AWS-based applications using services like EC2, Lambda, and S3.
Build ETL workflows and implement CI/CD pipelines with AWS tools.
Ensure security best practices and optimize performance using CloudWatch.
Mind Computing provides IT solutions and supports government agencies like the Department of Veterans Affairs. They foster a remote-friendly culture with opportunities for training and growth.
Design, implement, and maintain secure data pipelines and ETL processes for mission-critical systems in AWS GovCloud environments.
Develop and optimize data models and schemas across relational and non-relational databases to support analytics and interoperability.
Collaborate with cross-functional teams to ensure data consistency, security, and integrity while adhering to DevSecOps practices.
DecisionPoint provides IT solutions and services, specializing in federal and defense modernization initiatives. We are an equal opportunity employer committed to diversity and inclusion, with a focus on secure and compliant operations.
Build and optimize data pipeline architecture using SQL, Python, and AWS.
Extend the machine learning platform to support new models and analytics.
Supervise junior data engineers and guide cross-functional data initiatives.
NinjaHoldings revolutionizes financial services for everyday Americans through its CreditNinja, NinjaCard, and NinjaEdge brands. The company is a lean, innovative team with offices in Chicago and Miami, fostering a dynamic start-up culture.
Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.
DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.
Design, build, and scale cloud-based data platforms that support critical business insights and operations.
Collaborate with cross-functional teams to extract, load, and transform data using cloud-native principles.
Mentor engineers and drive architectural direction through code reviews, testing, and documentation.
Credit Acceptance is a leading used car finance company in the United States. It has a world-class culture shaped by dedicated Team Members and a shared drive to succeed.
Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions.
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems.
Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges.
Boosted.ai builds AI for finance to optimize investing and boost productivity. They are a rapidly scaling company trusted by enterprises with over $5 trillion under management, backed by top investors, and have a collaborative, low-ego culture.
Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.
WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.
Analyze and process large datasets to support business intelligence and product development.
Design and maintain data pipelines and infrastructure for efficient data flow.
Collaborate with cross-functional teams to implement data-driven solutions.
Tucows is a technology company that provides domain registration, internet services, and mobile connectivity solutions. It operates through its brands Ting, Wavelo, and Tucows Domains, and fosters a culture of inclusion with a focus on community and innovation.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.
Modernize legacy data platforms and optimize data pipelines for performance, scalability, and cost efficiency.
Implement data governance, data quality frameworks, and collaborate with stakeholders to enable analytics and reporting.
Tech Holding is a full-service consulting firm that delivers predictable outcomes and high-quality solutions to clients. Our founders and team members have deep industry experience from startups to Fortune 50 companies, guided by principles of expertise, integrity, transparency, and dependability.
Assist TSD with data products by providing expertise on data engineering methods and best practices.
Design, implement, and maintain efficient data architecture and ELT/ETL pipelines in Azure Synapse and Azure Machine Learning.
Incorporate source control, quality controls, and documentation for all pipelines and data assets.
Integres, LLC is a Service-Disabled Veteran Owned Small Business providing IT solutions. They cultivate a corporate family culture emphasizing work/life balance and servant-leadership.
Design and implement solutions in Python using AWS cloud computing capabilities, including developing AI and LLM-based workflows.
Operate in a collaborative, agile environment with a focus on enabling team success and creating proofs-of-concept and production solutions.
Engage with peers to ensure maintainable solutions and share knowledge across the company.
Two Six Technologies builds, deploys, and implements innovative products that solve complex challenges for US government and Fortune 50 clients. The company fosters a culture of collaboration and trust, empowering its team to push boundaries and support customers in building a safer global future.
Collaborate with U.S.-based clients to architect data solutions and translate requirements into technical specifications.
Design and build batch and real-time data pipelines, automate ETL processes, and ensure data accuracy and security.
Leverage advanced SQL, Python, and cloud data warehouse technologies to drive data-driven decision making for clients.
3Pillar Global is an AI transformation partner that helps enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they foster a global, collaborative culture focused on modernizing and competing in the digital era.
Architect and maintain cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Design and automate ETL/ELT workflows, optimize data models, and enable self-serve analytics and AI.
Manage end-to-end data lifecycles including ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable for the many, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, and pride themselves on a diverse, inclusive culture that values doing the right thing for each other, the community, and the planet.